diff --git a/README.md b/README.md index b8ca647..6e4b97f 100644 --- a/README.md +++ b/README.md @@ -99,34 +99,34 @@ This curated list contains 920 awesome open-source projects with a total of 5.1M _General-purpose machine learning and deep learning frameworks._ -
Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 +
Tensorflow (πŸ₯‡56 Β· ⭐ 200K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 5K Β· πŸ”€ 75K Β· πŸ“¦ 540K Β· πŸ“‹ 42K - 4% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 5K Β· πŸ”€ 75K Β· πŸ“¦ 540K Β· πŸ“‹ 42K - 4% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 25M / month Β· πŸ“¦ 9.5K Β· ⏱️ 13.08.2025): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 26M / month Β· πŸ“¦ 9.6K Β· ⏱️ 13.08.2025): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 6M Β· ⏱️ 23.10.2025): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 6M Β· ⏱️ 27.10.2025): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 81M Β· ⭐ 2.8K Β· ⏱️ 23.10.2025): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 81M Β· ⭐ 2.8K Β· ⏱️ 30.10.2025): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡56 Β· ⭐ 94K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 6K Β· πŸ”€ 26K Β· πŸ“₯ 110K Β· πŸ“¦ 830K Β· πŸ“‹ 56K - 30% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 6K Β· πŸ”€ 26K Β· πŸ“₯ 110K Β· πŸ“¦ 830K Β· πŸ“‹ 56K - 30% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 68M / month Β· πŸ“¦ 29K Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 70M / month Β· πŸ“¦ 30K Β· ⏱️ 15.10.2025): ``` pip install torch ``` @@ -137,7 +137,7 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡53 Β· ⭐ 64K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.4K Β· πŸ”€ 26K Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.4K Β· πŸ”€ 26K Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/scikit-learn/scikit-learn @@ -153,28 +153,28 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡50 Β· ⭐ 64K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 20K Β· πŸ“¦ 300K Β· πŸ“‹ 13K - 2% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 20K Β· πŸ“¦ 300K Β· πŸ“‹ 13K - 2% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 18M / month Β· πŸ“¦ 2K Β· ⏱️ 21.08.2025): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 19M / month Β· πŸ“¦ 2K Β· ⏱️ 27.10.2025): ``` pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 4.5M Β· ⏱️ 14.08.2025): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 4.5M Β· ⏱️ 28.10.2025): ``` conda install -c conda-forge keras ```
XGBoost (πŸ₯‡46 Β· ⭐ 28K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 8.8K Β· πŸ“₯ 20K Β· πŸ“¦ 170K Β· πŸ“‹ 5.6K - 8% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 8.8K Β· πŸ“₯ 20K Β· πŸ“¦ 170K Β· πŸ“‹ 5.6K - 8% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 32M / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.10.2025): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 31M / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.10.2025): ``` pip install xgboost ``` @@ -185,19 +185,19 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡46 Β· ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 5.9K Β· πŸ“₯ 15K Β· πŸ“¦ 8.8K Β· πŸ“‹ 20K - 8% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“₯ 15K Β· πŸ“¦ 8.8K Β· πŸ“‹ 20K - 8% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 1.6M / month Β· πŸ“¦ 270 Β· ⏱️ 08.09.2025): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 1.6M / month Β· πŸ“¦ 280 Β· ⏱️ 30.10.2025): ``` pip install paddlepaddle ```
jax (πŸ₯‡45 Β· ⭐ 34K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 3.2K Β· πŸ“¦ 47K Β· πŸ“‹ 6.6K - 24% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 3.2K Β· πŸ“¦ 47K Β· πŸ“‹ 6.6K - 24% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/google/jax @@ -213,12 +213,12 @@ _General-purpose machine learning and deep learning frameworks._
pytorch-lightning (πŸ₯‡45 Β· ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on 1 or.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 3.6K Β· πŸ“₯ 15K Β· πŸ“¦ 48K Β· πŸ“‹ 7.4K - 11% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 3.6K Β· πŸ“₯ 15K Β· πŸ“¦ 48K Β· πŸ“‹ 7.4K - 11% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 12M / month Β· πŸ“¦ 1.8K Β· ⏱️ 05.09.2025): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 9.8M / month Β· πŸ“¦ 1.8K Β· ⏱️ 05.09.2025): ``` pip install pytorch-lightning ``` @@ -234,7 +234,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 23M / month Β· πŸ“¦ 5.6K Β· ⏱️ 07.07.2025): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 24M / month Β· πŸ“¦ 5.6K Β· ⏱️ 07.07.2025): ``` pip install statsmodels ``` @@ -245,12 +245,12 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯ˆ44 Β· ⭐ 42K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 29K Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 29K Β· ⏱️ 30.10.2025): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 47M / month Β· πŸ“¦ 2.1K Β· ⏱️ 28.09.2025): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 47M / month Β· πŸ“¦ 2.1K Β· ⏱️ 30.10.2025): ``` pip install pyspark ``` @@ -261,7 +261,7 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ42 Β· ⭐ 18K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.9K Β· πŸ“₯ 310K Β· πŸ“¦ 56K Β· πŸ“‹ 3.6K - 12% open Β· ⏱️ 20.10.2025): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.9K Β· πŸ“₯ 310K Β· πŸ“¦ 56K Β· πŸ“‹ 3.6K - 12% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/microsoft/LightGBM @@ -277,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (πŸ₯ˆ42 Β· ⭐ 8.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 1.2K Β· πŸ“₯ 460K Β· πŸ“¦ 19 Β· πŸ“‹ 2.5K - 25% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 1.2K Β· πŸ“₯ 460K Β· πŸ“¦ 19 Β· πŸ“‹ 2.5K - 25% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 5.2M / month Β· πŸ“¦ 650 Β· ⏱️ 13.04.2025): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 5.1M / month Β· πŸ“¦ 650 Β· ⏱️ 13.04.2025): ``` pip install catboost ``` @@ -293,52 +293,52 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (πŸ₯ˆ41 Β· ⭐ 28K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 7.6K Β· πŸ“¦ 23K Β· πŸ“‹ 1.9K - 13% open Β· ⏱️ 05.09.2025): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 7.6K Β· πŸ“¦ 23K Β· πŸ“‹ 1.9K - 14% open Β· ⏱️ 26.10.2025): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 650K / month Β· πŸ“¦ 340 Β· ⏱️ 19.08.2025): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 640K / month Β· πŸ“¦ 340 Β· ⏱️ 26.10.2025): ``` pip install fastai ```
PyFlink (πŸ₯ˆ39 Β· ⭐ 25K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 14K Β· πŸ“¦ 21 Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2.1K Β· πŸ”€ 14K Β· πŸ“¦ 21 Β· ⏱️ 30.10.2025): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 520K / month Β· πŸ“¦ 37 Β· ⏱️ 25.09.2025): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 450K / month Β· πŸ“¦ 38 Β· ⏱️ 28.10.2025): ``` pip install apache-flink ```
Flax (πŸ₯ˆ38 Β· ⭐ 6.9K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 740 Β· πŸ“₯ 61 Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 34% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 740 Β· πŸ“₯ 61 Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 33% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 2.2M / month Β· πŸ“¦ 740 Β· ⏱️ 25.09.2025): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 2M / month Β· πŸ“¦ 740 Β· ⏱️ 25.09.2025): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 130K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 130K Β· ⏱️ 27.10.2025): ``` conda install -c conda-forge flax ```
Ignite (πŸ₯ˆ36 Β· ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 990 Β· πŸ”€ 660 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 660 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 16.10.2025): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 190K / month Β· πŸ“¦ 120 Β· ⏱️ 23.10.2025): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 170K / month Β· πŸ“¦ 120 Β· ⏱️ 30.10.2025): ``` pip install pytorch-ignite ``` @@ -354,7 +354,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 14M / month Β· πŸ“¦ 2.6K Β· ⏱️ 09.02.2025): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 15M / month Β· πŸ“¦ 2.6K Β· ⏱️ 09.02.2025): ``` pip install einops ``` @@ -363,14 +363,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge einops ```
-
ivy (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ“‰) - Convert Machine Learning Code Between Frameworks. Apache-2 +
ivy (πŸ₯ˆ34 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 - [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.6K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 10.10.2025): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 37K / month Β· πŸ“¦ 16 Β· ⏱️ 16.06.2025): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 33K / month Β· πŸ“¦ 16 Β· ⏱️ 16.06.2025): ``` pip install ivy ``` @@ -382,7 +382,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 130K / month Β· πŸ“¦ 29 Β· ⏱️ 24.03.2025): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 120K / month Β· πŸ“¦ 29 Β· ⏱️ 24.03.2025): ``` pip install jina ``` @@ -397,12 +397,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (πŸ₯ˆ33 Β· ⭐ 5.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.7K - 1% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.7K - 1% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 6.3K / month Β· πŸ“¦ 6 Β· ⏱️ 22.05.2025): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 22.05.2025): ``` pip install mlpack ``` @@ -418,7 +418,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 15M / month Β· πŸ“¦ 160 Β· ⏱️ 04.04.2025): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 17M / month Β· πŸ“¦ 160 Β· ⏱️ 04.04.2025): ``` pip install thinc ``` @@ -434,19 +434,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 3.9K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): ``` pip install ludwig ```
skorch (πŸ₯‰32 Β· ⭐ 6.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 400 Β· πŸ“¦ 1.7K Β· πŸ“‹ 540 - 12% open Β· ⏱️ 15.08.2025): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 400 Β· πŸ“¦ 1.7K Β· πŸ“‹ 540 - 12% open Β· ⏱️ 23.10.2025): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 110 Β· ⏱️ 08.08.2025): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 150K / month Β· πŸ“¦ 110 Β· ⏱️ 08.08.2025): ``` pip install skorch ``` @@ -455,46 +455,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
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Haiku (πŸ₯‰32 Β· ⭐ 3.1K) - JAX-based neural network library. Apache-2 +
Sonnet (πŸ₯‰31 Β· ⭐ 9.9K) - TensorFlow-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 260 Β· πŸ“¦ 2.6K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 29.09.2025): +- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 04.08.2025): ``` - git clone https://github.com/deepmind/dm-haiku + git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 280K / month Β· πŸ“¦ 200 Β· ⏱️ 18.09.2025): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 35K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): ``` - pip install dm-haiku + pip install dm-sonnet ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 44K Β· ⏱️ 19.09.2025): +- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 47K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge dm-haiku + conda install -c conda-forge sonnet ```
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Sonnet (πŸ₯‰31 Β· ⭐ 9.9K) - TensorFlow-based neural network library. Apache-2 +
Haiku (πŸ₯‰31 Β· ⭐ 3.1K Β· πŸ“‰) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 04.08.2025): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 260 Β· πŸ“¦ 2.6K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 29.09.2025): ``` - git clone https://github.com/deepmind/sonnet + git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 42K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 260K / month Β· πŸ“¦ 200 Β· ⏱️ 18.09.2025): ``` - pip install dm-sonnet + pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 47K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 44K Β· ⏱️ 19.09.2025): ``` - conda install -c conda-forge sonnet + conda install -c conda-forge dm-haiku ```
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 700) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 5K Β· πŸ”€ 100 Β· πŸ“₯ 31 Β· πŸ“‹ 400 - 3% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 5K Β· πŸ”€ 100 Β· πŸ“₯ 31 Β· πŸ“‹ 400 - 3% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 1.9K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 1.7K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ``` @@ -506,35 +506,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 15K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 8.1K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 8.2K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge geomstats ```
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NuPIC (πŸ₯‰28 Β· ⭐ 6.4K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation of.. MIT - -- [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“₯ 26 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): - - ``` - git clone https://github.com/numenta/nupic - ``` -- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 1.1K / month Β· ⏱️ 01.09.2016): - ``` - pip install nupic - ``` -
pyRiemann (πŸ₯‰28 Β· ⭐ 700) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 170 Β· πŸ“¦ 480 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 170 Β· πŸ“¦ 480 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 94K / month Β· πŸ“¦ 31 Β· ⏱️ 23.07.2025): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 75K / month Β· πŸ“¦ 31 Β· ⏱️ 23.07.2025): ``` pip install pyriemann ``` @@ -543,6 +531,18 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge pyriemann ```
+
NuPIC (πŸ₯‰27 Β· ⭐ 6.4K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation of.. MIT + +- [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“₯ 26 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): + + ``` + git clone https://github.com/numenta/nupic + ``` +- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 510 / month Β· ⏱️ 01.09.2016): + ``` + pip install nupic + ``` +
Determined (πŸ₯‰26 Β· ⭐ 3.2K Β· πŸ’€) - Determined is an open-source machine learning.. Apache-2 - [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 7.8K Β· πŸ“‹ 450 - 22% open Β· ⏱️ 20.03.2025): @@ -550,7 +550,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 32K / month Β· πŸ“¦ 4 Β· ⏱️ 19.03.2025): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 33K / month Β· πŸ“¦ 4 Β· ⏱️ 19.03.2025): ``` pip install determined ``` @@ -562,19 +562,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 2.3K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 1.6K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): ``` pip install nnabla ```
deepinv (πŸ₯‰26 Β· ⭐ 540) - DeepInverse: a PyTorch library for solving imaging inverse problems.. BSD-3 -- [GitHub](https://github.com/deepinv/deepinv) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 120 Β· πŸ“₯ 22 Β· πŸ“¦ 23 Β· πŸ“‹ 350 - 34% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/deepinv/deepinv) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 120 Β· πŸ“₯ 24 Β· πŸ“¦ 23 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/deepinv/deepinv ``` -- [PyPi](https://pypi.org/project/deepinv) (πŸ“₯ 2.9K / month Β· ⏱️ 08.10.2025): +- [PyPi](https://pypi.org/project/deepinv) (πŸ“₯ 2.4K / month Β· ⏱️ 08.10.2025): ``` pip install deepinv ``` @@ -586,7 +586,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 1.4K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 1.3K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -598,31 +598,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 990 / month Β· ⏱️ 26.02.2025): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 750 / month Β· ⏱️ 26.02.2025): ``` pip install fklearn ```
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Runhouse (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ“ˆ) - Distribute and run AI workloads magically in Python, like.. Apache-2 +
Runhouse (πŸ₯‰21 Β· ⭐ 1.1K) - Distribute and run AI workloads magically in Python, like PyTorch.. Apache-2 -- [GitHub](https://github.com/run-house/kubetorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 42 Β· πŸ“₯ 79 Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/run-house/kubetorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 41 Β· πŸ“₯ 79 Β· ⏱️ 29.10.2025): ``` git clone https://github.com/run-house/runhouse ``` -- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 4.7K / month Β· πŸ“¦ 1 Β· ⏱️ 10.03.2025): +- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 4.5K / month Β· πŸ“¦ 1 Β· ⏱️ 10.03.2025): ``` pip install runhouse ```
NeoML (πŸ₯‰19 Β· ⭐ 790) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 130 Β· πŸ“¦ 2 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 15.07.2025): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“¦ 2 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 340 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 190 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -634,7 +634,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 860 / month Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 770 / month Β· ⏱️ 30.10.2024): ``` pip install chefboost ``` @@ -656,15 +656,15 @@ _General-purpose machine learning and deep learning frameworks._ - dlib (πŸ₯ˆ40 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - Theano (πŸ₯ˆ37 Β· ⭐ 10K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- MindsDB (πŸ₯ˆ33 Β· ⭐ 37K) - AI Analytics and Knowledge Engine for RAG over large-scale,.. ❗️ICU +- MindsDB (πŸ₯ˆ33 Β· ⭐ 37K) - Federated query engine for AI - The only MCP Server youll ever need. ❗️ICU +- Vowpal Wabbit (πŸ₯ˆ33 Β· ⭐ 8.6K Β· πŸ’€) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - Chainer (πŸ₯ˆ33 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- Vowpal Wabbit (πŸ₯‰32 Β· ⭐ 8.6K Β· πŸ’€) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - tensorpack (πŸ₯‰32 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - dyNET (πŸ₯‰31 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - CNTK (πŸ₯‰29 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- Lasagne (πŸ₯‰29 Β· ⭐ 3.9K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT +- Lasagne (πŸ₯‰28 Β· ⭐ 3.9K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (πŸ₯‰26 Β· ⭐ 3.1K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - ktrain (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - ktrain is a Python library that makes deep learning and AI.. Apache-2 - NeuPy (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT @@ -690,7 +690,7 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡49 Β· ⭐ 22K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 8.1K Β· πŸ“¦ 1.9M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 8.1K Β· πŸ“¦ 1.9M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/matplotlib/matplotlib @@ -706,12 +706,12 @@ _General-purpose and task-specific data visualization libraries._
Plotly (πŸ₯‡47 Β· ⭐ 18K) - The interactive graphing library for Python. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.7K Β· πŸ“₯ 540 Β· πŸ“¦ 460K Β· πŸ“‹ 3.3K - 21% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.7K Β· πŸ“₯ 550 Β· πŸ“¦ 460K Β· πŸ“‹ 3.3K - 21% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 36M / month Β· πŸ“¦ 9.7K Β· ⏱️ 02.10.2025): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 37M / month Β· πŸ“¦ 9.7K Β· ⏱️ 02.10.2025): ``` pip install plotly ``` @@ -719,7 +719,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 2.7K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 2.8K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ``` @@ -731,7 +731,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.9K Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.9K Β· ⏱️ 22.10.2025): ``` pip install dash ``` @@ -742,12 +742,12 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (πŸ₯‡45 Β· ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 4.2K Β· πŸ“¦ 100K Β· πŸ“‹ 8.1K - 10% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 4.2K Β· πŸ“¦ 100K Β· πŸ“‹ 8.1K - 10% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.2M / month Β· πŸ“¦ 2.2K Β· ⏱️ 13.10.2025): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5M / month Β· πŸ“¦ 2.2K Β· ⏱️ 13.10.2025): ``` pip install bokeh ``` @@ -774,7 +774,7 @@ _General-purpose and task-specific data visualization libraries._
Altair (πŸ₯‡41 Β· ⭐ 10K) - Declarative visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 800 Β· πŸ“₯ 260 Β· πŸ“¦ 240K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 800 Β· πŸ“₯ 280 Β· πŸ“¦ 240K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/altair-viz/altair @@ -790,19 +790,19 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (πŸ₯ˆ39 Β· ⭐ 10K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 680 Β· πŸ“¦ 1K Β· πŸ“‹ 1.8K - 35% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 680 Β· πŸ“¦ 1K Β· πŸ“‹ 1.8K - 35% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 160K / month Β· πŸ“¦ 36 Β· ⏱️ 20.10.2025): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 170K / month Β· πŸ“¦ 36 Β· ⏱️ 20.10.2025): ``` pip install fiftyone ```
Graphviz (πŸ₯ˆ39 Β· ⭐ 1.8K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 220 Β· πŸ“¦ 95K Β· πŸ“‹ 190 - 6% open Β· ⏱️ 12.10.2025): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 220 Β· πŸ“¦ 95K Β· πŸ“‹ 190 - 6% open Β· ⏱️ 26.10.2025): ``` git clone https://github.com/xflr6/graphviz @@ -811,35 +811,35 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install graphviz ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 58K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 59K Β· ⏱️ 22.04.2025): ``` conda install -c anaconda python-graphviz ```
PyVista (πŸ₯ˆ38 Β· ⭐ 3.3K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 590 Β· πŸ“₯ 960 Β· πŸ“¦ 5.2K Β· πŸ“‹ 2K - 35% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 590 Β· πŸ“₯ 960 Β· πŸ“¦ 5.2K Β· πŸ“‹ 2K - 35% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 880K / month Β· πŸ“¦ 820 Β· ⏱️ 26.08.2025): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 1M / month Β· πŸ“¦ 820 Β· ⏱️ 26.08.2025): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 800K Β· ⏱️ 10.10.2025): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 810K Β· ⏱️ 10.10.2025): ``` conda install -c conda-forge pyvista ```
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.8K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“¦ 17K Β· πŸ“‹ 3.4K - 31% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“¦ 17K Β· πŸ“‹ 3.4K - 31% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 850K / month Β· πŸ“¦ 470 Β· ⏱️ 29.09.2025): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 820K / month Β· πŸ“¦ 490 Β· ⏱️ 29.10.2025): ``` pip install holoviews ``` @@ -847,7 +847,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 370 / month Β· πŸ“¦ 7 Β· ⏱️ 20.06.2025): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 380 / month Β· πŸ“¦ 7 Β· ⏱️ 20.06.2025): ``` npm install @pyviz/jupyterlab_pyviz ``` @@ -859,7 +859,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 500K / month Β· πŸ“¦ 280 Β· ⏱️ 10.10.2025): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 530K / month Β· πŸ“¦ 280 Β· ⏱️ 10.10.2025): ``` pip install pyecharts ``` @@ -871,23 +871,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 580K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 560K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): ``` pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 870K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 880K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pyqtgraph ```
pandas-profiling (πŸ₯ˆ35 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 480 Β· πŸ“¦ 6.9K Β· πŸ“‹ 850 - 30% open Β· ⏱️ 19.09.2025): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 490 Β· πŸ“¦ 6.9K Β· πŸ“‹ 850 - 30% open Β· ⏱️ 19.09.2025): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 340K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 330K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -907,45 +907,45 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 550K Β· ⏱️ 15.07.2025): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 560K Β· ⏱️ 15.07.2025): ``` conda install -c conda-forge plotnine ```
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VisPy (πŸ₯ˆ35 Β· ⭐ 3.5K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
cartopy (πŸ₯ˆ35 Β· ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 620 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 13.10.2025): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 8.1K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 30.10.2025): ``` - git clone https://github.com/vispy/vispy - ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 210K / month Β· πŸ“¦ 200 Β· ⏱️ 19.05.2025): - ``` - pip install vispy + git clone https://github.com/SciTools/cartopy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 970K Β· ⏱️ 30.08.2025): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 810K / month Β· πŸ“¦ 970 Β· ⏱️ 01.08.2025): ``` - conda install -c conda-forge vispy + pip install cartopy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 9 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 5.6M Β· ⏱️ 27.10.2025): ``` - npm install vispy + conda install -c conda-forge cartopy ```
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cartopy (πŸ₯ˆ35 Β· ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 +
VisPy (πŸ₯ˆ34 Β· ⭐ 3.5K Β· πŸ“‰) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 8.1K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 24.09.2025): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 620 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 13.10.2025): ``` - git clone https://github.com/SciTools/cartopy + git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 790K / month Β· πŸ“¦ 970 Β· ⏱️ 01.08.2025): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 190K / month Β· πŸ“¦ 200 Β· ⏱️ 19.05.2025): ``` - pip install cartopy + pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 5.6M Β· ⏱️ 03.09.2025): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 980K Β· ⏱️ 30.08.2025): ``` - conda install -c conda-forge cartopy + conda install -c conda-forge vispy + ``` +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 12 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): + ``` + npm install vispy ```
datashader (πŸ₯ˆ34 Β· ⭐ 3.5K) - Quickly and accurately render even the largest data. BSD-3 @@ -966,12 +966,12 @@ _General-purpose and task-specific data visualization libraries._
lets-plot (πŸ₯ˆ34 Β· ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 54 Β· πŸ“₯ 3.4K Β· πŸ“¦ 190 Β· πŸ“‹ 730 - 21% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 54 Β· πŸ“₯ 3.4K Β· πŸ“¦ 190 Β· πŸ“‹ 740 - 21% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 130K / month Β· πŸ“¦ 16 Β· ⏱️ 12.09.2025): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 120K / month Β· πŸ“¦ 16 Β· ⏱️ 12.09.2025): ``` pip install lets-plot ``` @@ -987,34 +987,34 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 780K Β· ⏱️ 03.09.2025): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 790K Β· ⏱️ 03.09.2025): ``` conda install -c conda-forge wordcloud ```
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Perspective (πŸ₯ˆ33 Β· ⭐ 9.5K) - A data visualization and analytics component, especially.. Apache-2 +
Perspective (πŸ₯ˆ33 Β· ⭐ 9.5K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 12K Β· πŸ“¦ 190 Β· πŸ“‹ 900 - 12% open Β· ⏱️ 15.10.2025): +- [GitHub](https://github.com/perspective-dev/perspective) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 12K Β· πŸ“¦ 190 Β· πŸ“‹ 890 - 12% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 17K / month Β· πŸ“¦ 31 Β· ⏱️ 03.09.2025): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 17K / month Β· πŸ“¦ 31 Β· ⏱️ 28.10.2025): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 2.4M Β· ⏱️ 26.09.2025): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 2.4M Β· ⏱️ 28.10.2025): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 610 / month Β· πŸ“¦ 6 Β· ⏱️ 03.09.2025): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 600 / month Β· πŸ“¦ 6 Β· ⏱️ 03.09.2025): ``` npm install @finos/perspective-jupyterlab ```
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UMAP (πŸ₯ˆ32 Β· ⭐ 8K) - Uniform Manifold Approximation and Projection. BSD-3 +
UMAP (πŸ₯ˆ33 Β· ⭐ 8K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 850 Β· πŸ“¦ 1 Β· πŸ“‹ 860 - 59% open Β· ⏱️ 12.10.2025): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 850 Β· πŸ“¦ 1 Β· πŸ“‹ 860 - 59% open Β· ⏱️ 26.10.2025): ``` git clone https://github.com/lmcinnes/umap @@ -1028,40 +1028,40 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge umap-learn ```
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mpld3 (πŸ₯ˆ32 Β· ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 +
hvPlot (πŸ₯ˆ32 Β· ⭐ 1.3K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 360 Β· πŸ“¦ 7.6K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 27.07.2025): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 110 Β· πŸ“¦ 7.3K Β· πŸ“‹ 940 - 41% open Β· ⏱️ 24.10.2025): ``` - git clone https://github.com/mpld3/mpld3 - ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 450K / month Β· πŸ“¦ 160 Β· ⏱️ 27.07.2025): - ``` - pip install mpld3 + git clone https://github.com/holoviz/hvplot ``` -- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 280K Β· ⏱️ 28.07.2025): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 310K / month Β· πŸ“¦ 270 Β· ⏱️ 29.08.2025): ``` - conda install -c conda-forge mpld3 + pip install hvplot ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1.1K / month Β· πŸ“¦ 11 Β· ⏱️ 27.07.2025): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 860K Β· ⏱️ 04.09.2025): ``` - npm install mpld3 + conda install -c conda-forge hvplot ```
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hvPlot (πŸ₯ˆ32 Β· ⭐ 1.3K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 +
mpld3 (πŸ₯‰31 Β· ⭐ 2.4K Β· πŸ“‰) - An interactive data visualization tool which brings matplotlib.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 110 Β· πŸ“¦ 7.3K Β· πŸ“‹ 940 - 41% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 360 Β· πŸ“¦ 7.6K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 27.07.2025): ``` - git clone https://github.com/holoviz/hvplot + git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 320K / month Β· πŸ“¦ 270 Β· ⏱️ 29.08.2025): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 440K / month Β· πŸ“¦ 160 Β· ⏱️ 27.07.2025): ``` - pip install hvplot + pip install mpld3 ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 860K Β· ⏱️ 04.09.2025): +- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 280K Β· ⏱️ 28.07.2025): ``` - conda install -c conda-forge hvplot + conda install -c conda-forge mpld3 + ``` +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 900 / month Β· πŸ“¦ 11 Β· ⏱️ 27.07.2025): + ``` + npm install mpld3 ```
bqplot (πŸ₯‰30 Β· ⭐ 3.7K) - Plotting library for IPython/Jupyter notebooks. Apache-2 @@ -1100,16 +1100,20 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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HyperTools (πŸ₯‰27 Β· ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT +
openTSNE (πŸ₯‰29 Β· ⭐ 1.6K Β· πŸ“ˆ) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 73 Β· πŸ“¦ 510 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 10.07.2025): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 1.1K Β· πŸ“‹ 150 - 2% open Β· ⏱️ 27.10.2025): ``` - git clone https://github.com/ContextLab/hypertools + git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.07.2025): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 58K / month Β· πŸ“¦ 69 Β· ⏱️ 27.10.2025): ``` - pip install hypertools + pip install opentsne + ``` +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 500K Β· ⏱️ 27.10.2025): + ``` + conda install -c conda-forge opentsne ```
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 1.2K) - Visualize large time series data with plotly.py. MIT @@ -1119,29 +1123,25 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 380K / month Β· πŸ“¦ 38 Β· ⏱️ 29.08.2025): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 370K / month Β· πŸ“¦ 38 Β· ⏱️ 29.08.2025): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 130K Β· ⏱️ 09.10.2025): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 140K Β· ⏱️ 09.10.2025): ``` conda install -c conda-forge plotly-resampler ```
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openTSNE (πŸ₯‰26 Β· ⭐ 1.6K) - Extensible, parallel implementations of t-SNE. BSD-3 +
HyperTools (πŸ₯‰26 Β· ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 170 Β· πŸ“¦ 1.1K Β· πŸ“‹ 140 - 6% open Β· ⏱️ 12.08.2025): +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 73 Β· πŸ“¦ 510 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 10.07.2025): ``` - git clone https://github.com/pavlin-policar/openTSNE - ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 62K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): - ``` - pip install opentsne + git clone https://github.com/ContextLab/hypertools ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 490K Β· ⏱️ 13.10.2025): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 09.07.2025): ``` - conda install -c conda-forge opentsne + pip install hypertools ```
data-validation (πŸ₯‰25 Β· ⭐ 780) - Library for exploring and validating machine learning.. Apache-2 @@ -1163,7 +1163,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.6K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): ``` pip install chartify ``` @@ -1179,39 +1179,39 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 2.9K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2025): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 3.4K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2025): ``` pip install popmon ```
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vega (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
vega (πŸ₯‰22 Β· ⭐ 390 Β· πŸ’€) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 65 Β· πŸ“¦ 4 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 01.01.2025): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 32K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 26K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): ``` pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 930K Β· ⏱️ 04.10.2025): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 940K Β· ⏱️ 04.10.2025): ``` conda install -c conda-forge vega ```
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vegafusion (πŸ₯‰21 Β· ⭐ 380) - Serverside scaling for Vega and Altair visualizations. BSD-3 +
vegafusion (πŸ₯‰21 Β· ⭐ 390) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 26 Β· πŸ“₯ 6.5K Β· πŸ“‹ 150 - 36% open Β· ⏱️ 29.09.2025): +- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 26 Β· πŸ“₯ 6.6K Β· πŸ“‹ 150 - 36% open Β· ⏱️ 29.09.2025): ``` git clone https://github.com/vegafusion/vegafusion ``` -- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 900 / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): ``` pip install vegafusion-jupyter ``` -- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 510K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 520K Β· ⏱️ 27.10.2025): ``` conda install -c conda-forge vegafusion-python-embed ``` @@ -1222,7 +1222,7 @@ _General-purpose and task-specific data visualization libraries._
Show 22 hidden projects... -- missingno (πŸ₯‰30 Β· ⭐ 4.1K Β· πŸ’€) - Missing data visualization module for Python. MIT +- missingno (πŸ₯‰30 Β· ⭐ 4.2K Β· πŸ’€) - Missing data visualization module for Python. MIT - Facets Overview (πŸ₯‰28 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 - Cufflinks (πŸ₯‰28 Β· ⭐ 3.1K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - pythreejs (πŸ₯‰27 Β· ⭐ 980 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 @@ -1238,7 +1238,7 @@ _General-purpose and task-specific data visualization libraries._ - joypy (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - PyWaffle (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Make Waffle Charts in Python. MIT - PDPbox (πŸ₯‰20 Β· ⭐ 860 Β· πŸ’€) - python partial dependence plot toolbox. MIT -- animatplot (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT +- animatplot (πŸ₯‰18 Β· ⭐ 410 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - ivis (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - nx-altair (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT @@ -1255,12 +1255,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡54 Β· ⭐ 150K) - Transformers: the model-definition framework for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3.6K Β· πŸ”€ 31K Β· πŸ“¦ 400K Β· πŸ“‹ 19K - 10% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3.6K Β· πŸ”€ 31K Β· πŸ“¦ 400K Β· πŸ“‹ 19K - 11% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 91M / month Β· πŸ“¦ 11K Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 93M / month Β· πŸ“¦ 11K Β· ⏱️ 14.10.2025): ``` pip install transformers ``` @@ -1276,7 +1276,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 40M / month Β· πŸ“¦ 6.3K Β· ⏱️ 01.10.2025): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 42M / month Β· πŸ“¦ 6.3K Β· ⏱️ 01.10.2025): ``` pip install nltk ``` @@ -1285,26 +1285,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge nltk ```
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litellm (πŸ₯‡46 Β· ⭐ 30K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +
litellm (πŸ₯‡45 Β· ⭐ 30K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 4.4K Β· πŸ“₯ 820 Β· πŸ“¦ 17K Β· πŸ“‹ 7.7K - 17% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 4.5K Β· πŸ“₯ 800 Β· πŸ“¦ 17K Β· πŸ“‹ 7.8K - 17% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 32M / month Β· πŸ“¦ 1.9K Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 34M / month Β· πŸ“¦ 1.9K Β· ⏱️ 29.10.2025): ``` pip install litellm ```
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spaCy (πŸ₯‡42 Β· ⭐ 33K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
spaCy (πŸ₯‡43 Β· ⭐ 33K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 770 Β· πŸ”€ 4.5K Β· πŸ“₯ 4.8K Β· πŸ“¦ 140K Β· πŸ“‹ 5.7K - 3% open Β· ⏱️ 28.05.2025): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 4.5K Β· πŸ“₯ 4.9K Β· πŸ“¦ 140K Β· πŸ“‹ 5.8K - 3% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 16M / month Β· πŸ“¦ 3.2K Β· ⏱️ 23.05.2025): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 17M / month Β· πŸ“¦ 3.2K Β· ⏱️ 23.05.2025): ``` pip install spacy ``` @@ -1336,7 +1336,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.7M / month Β· πŸ“¦ 1.6K Β· ⏱️ 18.10.2025): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.6K Β· ⏱️ 18.10.2025): ``` pip install gensim ``` @@ -1347,12 +1347,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentencepiece (πŸ₯‡42 Β· ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.3K Β· πŸ“₯ 100K Β· πŸ“¦ 120K Β· πŸ“‹ 800 - 3% open Β· ⏱️ 04.10.2025): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.3K Β· πŸ“₯ 110K Β· πŸ“¦ 120K Β· πŸ“‹ 800 - 3% open Β· ⏱️ 04.10.2025): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 30M / month Β· πŸ“¦ 2.4K Β· ⏱️ 12.08.2025): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 31M / month Β· πŸ“¦ 2.4K Β· ⏱️ 12.08.2025): ``` pip install sentencepiece ``` @@ -1368,7 +1368,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 78M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.09.2025): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 81M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.09.2025): ``` pip install tokenizers ``` @@ -1379,40 +1379,52 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
NeMo (πŸ₯‡38 Β· ⭐ 16K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA-NeMo/NeMo) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 3.1K Β· πŸ“₯ 520K Β· πŸ“¦ 21 Β· πŸ“‹ 2.8K - 4% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/NVIDIA-NeMo/NeMo) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 3.2K Β· πŸ“₯ 520K Β· πŸ“¦ 21 Β· πŸ“‹ 2.8K - 4% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 850K / month Β· πŸ“¦ 18 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 810K / month Β· πŸ“¦ 18 Β· ⏱️ 27.10.2025): ``` pip install nemo-toolkit ```
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haystack (πŸ₯‡37 Β· ⭐ 23K Β· πŸ“‰) - AI orchestration framework to build customizable, production-.. Apache-2 +
haystack (πŸ₯‡37 Β· ⭐ 23K) - AI orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.4K Β· πŸ“¦ 1.3K Β· πŸ“‹ 4.1K - 2% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.5K Β· πŸ“¦ 1.3K Β· πŸ“‹ 4.1K - 2% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 7.8K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 7.4K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
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Opik (πŸ₯‡37 Β· ⭐ 15K Β· πŸ“ˆ) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 +
Opik (πŸ₯‡37 Β· ⭐ 15K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 -- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.1K Β· πŸ“¦ 17 Β· πŸ“‹ 520 - 29% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 1.1K Β· πŸ“¦ 17 Β· πŸ“‹ 540 - 29% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/comet-ml/opik ``` -- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 750K / month Β· πŸ“¦ 34 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 850K / month Β· πŸ“¦ 34 Β· ⏱️ 29.10.2025): ``` pip install opik ```
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ChatterBot (πŸ₯‡37 Β· ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 + +- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.5K Β· πŸ“¦ 6.5K Β· πŸ“‹ 1.7K - 6% open Β· ⏱️ 25.10.2025): + + ``` + git clone https://github.com/gunthercox/ChatterBot + ``` +- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 20K / month Β· πŸ“¦ 19 Β· ⏱️ 16.10.2025): + ``` + pip install chatterbot + ``` +
flair (πŸ₯‡37 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 4.1K Β· πŸ“‹ 2.4K - 1% open Β· ⏱️ 12.06.2025): @@ -1420,7 +1432,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 190K / month Β· πŸ“¦ 160 Β· ⏱️ 05.02.2025): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 180K / month Β· πŸ“¦ 160 Β· ⏱️ 05.02.2025): ``` pip install flair ``` @@ -1429,9 +1441,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge python-flair ```
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TextBlob (πŸ₯‡37 Β· ⭐ 9.4K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
TextBlob (πŸ₯‡37 Β· ⭐ 9.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 140 Β· πŸ“¦ 60K Β· πŸ“‹ 280 - 26% open Β· ⏱️ 18.10.2025): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 140 Β· πŸ“¦ 60K Β· πŸ“‹ 280 - 25% open Β· ⏱️ 18.10.2025): ``` git clone https://github.com/sloria/TextBlob @@ -1452,27 +1464,15 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 85K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 77K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 160K Β· ⏱️ 02.10.2025): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 170K Β· ⏱️ 02.10.2025): ``` conda install -c conda-forge fairseq ```
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ChatterBot (πŸ₯ˆ36 Β· ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 - -- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.5K Β· πŸ“¦ 6.5K Β· πŸ“‹ 1.7K - 6% open Β· ⏱️ 20.10.2025): - - ``` - git clone https://github.com/gunthercox/ChatterBot - ``` -- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 21K / month Β· πŸ“¦ 19 Β· ⏱️ 16.10.2025): - ``` - pip install chatterbot - ``` -
stanza (πŸ₯ˆ36 Β· ⭐ 7.6K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 920 Β· πŸ“¦ 4.1K Β· πŸ“‹ 950 - 10% open Β· ⏱️ 05.10.2025): @@ -1480,7 +1480,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 810K / month Β· πŸ“¦ 240 Β· ⏱️ 05.10.2025): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 770K / month Β· πŸ“¦ 240 Β· ⏱️ 05.10.2025): ``` pip install stanza ``` @@ -1491,7 +1491,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯ˆ35 Β· ⭐ 27K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 500K Β· πŸ“¦ 120 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 30.09.2025): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“₯ 500K Β· πŸ“¦ 120 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 30.09.2025): ``` git clone https://github.com/qdrant/qdrant @@ -1516,7 +1516,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 100K / month Β· πŸ“¦ 60 Β· ⏱️ 14.01.2025): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month Β· πŸ“¦ 60 Β· ⏱️ 14.01.2025): ``` pip install rasa ``` @@ -1528,14 +1528,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.7M / month Β· πŸ“¦ 230 Β· ⏱️ 04.04.2025): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.8M / month Β· πŸ“¦ 230 Β· ⏱️ 04.04.2025): ``` pip install tensorflow-text ```
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snowballstemmer (πŸ₯ˆ33 Β· ⭐ 810) - Snowball compiler and stemming algorithms. BSD-3 +
snowballstemmer (πŸ₯ˆ34 Β· ⭐ 810) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 190 Β· πŸ“¦ 11 Β· πŸ“‹ 120 - 17% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 190 Β· πŸ“¦ 11 Β· πŸ“‹ 120 - 17% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/snowballstem/snowball @@ -1568,7 +1568,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 8.4M / month Β· πŸ“¦ 320 Β· ⏱️ 11.10.2025): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 8.6M / month Β· πŸ“¦ 320 Β· ⏱️ 11.10.2025): ``` pip install jellyfish ``` @@ -1577,18 +1577,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge jellyfish ```
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CLTK (πŸ₯ˆ32 Β· ⭐ 870) - The Classical Language Toolkit. MIT - -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“₯ 160 Β· πŸ“¦ 300 Β· πŸ“‹ 580 - 0% open Β· ⏱️ 21.10.2025): - - ``` - git clone https://github.com/cltk/cltk - ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 17K / month Β· πŸ“¦ 17 Β· ⏱️ 21.10.2025): - ``` - pip install cltk - ``` -
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.9K Β· πŸ’€) - An open source library for deep learning end-to-end.. Apache-2 - [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.2K Β· πŸ“¦ 440 Β· πŸ“‹ 640 - 4% open Β· ⏱️ 26.11.2024): @@ -1596,19 +1584,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): ``` pip install deeppavlov ```
ftfy (πŸ₯ˆ31 Β· ⭐ 4K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“₯ 99 Β· πŸ“¦ 33K Β· πŸ“‹ 150 - 7% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“₯ 100 Β· πŸ“¦ 33K Β· πŸ“‹ 150 - 7% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 10M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 11M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): ``` pip install ftfy ``` @@ -1624,11 +1612,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 46K / month Β· πŸ“¦ 50 Β· ⏱️ 01.10.2025): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 42K / month Β· πŸ“¦ 50 Β· ⏱️ 01.10.2025): ``` pip install scispacy ```
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CLTK (πŸ₯ˆ31 Β· ⭐ 870 Β· πŸ“‰) - The Classical Language Toolkit. MIT + +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“₯ 160 Β· πŸ“¦ 300 Β· πŸ“‹ 580 - 0% open Β· ⏱️ 21.10.2025): + + ``` + git clone https://github.com/cltk/cltk + ``` +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 14K / month Β· πŸ“¦ 17 Β· ⏱️ 21.10.2025): + ``` + pip install cltk + ``` +
english-words (πŸ₯ˆ29 Β· ⭐ 12K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 2K Β· πŸ“¦ 2 Β· πŸ“‹ 170 - 75% open Β· ⏱️ 06.01.2025): @@ -1636,7 +1636,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 74K / month Β· πŸ“¦ 15 Β· ⏱️ 14.08.2025): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 78K / month Β· πŸ“¦ 15 Β· ⏱️ 14.08.2025): ``` pip install english-words ``` @@ -1648,7 +1648,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.6K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.2K / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1657,6 +1657,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge rubrix ```
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Dedupe (πŸ₯ˆ29 Β· ⭐ 4.4K Β· πŸ“ˆ) - A python library for accurate and scalable fuzzy matching, record.. MIT + +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 560 Β· πŸ“¦ 370 Β· πŸ“‹ 820 - 9% open Β· ⏱️ 29.07.2025): + + ``` + git clone https://github.com/dedupeio/dedupe + ``` +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 59K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): + ``` + pip install dedupe + ``` +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 130K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge dedupe + ``` +
TextDistance (πŸ₯ˆ28 Β· ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“₯ 1.1K Β· πŸ“¦ 8.8K Β· ⏱️ 18.04.2025): @@ -1668,7 +1684,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 960K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 970K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge textdistance ``` @@ -1689,20 +1705,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy-transformers ```
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Dedupe (πŸ₯‰27 Β· ⭐ 4.4K) - A python library for accurate and scalable fuzzy matching, record.. MIT +
detoxify (πŸ₯‰26 Β· ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 560 Β· πŸ“¦ 370 Β· πŸ“‹ 820 - 9% open Β· ⏱️ 29.07.2025): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 130 Β· πŸ“₯ 1.9M Β· πŸ“¦ 980 Β· πŸ“‹ 67 - 55% open Β· ⏱️ 29.07.2025): ``` - git clone https://github.com/dedupeio/dedupe - ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 57K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): - ``` - pip install dedupe + git clone https://github.com/unitaryai/detoxify ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 130K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 140K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): ``` - conda install -c conda-forge dedupe + pip install detoxify ```
scattertext (πŸ₯‰25 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 @@ -1712,7 +1724,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 8.1K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 7.5K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): ``` pip install scattertext ``` @@ -1721,18 +1733,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge scattertext ```
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detoxify (πŸ₯‰25 Β· ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 - -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 130 Β· πŸ“₯ 1.9M Β· πŸ“¦ 980 Β· πŸ“‹ 67 - 55% open Β· ⏱️ 29.07.2025): - - ``` - git clone https://github.com/unitaryai/detoxify - ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 140K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): - ``` - pip install detoxify - ``` -
T5 (πŸ₯‰24 Β· ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 780 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.04.2025): @@ -1740,19 +1740,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 110K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 83K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ```
DeepKE (πŸ₯‰24 Β· ⭐ 4.2K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 720 Β· πŸ“¦ 25 Β· πŸ“‹ 620 - 0% open Β· ⏱️ 19.07.2025): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 730 Β· πŸ“¦ 25 Β· ⏱️ 19.07.2025): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 930 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 950 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ``` @@ -1764,7 +1764,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 3.8K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 3.4K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -1780,7 +1780,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 2.9K / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 2.7K / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ``` @@ -1792,7 +1792,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.6K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ``` @@ -1804,31 +1804,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 780 / month Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 580 / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
UForm (πŸ₯‰21 Β· ⭐ 1.2K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/UForm) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“₯ 700 Β· πŸ“¦ 36 Β· πŸ“‹ 39 - 38% open Β· ⏱️ 03.09.2025): +- [GitHub](https://github.com/unum-cloud/UForm) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 76 Β· πŸ“₯ 710 Β· πŸ“¦ 36 Β· πŸ“‹ 39 - 38% open Β· ⏱️ 03.09.2025): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 510 / month Β· πŸ“¦ 2 Β· ⏱️ 03.09.2025): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 490 / month Β· πŸ“¦ 2 Β· ⏱️ 03.09.2025): ``` pip install uform ```
small-text (πŸ₯‰20 Β· ⭐ 630) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 76 Β· πŸ“¦ 34 Β· πŸ“‹ 74 - 28% open Β· ⏱️ 24.08.2025): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 76 Β· πŸ“¦ 34 Β· πŸ“‹ 74 - 28% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 580 / month Β· ⏱️ 17.08.2025): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 390 / month Β· ⏱️ 17.08.2025): ``` pip install small-text ``` @@ -1844,19 +1844,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.4K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.2K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` pip install textaugment ```
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VizSeq (πŸ₯‰16 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 450) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 13 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 24.06.2025): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 190 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 120 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ``` @@ -1871,43 +1871,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - Sumy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 - underthesea (πŸ₯ˆ30 Β· ⭐ 1.6K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.6K Β· πŸ’€) - Data augmentation for NLP. MIT -- vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.8K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +- vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.9K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - textacy (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - PyTextRank (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - Ciphey (πŸ₯‰27 Β· ⭐ 20K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT +- fastNLP (πŸ₯‰27 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - polyglot (πŸ₯‰27 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - flashtext (πŸ₯‰26 Β· ⭐ 5.7K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - langid (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - pySBD (πŸ₯‰26 Β· ⭐ 880 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- OpenPrompt (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.9K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - GluonNLP (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - whoosh (πŸ₯‰25 Β· ⭐ 640 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - PyText (πŸ₯‰24 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT +- OpenPrompt (πŸ₯‰24 Β· ⭐ 4.7K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 +- YouTokenToMe (πŸ₯‰24 Β· ⭐ 970 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - FARM (πŸ₯‰23 Β· ⭐ 1.8K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- YouTokenToMe (πŸ₯‰23 Β· ⭐ 970 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT -- NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 -- Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - jiant is an nlp toolkit. MIT -- stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 +- stop-words (πŸ₯‰22 Β· ⭐ 160) - Get list of common stop words in various languages in Python. BSD-3 +- NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 +- Texthero (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - lightseq (πŸ₯‰20 Β· ⭐ 3.3K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - fast-bert (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - Super easy library for BERT based NLP models. Apache-2 - DELTA (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - textpipe (πŸ₯‰20 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- DeepMatcher (πŸ₯‰19 Β· ⭐ 5.2K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - numerizer (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT - pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 -- nboost (πŸ₯‰18 Β· ⭐ 680 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- DeepMatcher (πŸ₯‰18 Β· ⭐ 5.2K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 +- nboost (πŸ₯‰18 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT @@ -1933,48 +1933,48 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡49 Β· ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 2.3K Β· πŸ“¦ 2.4M Β· πŸ“‹ 3.4K - 3% open Β· ⏱️ 17.10.2025): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 2.3K Β· πŸ“¦ 2.4M Β· πŸ“‹ 3.4K - 3% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 210M / month Β· πŸ“¦ 19K Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 220M / month Β· πŸ“¦ 20K Β· ⏱️ 15.10.2025): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 62M Β· ⏱️ 18.09.2025): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 62M Β· ⏱️ 28.10.2025): ``` conda install -c conda-forge pillow ```
PyTorch Image Models (πŸ₯‡42 Β· ⭐ 36K) - The largest collection of PyTorch image encoders /.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 5K Β· πŸ“₯ 8.4M Β· πŸ“¦ 62K Β· πŸ“‹ 1K - 4% open Β· ⏱️ 20.10.2025): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 5.1K Β· πŸ“₯ 8.4M Β· πŸ“¦ 62K Β· πŸ“‹ 1K - 4% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.4K Β· ⏱️ 21.09.2025): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.5K Β· ⏱️ 24.10.2025): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 470K Β· ⏱️ 26.09.2025): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 470K Β· ⏱️ 24.10.2025): ``` conda install -c conda-forge timm ```
torchvision (πŸ₯‡42 Β· ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 7.2K Β· πŸ“₯ 41K Β· πŸ“¦ 21 Β· πŸ“‹ 3.8K - 30% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 7.2K Β· πŸ“₯ 41K Β· πŸ“¦ 21 Β· πŸ“‹ 3.8K - 30% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 25M / month Β· πŸ“¦ 8.4K Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 26M / month Β· πŸ“¦ 8.4K Β· ⏱️ 15.10.2025): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 3.1M Β· ⏱️ 08.10.2025): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 3.1M Β· ⏱️ 23.10.2025): ``` conda install -c conda-forge torchvision ``` @@ -1995,26 +1995,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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deepface (πŸ₯‡39 Β· ⭐ 21K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT - -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 2.8K Β· πŸ“¦ 8.4K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 21.10.2025): - - ``` - git clone https://github.com/serengil/deepface - ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 260K / month Β· πŸ“¦ 78 Β· ⏱️ 05.08.2025): - ``` - pip install deepface - ``` -
Kornia (πŸ₯‡39 Β· ⭐ 11K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1K Β· πŸ“₯ 2.2K Β· πŸ“¦ 17K Β· πŸ“‹ 990 - 30% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 2.2K Β· πŸ“¦ 17K Β· πŸ“‹ 1K - 32% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.9M / month Β· πŸ“¦ 340 Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 3M / month Β· πŸ“¦ 340 Β· ⏱️ 08.05.2025): ``` pip install kornia ``` @@ -2023,14 +2011,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge kornia ```
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imageio (πŸ₯‡39 Β· ⭐ 1.7K Β· πŸ“ˆ) - Python library for reading and writing image data. BSD-2 +
imageio (πŸ₯‡39 Β· ⭐ 1.7K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 330 Β· πŸ“₯ 1.9K Β· πŸ“¦ 180K Β· πŸ“‹ 620 - 16% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 330 Β· πŸ“₯ 1.9K Β· πŸ“¦ 180K Β· πŸ“‹ 620 - 16% open Β· ⏱️ 24.10.2025): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 35M / month Β· πŸ“¦ 2.6K Β· ⏱️ 20.01.2025): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 36M / month Β· πŸ“¦ 2.6K Β· ⏱️ 20.01.2025): ``` pip install imageio ``` @@ -2039,14 +2027,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageio ```
+
deepface (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ“‰) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT + +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 2.8K Β· πŸ“¦ 8.4K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 21.10.2025): + + ``` + git clone https://github.com/serengil/deepface + ``` +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 280K / month Β· πŸ“¦ 78 Β· ⏱️ 05.08.2025): + ``` + pip install deepface + ``` +
InsightFace (πŸ₯ˆ37 Β· ⭐ 27K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 5.7K Β· πŸ“₯ 10M Β· πŸ“¦ 4.8K Β· πŸ“‹ 2.6K - 46% open Β· ⏱️ 27.09.2025): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 5.7K Β· πŸ“₯ 11M Β· πŸ“¦ 4.8K Β· πŸ“‹ 2.6K - 46% open Β· ⏱️ 27.09.2025): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 380K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 350K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): ``` pip install insightface ``` @@ -2058,7 +2058,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 4.7M / month Β· πŸ“¦ 730 Β· ⏱️ 27.05.2025): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 4.6M / month Β· πŸ“¦ 730 Β· ⏱️ 27.05.2025): ``` pip install albumentations ``` @@ -2067,48 +2067,48 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge albumentations ```
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opencv-python (πŸ₯ˆ35 Β· ⭐ 5.1K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
opencv-python (πŸ₯ˆ36 Β· ⭐ 5.1K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 950 Β· πŸ“¦ 610K Β· πŸ“‹ 890 - 19% open Β· ⏱️ 30.07.2025): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 28M / month Β· πŸ“¦ 15K Β· ⏱️ 07.07.2025): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 29M / month Β· πŸ“¦ 15K Β· ⏱️ 07.07.2025): ``` pip install opencv-python ```
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Wand (πŸ₯ˆ34 Β· ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. MIT +
detectron2 (πŸ₯ˆ34 Β· ⭐ 34K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 21K Β· πŸ“‹ 440 - 5% open Β· ⏱️ 06.10.2025): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.6K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 27.10.2025): ``` - git clone https://github.com/emcconville/wand + git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 2.1M / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 13 Β· ⏱️ 06.02.2020): ``` - pip install wand + pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 170K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 820K Β· ⏱️ 02.06.2025): ``` - conda install -c conda-forge wand + conda install -c conda-forge detectron2 ```
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detectron2 (πŸ₯ˆ33 Β· ⭐ 34K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 +
Wand (πŸ₯ˆ34 Β· ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.6K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 27.08.2025): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 21K Β· πŸ“‹ 440 - 5% open Β· ⏱️ 06.10.2025): ``` - git clone https://github.com/facebookresearch/detectron2 + git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 13 Β· ⏱️ 06.02.2020): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 2.2M / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): ``` - pip install detectron2 + pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 820K Β· ⏱️ 02.06.2025): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge detectron2 + conda install -c conda-forge wand ```
ImageHash (πŸ₯ˆ32 Β· ⭐ 3.7K) - A Python Perceptual Image Hashing Module. BSD-2 @@ -2118,7 +2118,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 5.4M / month Β· πŸ“¦ 270 Β· ⏱️ 01.02.2025): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 5.6M / month Β· πŸ“¦ 270 Β· ⏱️ 01.02.2025): ``` pip install ImageHash ``` @@ -2129,12 +2129,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vit-pytorch (πŸ₯ˆ31 Β· ⭐ 24K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 3.4K Β· πŸ“¦ 21 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 13.10.2025): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 3.4K Β· πŸ“¦ 21 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 31K / month Β· πŸ“¦ 28 Β· ⏱️ 13.10.2025): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 31K / month Β· πŸ“¦ 28 Β· ⏱️ 27.10.2025): ``` pip install vit-pytorch ``` @@ -2146,14 +2146,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 4.7K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 3.8K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
sahi (πŸ₯ˆ31 Β· ⭐ 4.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 700 Β· πŸ“₯ 43K Β· πŸ“¦ 1.9K Β· ⏱️ 19.10.2025): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 700 Β· πŸ“₯ 43K Β· πŸ“¦ 1.9K Β· ⏱️ 28.10.2025): ``` git clone https://github.com/obss/sahi @@ -2174,19 +2174,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 200K / month Β· πŸ“¦ 20 Β· ⏱️ 22.07.2025): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 190K / month Β· πŸ“¦ 20 Β· ⏱️ 22.07.2025): ``` pip install lightly ```
doctr (πŸ₯ˆ29 Β· ⭐ 5.6K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 580 Β· πŸ“₯ 6.4M Β· πŸ“‹ 440 - 6% open Β· ⏱️ 07.09.2025): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 580 Β· πŸ“₯ 6.5M Β· πŸ“‹ 440 - 6% open Β· ⏱️ 07.09.2025): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 1.8M / month Β· πŸ“¦ 18 Β· ⏱️ 09.07.2025): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 2M / month Β· πŸ“¦ 18 Β· ⏱️ 09.07.2025): ``` pip install python-doctr ``` @@ -2198,65 +2198,77 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 3.2K / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): ``` pip install paddledet ```
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mahotas (πŸ₯‰28 Β· ⭐ 880) - Computer Vision in Python. MIT +
mtcnn (πŸ₯‰27 Β· ⭐ 2.4K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.6K Β· πŸ“‹ 92 - 21% open Β· ⏱️ 05.08.2025): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 530 Β· πŸ“₯ 76 Β· πŸ“¦ 9.2K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): ``` - git clone https://github.com/luispedro/mahotas + git clone https://github.com/ipazc/mtcnn ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 50K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): +- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 210K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2024): ``` - pip install mahotas + pip install mtcnn ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 780K Β· ⏱️ 21.10.2025): +- [Conda](https://anaconda.org/conda-forge/mtcnn) (πŸ“₯ 16K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge mahotas + conda install -c conda-forge mtcnn ```
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Image Deduplicator (πŸ₯‰27 Β· ⭐ 5.5K) - Finding duplicate images made easy!. Apache-2 +
CellProfiler (πŸ₯‰27 Β· ⭐ 1.1K) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 460 Β· πŸ“₯ 29 Β· πŸ“¦ 200 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 15.08.2025): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“₯ 24K Β· πŸ“¦ 28 Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 24.09.2025): ``` - git clone https://github.com/idealo/imagededup + git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 67K / month Β· πŸ“¦ 29 Β· ⏱️ 15.08.2025): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): ``` - pip install imagededup + pip install cellprofiler ```
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mtcnn (πŸ₯‰27 Β· ⭐ 2.4K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +
mahotas (πŸ₯‰27 Β· ⭐ 880) - Computer Vision in Python. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 530 Β· πŸ“₯ 74 Β· πŸ“¦ 9.2K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.6K Β· πŸ“‹ 92 - 21% open Β· ⏱️ 05.08.2025): ``` - git clone https://github.com/ipazc/mtcnn + git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 210K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 42K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): ``` - pip install mtcnn + pip install mahotas ``` -- [Conda](https://anaconda.org/conda-forge/mtcnn) (πŸ“₯ 16K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 790K Β· ⏱️ 21.10.2025): ``` - conda install -c conda-forge mtcnn + conda install -c conda-forge mahotas ```
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CellProfiler (πŸ₯‰27 Β· ⭐ 1.1K) - An open-source application for biological image analysis. BSD-3 +
Image Deduplicator (πŸ₯‰26 Β· ⭐ 5.5K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“₯ 23K Β· πŸ“¦ 28 Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 24.09.2025): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 460 Β· πŸ“₯ 29 Β· πŸ“¦ 200 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 15.08.2025): ``` - git clone https://github.com/CellProfiler/CellProfiler + git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 69K / month Β· πŸ“¦ 29 Β· ⏱️ 15.08.2025): ``` - pip install cellprofiler + pip install imagededup + ``` +
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tensorflow-graphics (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 + +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 370 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 03.02.2025): + + ``` + git clone https://github.com/tensorflow/graphics + ``` +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 61K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): + ``` + pip install tensorflow-graphics ```
Norfair (πŸ₯‰26 Β· ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 @@ -2266,19 +2278,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 43K / month Β· πŸ“¦ 9 Β· ⏱️ 30.04.2025): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 44K / month Β· πŸ“¦ 9 Β· ⏱️ 30.04.2025): ``` pip install norfair ```
pyvips (πŸ₯‰26 Β· ⭐ 740) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 52 Β· πŸ“¦ 1.2K Β· πŸ“‹ 660 - 29% open Β· ⏱️ 04.09.2025): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 53 Β· πŸ“¦ 1.2K Β· πŸ“‹ 670 - 29% open Β· ⏱️ 04.09.2025): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 180K / month Β· πŸ“¦ 94 Β· ⏱️ 28.04.2025): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 190K / month Β· πŸ“¦ 94 Β· ⏱️ 28.04.2025): ``` pip install pyvips ``` @@ -2287,9 +2299,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pyvips ```
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pytorchvideo (πŸ₯‰25 Β· ⭐ 3.5K Β· πŸ’€) - A deep learning library for video understanding.. Apache-2 +
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.5K) - A deep learning library for video understanding research. Apache-2 -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 420 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 25.01.2025): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 420 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/facebookresearch/pytorchvideo @@ -2299,18 +2311,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install pytorchvideo ```
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tensorflow-graphics (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 370 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 03.02.2025): - - ``` - git clone https://github.com/tensorflow/graphics - ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 57K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): - ``` - pip install tensorflow-graphics - ``` -
MMF (πŸ₯‰24 Β· ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“¦ 23 Β· πŸ“‹ 690 - 21% open Β· ⏱️ 24.04.2025): @@ -2318,19 +2318,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 330 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 190 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
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kubric (πŸ₯‰23 Β· ⭐ 2.6K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
kubric (πŸ₯‰22 Β· ⭐ 2.6K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 250 Β· πŸ“¦ 7 Β· πŸ“‹ 200 - 35% open Β· ⏱️ 06.05.2025): ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 8.8K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 6.6K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ``` @@ -2342,19 +2342,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 3.4K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 2.3K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ```
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PySlowFast (πŸ₯‰21 Β· ⭐ 7.1K Β· πŸ’€) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
PySlowFast (πŸ₯‰21 Β· ⭐ 7.2K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.2K Β· πŸ“¦ 23 Β· πŸ“‹ 720 - 59% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 1.2K Β· πŸ“¦ 23 Β· πŸ“‹ 720 - 59% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 42 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 22 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2366,7 +2366,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/idealo/image-super-resolution ``` -- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 4.9K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): +- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 3.9K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): ``` pip install ISR ``` @@ -2375,14 +2375,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well docker pull idealo/image-super-resolution-gpu ```
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Caer (πŸ₯‰21 Β· ⭐ 810) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT +
Caer (πŸ₯‰21 Β· ⭐ 800) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 110 Β· πŸ“₯ 48 Β· ⏱️ 11.08.2025): ``` git clone https://github.com/jasmcaus/caer ``` -- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 4.8K / month Β· πŸ“¦ 3 Β· ⏱️ 11.08.2025): +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 11.08.2025): ``` pip install caer ``` @@ -2397,13 +2397,13 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 30 hidden projects... -- scikit-image (πŸ₯‡40 Β· ⭐ 6.4K) - Image processing in Python. ❗Unlicensed +- scikit-image (πŸ₯‡41 Β· ⭐ 6.4K Β· πŸ“ˆ) - Image processing in Python. ❗Unlicensed - glfw (πŸ₯ˆ38 Β· ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - MMDetection (πŸ₯ˆ37 Β· ⭐ 32K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - imgaug (πŸ₯ˆ36 Β· ⭐ 15K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - Face Recognition (πŸ₯ˆ35 Β· ⭐ 56K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- PyTorch3D (πŸ₯ˆ31 Β· ⭐ 9.6K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- PyTorch3D (πŸ₯ˆ30 Β· ⭐ 9.6K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imageai (πŸ₯ˆ30 Β· ⭐ 8.8K Β· πŸ’€) - A python library built to empower developers to build applications.. MIT - Face Alignment (πŸ₯‰28 Β· ⭐ 7.4K Β· πŸ’€) - 2D and 3D Face alignment library build using pytorch. BSD-3 - GluonCV (πŸ₯‰27 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 @@ -2412,13 +2412,13 @@ _Libraries for image & video processing, manipulation, and augmentation as well - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - facenet-pytorch (πŸ₯‰26 Β· ⭐ 5K Β· πŸ’€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- layout-parser (πŸ₯‰24 Β· ⭐ 5.5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- layout-parser (πŸ₯‰24 Β· ⭐ 5.6K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - segmentation_models (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- vissl (πŸ₯‰23 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - ffcv (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +- Classy Vision (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - deep-daze (πŸ₯‰22 Β· ⭐ 4.3K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT +- vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 -- Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - detecto (πŸ₯‰21 Β· ⭐ 620 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 15K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 - image-match (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - Quickly search over billions of images. Apache-2 @@ -2438,7 +2438,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡46 Β· ⭐ 16K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 790 Β· πŸ”€ 3.4K Β· πŸ“₯ 110 Β· πŸ“¦ 430K Β· πŸ“‹ 3.5K - 11% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 790 Β· πŸ”€ 3.4K Β· πŸ“₯ 110 Β· πŸ“¦ 430K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/networkx/networkx @@ -2447,19 +2447,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 25M Β· ⏱️ 04.06.2025): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 26M Β· ⏱️ 04.06.2025): ``` conda install -c conda-forge networkx ```
PyTorch Geometric (πŸ₯‡41 Β· ⭐ 23K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 3.9K Β· πŸ“¦ 11K Β· πŸ“‹ 4K - 30% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 3.9K Β· πŸ“¦ 11K Β· πŸ“‹ 4K - 30% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 920K / month Β· πŸ“¦ 730 Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 940K / month Β· πŸ“¦ 730 Β· ⏱️ 15.10.2025): ``` pip install torch-geometric ``` @@ -2468,26 +2468,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_geometric ```
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dgl (πŸ₯‡35 Β· ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
dgl (πŸ₯‡36 Β· ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 - [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 4.1K Β· πŸ“‹ 3K - 20% open Β· ⏱️ 31.07.2025): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 180K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 150K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): ``` pip install dgl ```
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pygraphistry (πŸ₯ˆ29 Β· ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
pygraphistry (πŸ₯ˆ29 Β· ⭐ 2.4K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 220 Β· πŸ“‹ 420 - 51% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 220 Β· πŸ“‹ 420 - 51% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 9.7K / month Β· πŸ“¦ 9 Β· ⏱️ 21.10.2025): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 8.5K / month Β· πŸ“¦ 9 Β· ⏱️ 21.10.2025): ``` pip install graphistry ``` @@ -2499,7 +2499,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 110K / month Β· πŸ“¦ 73 Β· ⏱️ 07.04.2023): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 100K / month Β· πŸ“¦ 73 Β· ⏱️ 07.04.2023): ``` pip install ogb ``` @@ -2515,19 +2515,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 34K / month Β· πŸ“¦ 28 Β· ⏱️ 24.04.2025): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 31K / month Β· πŸ“¦ 28 Β· ⏱️ 24.04.2025): ``` pip install pykeen ```
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pytorch_geometric_temporal (πŸ₯ˆ27 Β· ⭐ 2.9K Β· πŸ“‰) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
pytorch_geometric_temporal (πŸ₯ˆ27 Β· ⭐ 2.9K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT - [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 400 Β· πŸ“‹ 210 - 18% open Β· ⏱️ 18.09.2025): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 7.6K / month Β· πŸ“¦ 12 Β· ⏱️ 16.07.2025): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 6.7K / month Β· πŸ“¦ 12 Β· ⏱️ 16.07.2025): ``` pip install torch-geometric-temporal ``` @@ -2539,11 +2539,11 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 40K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 34K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 430K Β· ⏱️ 22.09.2025): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 440K Β· ⏱️ 22.09.2025): ``` conda install -c conda-forge pytorch_cluster ``` @@ -2561,13 +2561,13 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - graph-nets (πŸ₯‰22 Β· ⭐ 5.4K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 3.4K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 - graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- jraph (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- deepsnap (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Python library assists deep learning on graphs. MIT +- jraph (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (πŸ₯‰20 Β· ⭐ 2K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 +- deepsnap (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python library assists deep learning on graphs. MIT - pyRDF2Vec (πŸ₯‰20 Β· ⭐ 260 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT -- Sematch (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - GraphGym (πŸ₯‰17 Β· ⭐ 1.8K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT +- Sematch (πŸ₯‰17 Β· ⭐ 440 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - DeepGraph (πŸ₯‰17 Β· ⭐ 320) - Analyze Data with Pandas-based Networks. Documentation:. ❗Unlicensed - AutoGL (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - kglib (πŸ₯‰16 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 @@ -2587,50 +2587,50 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
espnet (πŸ₯‡38 Β· ⭐ 9.5K) - End-to-End Speech Processing Toolkit. Apache-2 +
speechbrain (πŸ₯‡38 Β· ⭐ 11K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.3K Β· πŸ“₯ 84 Β· πŸ“¦ 480 Β· πŸ“‹ 2.5K - 3% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.5K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 30.10.2025): ``` - git clone https://github.com/espnet/espnet + git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 26K / month Β· πŸ“¦ 19 Β· ⏱️ 13.09.2025): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 1.1M / month Β· πŸ“¦ 79 Β· ⏱️ 07.04.2025): ``` - pip install espnet + pip install speechbrain ```
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speechbrain (πŸ₯‡37 Β· ⭐ 11K) - A PyTorch-based Speech Toolkit. Apache-2 +
espnet (πŸ₯‡38 Β· ⭐ 9.5K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.5K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 09.10.2025): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.3K Β· πŸ“₯ 84 Β· πŸ“¦ 480 Β· πŸ“‹ 2.5K - 3% open Β· ⏱️ 30.10.2025): ``` - git clone https://github.com/speechbrain/speechbrain + git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 1.2M / month Β· πŸ“¦ 79 Β· ⏱️ 07.04.2025): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 24K / month Β· πŸ“¦ 19 Β· ⏱️ 13.09.2025): ``` - pip install speechbrain + pip install espnet ```
torchaudio (πŸ₯‡37 Β· ⭐ 2.8K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 730 Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 17.10.2025): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 730 Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 14M / month Β· πŸ“¦ 2.4K Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 15M / month Β· πŸ“¦ 2.4K Β· ⏱️ 15.10.2025): ``` pip install torchaudio ```
SpeechRecognition (πŸ₯ˆ34 Β· ⭐ 8.9K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 48% open Β· ⏱️ 14.09.2025): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 48% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 2.1M / month Β· πŸ“¦ 730 Β· ⏱️ 12.05.2025): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 2.2M / month Β· πŸ“¦ 730 Β· ⏱️ 12.05.2025): ``` pip install SpeechRecognition ``` @@ -2655,6 +2655,38 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
+
DeepSpeech (πŸ₯ˆ33 Β· ⭐ 27K Β· πŸ“ˆ) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.1K Β· πŸ“₯ 660K Β· πŸ“¦ 540 Β· πŸ“‹ 2.1K - 7% open Β· ⏱️ 19.06.2025): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 5.5K / month Β· πŸ“¦ 24 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 4.2K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge deepspeech + ``` +
+
audioread (πŸ₯ˆ33 Β· ⭐ 520 Β· πŸ“ˆ) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT + +- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 110 Β· πŸ“¦ 35K Β· πŸ“‹ 98 - 40% open Β· ⏱️ 26.10.2025): + + ``` + git clone https://github.com/beetbox/audioread + ``` +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 4.8M / month Β· πŸ“¦ 180 Β· ⏱️ 26.10.2025): + ``` + pip install audioread + ``` +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 1.2M Β· ⏱️ 02.10.2025): + ``` + conda install -c conda-forge audioread + ``` +
spleeter (πŸ₯ˆ32 Β· ⭐ 27K) - Deezer source separation library including pretrained models. MIT - [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 3K Β· πŸ“₯ 4.4M Β· πŸ“¦ 1.1K Β· πŸ“‹ 830 - 32% open Β· ⏱️ 02.04.2025): @@ -2690,75 +2722,47 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/idiap/coqui-ai-TTS ``` -- [PyPi](https://pypi.org/project/coqui-tts) (πŸ“₯ 90K / month Β· πŸ“¦ 34 Β· ⏱️ 25.09.2025): +- [PyPi](https://pypi.org/project/coqui-tts) (πŸ“₯ 94K / month Β· πŸ“¦ 34 Β· ⏱️ 25.09.2025): ``` pip install coqui-tts ```
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Magenta (πŸ₯ˆ31 Β· ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - -- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 600 Β· πŸ“‹ 1K - 41% open Β· ⏱️ 08.07.2025): - - ``` - git clone https://github.com/magenta/magenta - ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 5.7K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): - ``` - pip install magenta - ``` -
-
audioread (πŸ₯ˆ31 Β· ⭐ 520) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT +
Magenta (πŸ₯ˆ31 Β· ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“¦ 35K Β· πŸ“‹ 99 - 42% open Β· ⏱️ 12.10.2025): +- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 600 Β· πŸ“‹ 1K - 41% open Β· ⏱️ 08.07.2025): ``` - git clone https://github.com/beetbox/audioread - ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 4.7M / month Β· πŸ“¦ 180 Β· ⏱️ 12.10.2025): - ``` - pip install audioread + git clone https://github.com/magenta/magenta ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 1.2M Β· ⏱️ 02.10.2025): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 4.8K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` - conda install -c conda-forge audioread + pip install magenta ```
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Porcupine (πŸ₯ˆ29 Β· ⭐ 4.4K) - On-device wake word detection powered by deep learning. Apache-2 +
Porcupine (πŸ₯‰29 Β· ⭐ 4.5K) - On-device wake word detection powered by deep learning. Apache-2 - [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 550 Β· πŸ“¦ 51 Β· πŸ“‹ 600 - 0% open Β· ⏱️ 17.10.2025): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 27K / month Β· πŸ“¦ 38 Β· ⏱️ 05.02.2025): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 25K / month Β· πŸ“¦ 38 Β· ⏱️ 05.02.2025): ``` pip install pvporcupine ```
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 6.2K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 670 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 04.08.2025): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 670 Β· πŸ“‹ 330 - 62% open Β· ⏱️ 04.08.2025): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 24K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
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tinytag (πŸ₯‰28 Β· ⭐ 780) - Python library for reading audio file metadata. MIT - -- [GitHub](https://github.com/tinytag/tinytag) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 1.3K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 13.08.2025): - - ``` - git clone https://github.com/devsnd/tinytag - ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 110K / month Β· πŸ“¦ 130 Β· ⏱️ 13.08.2025): - ``` - pip install tinytag - ``` -
python-soundfile (πŸ₯‰27 Β· ⭐ 800) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 120 Β· πŸ“₯ 21K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 28.04.2025): @@ -2766,7 +2770,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 9.2M / month Β· πŸ“¦ 1.1K Β· ⏱️ 25.01.2025): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 9.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 25.01.2025): ``` pip install soundfile ``` @@ -2775,44 +2779,40 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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nnAudio (πŸ₯‰23 Β· ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT +
tinytag (πŸ₯‰27 Β· ⭐ 780) - Python library for reading audio file metadata. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 96 Β· πŸ“¦ 410 Β· πŸ“‹ 65 - 30% open Β· ⏱️ 16.05.2025): +- [GitHub](https://github.com/tinytag/tinytag) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 1.3K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 13.08.2025): ``` - git clone https://github.com/KinWaiCheuk/nnAudio + git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 67K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 120K / month Β· πŸ“¦ 130 Β· ⏱️ 13.08.2025): ``` - pip install nnAudio + pip install tinytag ```
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kapre (πŸ₯‰23 Β· ⭐ 930) - kapre: Keras Audio Preprocessors. MIT +
kapre (πŸ₯‰25 Β· ⭐ 930 Β· πŸ“ˆ) - kapre: Keras Audio Preprocessors. MIT -- [GitHub](https://github.com/keunwoochoi/kapre) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 150 Β· πŸ“₯ 33 Β· πŸ“¦ 2.5K Β· πŸ“‹ 99 - 17% open Β· ⏱️ 13.10.2025): +- [GitHub](https://github.com/keunwoochoi/kapre) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 150 Β· πŸ“₯ 33 Β· πŸ“¦ 2.5K Β· πŸ“‹ 99 - 17% open Β· ⏱️ 26.10.2025): ``` git clone https://github.com/keunwoochoi/kapre ``` -- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 5.6K / month Β· πŸ“¦ 9 Β· ⏱️ 21.01.2022): +- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 3.2K / month Β· πŸ“¦ 11 Β· ⏱️ 26.10.2025): ``` pip install kapre ```
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DeepSpeech (πŸ₯‰21 Β· ⭐ 27K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 +
nnAudio (πŸ₯‰22 Β· ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.1K): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 96 Β· πŸ“¦ 410 Β· πŸ“‹ 65 - 30% open Β· ⏱️ 16.05.2025): ``` - git clone https://github.com/mozilla/DeepSpeech - ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 7K / month Β· πŸ“¦ 24 Β· ⏱️ 19.12.2020): - ``` - pip install deepspeech + git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 4.1K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 59K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` - conda install -c conda-forge deepspeech + pip install nnAudio ```
Julius (πŸ₯‰21 Β· ⭐ 450 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT @@ -2822,7 +2822,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 850K / month Β· πŸ“¦ 44 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 840K / month Β· πŸ“¦ 44 Β· ⏱️ 20.09.2022): ``` pip install julius ``` @@ -2831,7 +2831,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - Pydub (πŸ₯ˆ36 Β· ⭐ 9.6K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - aubio (πŸ₯‰27 Β· ⭐ 3.5K) - a library for audio and music analysis. ❗️GPL-3.0 -- Essentia (πŸ₯‰27 Β· ⭐ 3.2K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- Essentia (πŸ₯‰27 Β· ⭐ 3.3K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - TTS (πŸ₯‰26 Β· ⭐ 10K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT @@ -2851,32 +2851,32 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡43 Β· ⭐ 14K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.2K Β· πŸ“¦ 9.2K Β· πŸ“‹ 3.3K - 13% open Β· ⏱️ 17.10.2025): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.2K Β· πŸ“¦ 9.2K Β· πŸ“‹ 3.3K - 13% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 15M / month Β· πŸ“¦ 160 Β· ⏱️ 21.03.2025): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 16M / month Β· πŸ“¦ 160 Β· ⏱️ 21.03.2025): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 840K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 850K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 700K / month Β· πŸ“¦ 360 Β· ⏱️ 16.10.2025): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 750K / month Β· πŸ“¦ 360 Β· ⏱️ 16.10.2025): ``` npm install deck.gl ```
folium (πŸ₯‡40 Β· ⭐ 7.3K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 64K Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 06.10.2025): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 65K Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 06.10.2025): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1K Β· ⏱️ 16.06.2025): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1K Β· ⏱️ 16.06.2025): ``` pip install folium ``` @@ -2887,23 +2887,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (πŸ₯‡40 Β· ⭐ 4.3K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 600 Β· πŸ“₯ 4K Β· πŸ“¦ 110K Β· πŸ“‹ 1.3K - 18% open Β· ⏱️ 17.10.2025): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 600 Β· πŸ“₯ 4K Β· πŸ“¦ 110K Β· πŸ“‹ 1.3K - 18% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 61M / month Β· πŸ“¦ 4.7K Β· ⏱️ 24.09.2025): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 62M / month Β· πŸ“¦ 4.7K Β· ⏱️ 24.09.2025): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 14M Β· ⏱️ 24.09.2025): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 14M Β· ⏱️ 28.10.2025): ``` conda install -c conda-forge shapely ```
GeoPandas (πŸ₯ˆ39 Β· ⭐ 4.9K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 980 Β· πŸ“₯ 3.1K Β· πŸ“¦ 60K Β· πŸ“‹ 1.8K - 24% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 980 Β· πŸ“₯ 3.1K Β· πŸ“¦ 60K Β· πŸ“‹ 1.8K - 24% open Β· ⏱️ 25.10.2025): ``` git clone https://github.com/geopandas/geopandas @@ -2912,7 +2912,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 5.3M Β· ⏱️ 06.10.2025): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 5.4M Β· ⏱️ 06.10.2025): ``` conda install -c conda-forge geopandas ``` @@ -2924,7 +2924,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): ``` pip install rasterio ``` @@ -2935,7 +2935,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (πŸ₯ˆ37 Β· ⭐ 1.2K) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 230 Β· πŸ“¦ 47K Β· πŸ“‹ 660 - 6% open Β· ⏱️ 02.10.2025): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 230 Β· πŸ“¦ 47K Β· πŸ“‹ 660 - 6% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/pyproj4/pyproj @@ -2951,12 +2951,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (πŸ₯ˆ36 Β· ⭐ 2.1K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.1K Β· πŸ“₯ 16K Β· πŸ“¦ 1K Β· πŸ“‹ 920 - 8% open Β· ⏱️ 13.10.2025): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.1K Β· πŸ“₯ 16K Β· πŸ“¦ 1K Β· πŸ“‹ 920 - 8% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 150K / month Β· πŸ“¦ 42 Β· ⏱️ 12.08.2025): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 150K / month Β· πŸ“¦ 44 Β· ⏱️ 27.10.2025): ``` pip install arcgis ``` @@ -2972,11 +2972,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.7M / month Β· πŸ“¦ 380 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.6M / month Β· πŸ“¦ 380 Β· ⏱️ 16.09.2024): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 7.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 7.9M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge fiona ``` @@ -2992,11 +2992,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.7M Β· ⏱️ 13.06.2025): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.8M Β· ⏱️ 13.06.2025): ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 2.6K / month Β· πŸ“¦ 9 Β· ⏱️ 13.06.2025): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 2.7K / month Β· πŸ“¦ 9 Β· ⏱️ 13.06.2025): ``` npm install jupyter-leaflet ``` @@ -3008,7 +3008,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 3.5M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 3.6M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): ``` pip install geojson ``` @@ -3024,23 +3024,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 46K / month Β· πŸ“¦ 65 Β· ⏱️ 31.07.2025): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 42K / month Β· πŸ“¦ 65 Β· ⏱️ 31.07.2025): ``` pip install pysal ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 720K Β· ⏱️ 01.08.2025): +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 730K Β· ⏱️ 01.08.2025): ``` conda install -c conda-forge pysal ```
GeoViews (πŸ₯‰28 Β· ⭐ 620) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 79 Β· πŸ“¦ 5 Β· πŸ“‹ 360 - 31% open Β· ⏱️ 20.10.2025): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 79 Β· πŸ“¦ 5 Β· πŸ“‹ 360 - 31% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 72K / month Β· πŸ“¦ 76 Β· ⏱️ 14.08.2025): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 69K / month Β· πŸ“¦ 76 Β· ⏱️ 14.08.2025): ``` pip install geoviews ``` @@ -3049,14 +3049,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geoviews ```
-
EarthPy (πŸ₯‰27 Β· ⭐ 530) - A package built to support working with spatial data using open source.. BSD-3 +
EarthPy (πŸ₯‰28 Β· ⭐ 530) - A package built to support working with spatial data using open source.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“₯ 75 Β· πŸ“¦ 440 Β· πŸ“‹ 250 - 16% open Β· ⏱️ 31.07.2025): ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 19K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 14K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3067,7 +3067,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pymap3d (πŸ₯‰25 Β· ⭐ 430) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 87 Β· πŸ“¦ 530 Β· πŸ“‹ 59 - 8% open Β· ⏱️ 08.07.2025): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 87 Β· πŸ“¦ 540 Β· πŸ“‹ 59 - 8% open Β· ⏱️ 08.07.2025): ``` git clone https://github.com/geospace-code/pymap3d @@ -3088,7 +3088,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/mapbox/mapboxgl-jupyter ``` -- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 11K / month Β· πŸ“¦ 12 Β· ⏱️ 02.06.2019): +- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 10K / month Β· πŸ“¦ 12 Β· ⏱️ 02.06.2019): ``` pip install mapboxgl ``` @@ -3098,8 +3098,8 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - Satpy (πŸ₯ˆ34 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - geopy (πŸ₯‰32 Β· ⭐ 4.7K Β· πŸ’€) - Geocoding library for Python. MIT - Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Sentinelsat (πŸ₯‰26 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - prettymaps (πŸ₯‰24 Β· ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 +- Sentinelsat (πŸ₯‰24 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰22 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3118,7 +3118,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 5.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 17.09.2025): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 5.9M / month Β· πŸ“¦ 1.2K Β· ⏱️ 17.09.2025): ``` pip install yfinance ``` @@ -3134,19 +3134,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 17K / month Β· πŸ“¦ 3 Β· ⏱️ 15.08.2025): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 16K / month Β· πŸ“¦ 3 Β· ⏱️ 15.08.2025): ``` pip install pyqlib ```
bt (πŸ₯ˆ30 Β· ⭐ 2.7K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 450 Β· πŸ“¦ 1.7K Β· πŸ“‹ 350 - 23% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 450 Β· πŸ“¦ 1.7K Β· πŸ“‹ 350 - 23% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 13K / month Β· πŸ“¦ 15 Β· ⏱️ 12.04.2025): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 11K / month Β· πŸ“¦ 15 Β· ⏱️ 12.04.2025): ``` pip install bt ``` @@ -3155,36 +3155,36 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge bt ```
-
ffn (πŸ₯ˆ27 Β· ⭐ 2.4K) - ffn - a financial function library for Python. MIT +
Alpha Vantage (πŸ₯ˆ27 Β· ⭐ 4.6K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“¦ 580 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 02.10.2025): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 760 Β· πŸ“‹ 290 - 0% open Β· ⏱️ 27.07.2025): ``` - git clone https://github.com/pmorissette/ffn + git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 27K / month Β· πŸ“¦ 22 Β· ⏱️ 11.02.2025): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 140K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): ``` - pip install ffn + pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 25K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 10K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge ffn + conda install -c conda-forge alpha_vantage ```
-
Alpha Vantage (πŸ₯‰26 Β· ⭐ 4.6K) - A python wrapper for Alpha Vantage API for financial data. MIT +
ffn (πŸ₯ˆ27 Β· ⭐ 2.4K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 760 Β· πŸ“‹ 290 - 0% open Β· ⏱️ 27.07.2025): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“¦ 580 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 27.10.2025): ``` - git clone https://github.com/RomelTorres/alpha_vantage + git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 140K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 25K / month Β· πŸ“¦ 22 Β· ⏱️ 11.02.2025): ``` - pip install alpha_vantage + pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 10K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 26K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge alpha_vantage + conda install -c conda-forge ffn ```
stockstats (πŸ₯‰26 Β· ⭐ 1.4K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 @@ -3194,7 +3194,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 49K / month Β· πŸ“¦ 14 Β· ⏱️ 18.05.2025): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 51K / month Β· πŸ“¦ 14 Β· ⏱️ 18.05.2025): ``` pip install stockstats ``` @@ -3206,7 +3206,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 560 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 410 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3225,7 +3225,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 17 hidden projects... -- arch (πŸ₯‡33 Β· ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed +- arch (πŸ₯‡33 Β· ⭐ 1.5K) - ARCH models in Python. ❗Unlicensed - zipline (πŸ₯‡32 Β· ⭐ 19K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - ta (πŸ₯‡32 Β· ⭐ 4.8K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - pyfolio (πŸ₯ˆ31 Β· ⭐ 6.1K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 @@ -3234,12 +3234,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - Alphalens (πŸ₯ˆ27 Β· ⭐ 4K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - Enigma Catalyst (πŸ₯ˆ27 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - empyrical (πŸ₯ˆ27 Β· ⭐ 1.4K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 -- Backtesting.py (πŸ₯‰26 Β· ⭐ 7.3K) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- Backtesting.py (πŸ₯‰26 Β· ⭐ 7.4K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - TensorTrade (πŸ₯‰26 Β· ⭐ 5.6K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - PyAlgoTrade (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- FinQuant (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - Crypto Signals (πŸ₯‰22 Β· ⭐ 5.4K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT +- FinQuant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - surpriver (πŸ₯‰12 Β· ⭐ 1.8K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰9 Β· ⭐ 150 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -3253,7 +3253,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡41 Β· ⭐ 9.3K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.7K Β· πŸ“₯ 110 Β· πŸ“¦ 4.7K Β· πŸ“‹ 3.1K - 39% open Β· ⏱️ 19.10.2025): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.7K Β· πŸ“₯ 110 Β· πŸ“¦ 4.7K Β· πŸ“‹ 3.1K - 39% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/alan-turing-institute/sktime @@ -3274,7 +3274,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 98K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 84K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3283,25 +3283,25 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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StatsForecast (πŸ₯‡33 Β· ⭐ 4.5K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
StatsForecast (πŸ₯‡34 Β· ⭐ 4.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 330 Β· πŸ“¦ 2K Β· πŸ“‹ 380 - 32% open Β· ⏱️ 08.10.2025): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 340 Β· πŸ“¦ 2K Β· πŸ“‹ 400 - 34% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 1M / month Β· πŸ“¦ 80 Β· ⏱️ 05.07.2025): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 990K / month Β· πŸ“¦ 91 Β· ⏱️ 29.10.2025): ``` pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 220K Β· ⏱️ 13.10.2025): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 220K Β· ⏱️ 30.10.2025): ``` conda install -c conda-forge statsforecast ```
-
tslearn (πŸ₯‡33 Β· ⭐ 3K) - The machine learning toolkit for time series analysis in Python. BSD-2 +
tslearn (πŸ₯ˆ33 Β· ⭐ 3.1K) - The machine learning toolkit for time series analysis in Python. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 350 Β· πŸ“¦ 1.9K Β· πŸ“‹ 380 - 38% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 350 Β· πŸ“¦ 1.9K Β· πŸ“‹ 380 - 38% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/tslearn-team/tslearn @@ -3315,30 +3315,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tslearn ```
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skforecast (πŸ₯‡33 Β· ⭐ 1.4K) - Time series forecasting with machine learning models. BSD-3 +
skforecast (πŸ₯ˆ33 Β· ⭐ 1.4K) - Time series forecasting with machine learning models. BSD-3 - [GitHub](https://github.com/skforecast/skforecast) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“¦ 490 Β· πŸ“‹ 210 - 8% open Β· ⏱️ 22.09.2025): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 93K / month Β· πŸ“¦ 18 Β· ⏱️ 22.09.2025): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 96K / month Β· πŸ“¦ 18 Β· ⏱️ 22.09.2025): ``` pip install skforecast ```
Darts (πŸ₯ˆ32 Β· ⭐ 9K) - A python library for user-friendly forecasting and anomaly detection on.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 10.10.2025): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 26.10.2025): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 84K / month Β· πŸ“¦ 10 Β· ⏱️ 03.10.2025): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 86K / month Β· πŸ“¦ 10 Β· ⏱️ 03.10.2025): ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 93K Β· ⏱️ 05.10.2025): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 94K Β· ⏱️ 05.10.2025): ``` conda install -c conda-forge u8darts-all ``` @@ -3370,7 +3370,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 6.9M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 7.5M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): ``` pip install pmdarima ``` @@ -3402,7 +3402,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 390K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 380K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): ``` pip install stumpy ``` @@ -3434,11 +3434,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 980K / month Β· πŸ“¦ 41 Β· ⏱️ 27.06.2025): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 1.9M / month Β· πŸ“¦ 41 Β· ⏱️ 27.06.2025): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 3.1K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 3.2K Β· ⏱️ 22.04.2025): ``` conda install -c anaconda gluonts ``` @@ -3450,7 +3450,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 30K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 26K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -3466,7 +3466,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 210K / month Β· πŸ“¦ 45 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 190K / month Β· πŸ“¦ 45 Β· ⏱️ 18.06.2023): ``` pip install pyts ``` @@ -3477,12 +3477,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
TSFEL (πŸ₯‰26 Β· ⭐ 1.1K) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 220 Β· πŸ“‹ 86 - 4% open Β· ⏱️ 20.08.2025): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 220 Β· πŸ“‹ 87 - 5% open Β· ⏱️ 20.08.2025): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 12K / month Β· πŸ“¦ 14 Β· ⏱️ 20.08.2025): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 9.4K / month Β· πŸ“¦ 14 Β· ⏱️ 20.08.2025): ``` pip install tsfel ``` @@ -3494,7 +3494,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 10K / month Β· ⏱️ 20.02.2025): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 11K / month Β· ⏱️ 20.02.2025): ``` pip install greykite ``` @@ -3506,8 +3506,8 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l - luminol (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - ADTK (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - seglearn (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- tick (πŸ₯‰21 Β· ⭐ 520 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - pydlm (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 +- tick (πŸ₯‰20 Β· ⭐ 520 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - tsflex (πŸ₯‰19 Β· ⭐ 430 Β· πŸ’€) - Flexible time series feature extraction & processing. MIT - Auto TS (πŸ₯‰17 Β· ⭐ 760 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 @@ -3525,12 +3525,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯‡38 Β· ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 610 Β· πŸ“₯ 410 Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 610 Β· πŸ“₯ 410 Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 200K / month Β· πŸ“¦ 350 Β· ⏱️ 03.09.2025): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 270K / month Β· πŸ“¦ 350 Β· ⏱️ 03.09.2025): ``` pip install nilearn ``` @@ -3539,14 +3539,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nilearn ```
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MONAI (πŸ₯‡37 Β· ⭐ 6.9K) - AI Toolkit for Healthcare Imaging. Apache-2 +
MONAI (πŸ₯‡37 Β· ⭐ 7K) - AI Toolkit for Healthcare Imaging. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.5K Β· πŸ“‹ 3.3K - 14% open Β· ⏱️ 10.10.2025): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 350K / month Β· πŸ“¦ 200 Β· ⏱️ 22.09.2025): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 320K / month Β· πŸ“¦ 200 Β· ⏱️ 22.09.2025): ``` pip install monai ``` @@ -3557,7 +3557,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡37 Β· ⭐ 3.1K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.4K Β· πŸ“‹ 5.1K - 11% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 1.4K Β· πŸ“‹ 5.1K - 11% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/mne-tools/mne-python @@ -3566,19 +3566,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 610K Β· ⏱️ 14.10.2025): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 620K Β· ⏱️ 14.10.2025): ``` conda install -c conda-forge mne ```
Hail (πŸ₯ˆ34 Β· ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 170 Β· πŸ“‹ 2.6K - 11% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 170 Β· πŸ“‹ 2.6K - 11% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 120K / month Β· πŸ“¦ 44 Β· ⏱️ 09.09.2025): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 110K / month Β· πŸ“¦ 44 Β· ⏱️ 09.09.2025): ``` pip install hail ``` @@ -3590,7 +3590,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 940K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 910K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): ``` pip install nibabel ``` @@ -3606,11 +3606,11 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 370K / month Β· πŸ“¦ 150 Β· ⏱️ 19.03.2025): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 360K / month Β· πŸ“¦ 150 Β· ⏱️ 19.03.2025): ``` pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 980K Β· ⏱️ 05.05.2025): +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 990K Β· ⏱️ 05.05.2025): ``` conda install -c conda-forge nipype ``` @@ -3622,7 +3622,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 1.6M / month Β· πŸ“¦ 160 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 1.5M / month Β· πŸ“¦ 160 Β· ⏱️ 29.10.2024): ``` pip install lifelines ``` @@ -3643,14 +3643,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c bioconda deepvariant ```
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Brainiak (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Brain Imaging Analysis Kit. Apache-2 +
Brainiak (πŸ₯‰19 Β· ⭐ 360 Β· πŸ’€) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 38% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 2.2K / month Β· ⏱️ 07.01.2025): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 1.3K / month Β· ⏱️ 07.01.2025): ``` pip install brainiak ``` @@ -3662,12 +3662,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... - DIPY (πŸ₯ˆ31 Β· ⭐ 790) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed -- NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 +- NiftyNet (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 +- NIPY (πŸ₯‰24 Β· ⭐ 400 Β· πŸ’€) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (πŸ₯‰23 Β· ⭐ 610 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 -- NIPY (πŸ₯‰23 Β· ⭐ 400 Β· πŸ’€) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed -- DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 +- DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (πŸ₯‰19 Β· ⭐ 290 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- MedicalTorch (πŸ₯‰16 Β· ⭐ 870 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 +- MedicalTorch (πŸ₯‰17 Β· ⭐ 870 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (πŸ₯‰14 Β· ⭐ 130 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 2.1K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT @@ -3682,12 +3682,12 @@ _Libraries for processing tabular and structured data._
skrub (πŸ₯‡30 Β· ⭐ 1.5K) - Machine learning with dataframes. BSD-3 -- [GitHub](https://github.com/skrub-data/skrub) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 100 Β· πŸ“‹ 570 - 22% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/skrub-data/skrub) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 170 Β· πŸ“¦ 100 Β· πŸ“‹ 580 - 21% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/skrub-data/skrub ``` -- [PyPi](https://pypi.org/project/skrub) (πŸ“₯ 47K / month Β· πŸ“¦ 20 Β· ⏱️ 25.09.2025): +- [PyPi](https://pypi.org/project/skrub) (πŸ“₯ 45K / month Β· πŸ“¦ 20 Β· ⏱️ 25.09.2025): ``` pip install skrub ``` @@ -3699,41 +3699,26 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 5.8K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 5.5K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): ``` pip install pytorch_tabular ```
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miceforest (πŸ₯ˆ21 Β· ⭐ 390 Β· πŸ“ˆ) - Multiple Imputation with LightGBM in Python. MIT - -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 32 Β· πŸ“‹ 91 - 9% open Β· ⏱️ 19.10.2025): - - ``` - git clone https://github.com/AnotherSamWilson/miceforest - ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 29K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): - ``` - pip install miceforest - ``` -- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 22K Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge miceforest - ``` -
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upgini (πŸ₯ˆ21 Β· ⭐ 340) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +
upgini (πŸ₯ˆ21 Β· ⭐ 350) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 28.10.2025): ``` git clone https://github.com/upgini/upgini ``` -- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 7.7K / month Β· ⏱️ 23.10.2025): +- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 5.9K / month Β· ⏱️ 28.10.2025): ``` pip install upgini ```
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Show 2 hidden projects... +
Show 3 hidden projects... +- miceforest (πŸ₯ˆ21 Β· ⭐ 390) - Multiple Imputation with LightGBM in Python. ❗Unlicensed - carefree-learn (πŸ₯‰18 Β· ⭐ 410 Β· πŸ’€) - Deep Learning PyTorch. MIT - deltapy (πŸ₯‰13 Β· ⭐ 550 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
@@ -3745,26 +3730,26 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
PaddleOCR (πŸ₯‡44 Β· ⭐ 61K Β· πŸ“ˆ) - Turn any PDF or image document into structured data for.. Apache-2 +
PaddleOCR (πŸ₯‡44 Β· ⭐ 62K) - Turn any PDF or image document into structured data for your.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 9K Β· πŸ“₯ 2M Β· πŸ“¦ 6.2K Β· πŸ“‹ 10K - 1% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 9.2K Β· πŸ“₯ 2M Β· πŸ“¦ 6.2K Β· πŸ“‹ 10K - 1% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 710K / month Β· πŸ“¦ 200 Β· ⏱️ 16.10.2025): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 750K / month Β· πŸ“¦ 210 Β· ⏱️ 29.10.2025): ``` pip install paddleocr ```
OCRmyPDF (πŸ₯‡37 Β· ⭐ 32K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.2K Β· πŸ“₯ 15K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.2K Β· πŸ“₯ 15K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 25.10.2025): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 390K / month Β· πŸ“¦ 58 Β· ⏱️ 16.10.2025): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 400K / month Β· πŸ“¦ 58 Β· ⏱️ 16.10.2025): ``` pip install ocrmypdf ``` @@ -3780,7 +3765,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 5.4M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 5.6M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): ``` pip install pytesseract ``` @@ -3791,7 +3776,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ32 Β· ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 260 Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.3K Β· πŸ“‹ 290 - 14% open Β· ⏱️ 10.10.2025): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 260 Β· πŸ“₯ 1.2K Β· πŸ“¦ 1.3K Β· πŸ“‹ 290 - 14% open Β· ⏱️ 10.10.2025): ``` git clone https://github.com/sirfz/tesserocr @@ -3812,7 +3797,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.1K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -3828,7 +3813,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` pip install keras-ocr ``` -- [Conda](https://anaconda.org/anaconda/keras-ocr) (πŸ“₯ 440 Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/anaconda/keras-ocr) (πŸ“₯ 450 Β· ⏱️ 22.04.2025): ``` conda install -c anaconda keras-ocr ``` @@ -3894,30 +3879,30 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
Ray (πŸ₯‡48 Β· ⭐ 39K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 +
Ray (πŸ₯‡48 Β· ⭐ 40K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6.8K Β· πŸ“₯ 270 Β· πŸ“¦ 27K Β· πŸ“‹ 22K - 14% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6.8K Β· πŸ“₯ 270 Β· πŸ“¦ 27K Β· πŸ“‹ 22K - 14% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 30M / month Β· πŸ“¦ 1.1K Β· ⏱️ 18.10.2025): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 30M / month Β· πŸ“¦ 1.1K Β· ⏱️ 29.10.2025): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 910K Β· ⏱️ 22.10.2025): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 920K Β· ⏱️ 22.10.2025): ``` conda install -c conda-forge ray-tune ```
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dask (πŸ₯‡44 Β· ⭐ 14K) - Parallel computing with task scheduling. BSD-3 +
dask (πŸ₯‡45 Β· ⭐ 14K Β· πŸ“ˆ) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 1.8K Β· πŸ“¦ 77K Β· πŸ“‹ 5.6K - 21% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 1.8K Β· πŸ“¦ 77K Β· πŸ“‹ 5.6K - 21% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 19M / month Β· πŸ“¦ 3.2K Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 20M / month Β· πŸ“¦ 3.2K Β· ⏱️ 14.10.2025): ``` pip install dask ``` @@ -3926,14 +3911,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge dask ```
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DeepSpeed (πŸ₯‡41 Β· ⭐ 40K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
DeepSpeed (πŸ₯‡41 Β· ⭐ 41K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/deepspeedai/DeepSpeed) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 4.6K Β· πŸ“¦ 15K Β· πŸ“‹ 3.2K - 34% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/deepspeedai/DeepSpeed) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 4.6K Β· πŸ“¦ 15K Β· πŸ“‹ 3.2K - 34% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 1M / month Β· πŸ“¦ 340 Β· ⏱️ 07.10.2025): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 990K / month Β· πŸ“¦ 350 Β· ⏱️ 23.10.2025): ``` pip install deepspeed ``` @@ -3944,7 +3929,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡39 Β· ⭐ 1.7K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 740 Β· πŸ“¦ 42K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 740 Β· πŸ“¦ 42K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/dask/distributed @@ -3960,28 +3945,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
horovod (πŸ₯ˆ36 Β· ⭐ 15K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 -- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 31.07.2025): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 76K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 78K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
metrics (πŸ₯ˆ36 Β· ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 460 Β· πŸ“₯ 6.9K Β· πŸ“¦ 45K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 460 Β· πŸ“₯ 6.9K Β· πŸ“¦ 45K Β· πŸ“‹ 990 - 8% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.1K / month Β· πŸ“¦ 4 Β· ⏱️ 26.02.2025): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 26.02.2025): ``` pip install metrics ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 2.1M Β· ⏱️ 03.09.2025): +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 2.2M Β· ⏱️ 03.09.2025): ``` conda install -c conda-forge torchmetrics ``` @@ -4008,12 +3993,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (πŸ₯ˆ33 Β· ⭐ 880) - Python bindings for MPI. BSD-3 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 130 Β· πŸ“₯ 39K Β· πŸ“¦ 12K Β· πŸ“‹ 220 - 1% open Β· ⏱️ 18.10.2025): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 130 Β· πŸ“₯ 39K Β· πŸ“¦ 12K Β· πŸ“‹ 230 - 2% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 940K / month Β· πŸ“¦ 1K Β· ⏱️ 10.10.2025): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 980K / month Β· πŸ“¦ 1K Β· ⏱️ 10.10.2025): ``` pip install mpi4py ``` @@ -4029,7 +4014,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 570K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 530K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4061,7 +4046,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 18K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4076,12 +4061,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 5.2K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 850 Β· πŸ“‹ 820 - 49% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 850 Β· πŸ“‹ 820 - 49% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 1.7M / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2025): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 1.6M / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2025): ``` pip install synapseml ``` @@ -4105,7 +4090,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 130K / month Β· πŸ“¦ 100 Β· ⏱️ 08.02.2025): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 100 Β· ⏱️ 08.02.2025): ``` pip install dask-ml ``` @@ -4121,14 +4106,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 48K / month Β· πŸ“¦ 12 Β· ⏱️ 20.04.2025): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 43K / month Β· πŸ“¦ 12 Β· ⏱️ 20.04.2025): ``` pip install hivemind ```
MMLSpark (πŸ₯‰23 Β· ⭐ 5.2K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 850 Β· πŸ“‹ 820 - 49% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 850 Β· πŸ“‹ 820 - 49% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/microsoft/SynapseML @@ -4161,7 +4146,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 660 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 600 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ``` @@ -4180,9 +4165,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.4K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (πŸ₯‰18 Β· ⭐ 330 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 -- parallelformers (πŸ₯‰17 Β· ⭐ 790 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 -- LazyCluster (πŸ₯‰14 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 +- parallelformers (πŸ₯‰16 Β· ⭐ 790 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 +- LazyCluster (πŸ₯‰13 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (πŸ₯‰11 Β· ⭐ 370 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT
@@ -4196,7 +4181,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (πŸ₯‡44 Β· ⭐ 13K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“¦ 30K Β· πŸ“‹ 1.8K - 3% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“¦ 30K Β· πŸ“‹ 1.8K - 3% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/optuna/optuna @@ -4212,7 +4197,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡36 Β· ⭐ 2.6K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 350 Β· πŸ“¦ 1.2K Β· πŸ“‹ 930 - 12% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 350 Β· πŸ“¦ 1.2K Β· πŸ“‹ 930 - 12% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/facebook/Ax @@ -4221,19 +4206,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 48K Β· ⏱️ 10.09.2025): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 49K Β· ⏱️ 10.09.2025): ``` conda install -c conda-forge ax-platform ```
-
AutoGluon (πŸ₯‡35 Β· ⭐ 9.5K Β· πŸ“‰) - Fast and Accurate ML in 3 Lines of Code. Apache-2 +
AutoGluon (πŸ₯‡35 Β· ⭐ 9.6K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 24% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 24% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 270K / month Β· πŸ“¦ 38 Β· ⏱️ 23.10.2025): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 260K / month Β· πŸ“¦ 38 Β· ⏱️ 23.10.2025): ``` pip install autogluon ``` @@ -4248,16 +4233,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡35 Β· ⭐ 3.4K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/meta-pytorch/botorch) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 440 Β· πŸ“¦ 1.8K Β· πŸ“‹ 620 - 14% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/meta-pytorch/botorch) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 450 Β· πŸ“¦ 1.8K Β· πŸ“‹ 600 - 10% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 480K / month Β· πŸ“¦ 130 Β· ⏱️ 12.08.2025): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 480K / month Β· πŸ“¦ 140 Β· ⏱️ 23.10.2025): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 180K Β· ⏱️ 12.08.2025): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 180K Β· ⏱️ 24.10.2025): ``` conda install -c conda-forge botorch ``` @@ -4297,7 +4282,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 17K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 15K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ``` @@ -4309,7 +4294,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 110K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 100K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` @@ -4325,7 +4310,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 160K / month Β· πŸ“¦ 72 Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 150K / month Β· πŸ“¦ 72 Β· ⏱️ 23.04.2025): ``` pip install nevergrad ``` @@ -4345,7 +4330,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install lazypredict ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 6.5K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 6.6K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge lazypredict ``` @@ -4357,7 +4342,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 8.5K / month Β· πŸ“¦ 6 Β· ⏱️ 07.07.2025): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 8.7K / month Β· πŸ“¦ 6 Β· ⏱️ 07.07.2025): ``` pip install mljar-supervised ``` @@ -4368,24 +4353,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperactive (πŸ₯ˆ24 Β· ⭐ 530) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 51 Β· πŸ“₯ 330 Β· πŸ“¦ 40 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 30.09.2025): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 51 Β· πŸ“₯ 340 Β· πŸ“¦ 40 Β· πŸ“‹ 120 - 28% open Β· ⏱️ 25.10.2025): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 4.8K / month Β· πŸ“¦ 13 Β· ⏱️ 20.09.2025): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 4K / month Β· πŸ“¦ 13 Β· ⏱️ 20.09.2025): ``` pip install hyperactive ```
FEDOT (πŸ₯‰23 Β· ⭐ 700) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 88 Β· πŸ“¦ 65 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 14.10.2025): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 89 Β· πŸ“¦ 65 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 14.10.2025): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 2.6K / month Β· πŸ“¦ 7 Β· ⏱️ 10.03.2025): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.8K / month Β· πŸ“¦ 7 Β· ⏱️ 10.03.2025): ``` pip install fedot ``` @@ -4397,7 +4382,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 360 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 320 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -4409,7 +4394,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 3.3K / month Β· πŸ“¦ 3 Β· ⏱️ 30.01.2025): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.6K / month Β· πŸ“¦ 3 Β· ⏱️ 30.01.2025): ``` pip install autoviml ``` @@ -4421,7 +4406,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 5.4K / month Β· πŸ“¦ 4 Β· ⏱️ 19.02.2025): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 19.02.2025): ``` pip install featurewiz ``` @@ -4436,9 +4421,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - SMAC3 (πŸ₯ˆ27 Β· ⭐ 1.2K Β· πŸ’€) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ26 Β· ⭐ 950 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 -- Talos (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT - AdaNet (πŸ₯ˆ24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯ˆ24 Β· ⭐ 1.7K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT +- Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT - lightwood (πŸ₯ˆ24 Β· ⭐ 490) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - Orion (πŸ₯ˆ24 Β· ⭐ 300 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - HpBandSter (πŸ₯‰22 Β· ⭐ 620 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 @@ -4446,15 +4431,15 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - Neuraxle (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - optunity (πŸ₯‰21 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 -- igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - sklearn-deap (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - opytimizer (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +- igel (πŸ₯‰19 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - Dragonfly (πŸ₯‰19 Β· ⭐ 890 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 -- Xcessiv (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - shap-hypetune (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT - Advisor (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 +- Xcessiv (πŸ₯‰17 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - automl-gs (πŸ₯‰16 Β· ⭐ 1.9K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 710 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT @@ -4463,7 +4448,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT -- Hypertunity (πŸ₯‰10 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2 +- Hypertunity (πŸ₯‰9 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -4480,49 +4465,49 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.6K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.8K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ```
-
ViZDoom (πŸ₯‡29 Β· ⭐ 1.9K Β· πŸ“‰) - Reinforcement Learning environments based on the 1993 game Doom. MIT +
ViZDoom (πŸ₯‡29 Β· ⭐ 1.9K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 400 Β· πŸ“₯ 12K Β· πŸ“¦ 340 Β· πŸ“‹ 470 - 6% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 400 Β· πŸ“₯ 12K Β· πŸ“¦ 340 Β· πŸ“‹ 470 - 6% open Β· ⏱️ 26.10.2025): ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 7.7K / month Β· πŸ“¦ 20 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 6.9K / month Β· πŸ“¦ 20 Β· ⏱️ 22.10.2025): ``` pip install vizdoom ```
-
Acme (πŸ₯ˆ28 Β· ⭐ 3.8K) - A library of reinforcement learning components and agents. Apache-2 +
Dopamine (πŸ₯ˆ27 Β· ⭐ 11K Β· πŸ’€) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 500 Β· πŸ“¦ 250 Β· πŸ“‹ 270 - 24% open Β· ⏱️ 26.09.2025): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 04.11.2024): ``` - git clone https://github.com/deepmind/acme - ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 9K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): - ``` - pip install dm-acme + git clone https://github.com/google/dopamine ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 14K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 68K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): ``` - conda install -c conda-forge dm-acme + pip install dopamine-rl ```
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Dopamine (πŸ₯ˆ27 Β· ⭐ 11K Β· πŸ’€) - Dopamine is a research framework for fast prototyping of.. Apache-2 +
Acme (πŸ₯ˆ27 Β· ⭐ 3.8K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 04.11.2024): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 500 Β· πŸ“¦ 250 Β· πŸ“‹ 270 - 24% open Β· ⏱️ 26.09.2025): ``` - git clone https://github.com/google/dopamine + git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 87K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 6.4K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` - pip install dopamine-rl + pip install dm-acme + ``` +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 14K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge dm-acme ```
TF-Agents (πŸ₯ˆ27 Β· ⭐ 3K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 @@ -4532,31 +4517,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 49K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 45K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ```
RLax (πŸ₯‰26 Β· ⭐ 1.4K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 94 Β· πŸ“¦ 370 Β· πŸ“‹ 27 - 29% open Β· ⏱️ 26.09.2025): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 95 Β· πŸ“¦ 370 Β· πŸ“‹ 28 - 32% open Β· ⏱️ 26.09.2025): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 53K / month Β· πŸ“¦ 22 Β· ⏱️ 01.09.2025): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 48K / month Β· πŸ“¦ 22 Β· ⏱️ 01.09.2025): ``` pip install rlax ```
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PARL (πŸ₯‰25 Β· ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰24 Β· ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 820 Β· πŸ“¦ 140 Β· πŸ“‹ 540 - 23% open Β· ⏱️ 13.09.2025): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 770 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -4568,7 +4553,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 42 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 50 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -4577,18 +4562,18 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst - OpenAI Gym (πŸ₯‡40 Β· ⭐ 37K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (πŸ₯‡29 Β· ⭐ 17K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- TensorLayer (πŸ₯ˆ28 Β· ⭐ 7.4K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - keras-rl (πŸ₯ˆ28 Β· ⭐ 5.6K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT +- TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.4K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - TensorForce (πŸ₯ˆ27 Β· ⭐ 3.3K Β· πŸ’€) - Tensorforce: a TensorFlow library for applied.. Apache-2 - garage (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT -- Stable Baselines (πŸ₯‰25 Β· ⭐ 4.3K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT +- Stable Baselines (πŸ₯‰24 Β· ⭐ 4.3K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - PFRL (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 -- Coach (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 +- Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (πŸ₯‰19 Β· ⭐ 6.9K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 7.3K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed -- Maze (πŸ₯‰13 Β· ⭐ 280 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- Maze (πŸ₯‰12 Β· ⭐ 280 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom - rliable (πŸ₯‰11 Β· ⭐ 850 Β· πŸ’€) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2

@@ -4606,63 +4591,63 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): ``` pip install recommenders ```
torchrec (πŸ₯‡32 Β· ⭐ 2.4K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/meta-pytorch/torchrec) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 560 Β· πŸ“¦ 240 Β· πŸ“‹ 320 - 49% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/meta-pytorch/torchrec) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 560 Β· πŸ“¦ 240 Β· πŸ“‹ 320 - 49% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 540 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 160 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
Cornac (πŸ₯ˆ28 Β· ⭐ 1K) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 160 Β· πŸ“¦ 300 Β· πŸ“‹ 170 - 17% open Β· ⏱️ 04.10.2025): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 160 Β· πŸ“¦ 300 Β· πŸ“‹ 170 - 17% open Β· ⏱️ 04.10.2025): ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 39K / month Β· πŸ“¦ 18 Β· ⏱️ 04.10.2025): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 44K / month Β· πŸ“¦ 18 Β· ⏱️ 04.10.2025): ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 910K Β· ⏱️ 05.10.2025): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 920K Β· ⏱️ 05.10.2025): ``` conda install -c conda-forge cornac ```
lkpy (πŸ₯ˆ28 Β· ⭐ 300) - Python recommendation toolkit. MIT -- [GitHub](https://github.com/lenskit/lkpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 72 Β· πŸ“¦ 140 Β· πŸ“‹ 280 - 33% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/lenskit/lkpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 72 Β· πŸ“¦ 140 Β· πŸ“‹ 290 - 33% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/lenskit/lkpy ``` -- [PyPi](https://pypi.org/project/lenskit) (πŸ“₯ 6.8K / month Β· πŸ“¦ 13 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/lenskit) (πŸ“₯ 6.6K / month Β· πŸ“¦ 13 Β· ⏱️ 22.10.2025): ``` pip install lenskit ``` -- [Conda](https://anaconda.org/conda-forge/lenskit) (πŸ“₯ 51K Β· ⏱️ 23.10.2025): +- [Conda](https://anaconda.org/conda-forge/lenskit) (πŸ“₯ 52K Β· ⏱️ 23.10.2025): ``` conda install -c conda-forge lenskit ```
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RecBole (πŸ₯‰25 Β· ⭐ 4K Β· πŸ’€) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (πŸ₯‰25 Β· ⭐ 4.1K Β· πŸ’€) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 690 Β· πŸ“‹ 1K - 30% open Β· ⏱️ 24.02.2025): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 690 Β· πŸ“‹ 1.1K - 32% open Β· ⏱️ 24.02.2025): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 110K / month Β· πŸ“¦ 2 Β· ⏱️ 24.02.2025): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 98K / month Β· πŸ“¦ 2 Β· ⏱️ 24.02.2025): ``` pip install recbole ``` @@ -4705,42 +4690,42 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡31 Β· ⭐ 9.8K) - Perform data science on data that remains in someone elses server. Apache-2 +
Opacus (πŸ₯‡32 Β· ⭐ 1.9K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.1K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 13.04.2025): +- [GitHub](https://github.com/meta-pytorch/opacus) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 370 Β· πŸ“₯ 150 Β· πŸ“¦ 1.2K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 27.10.2025): ``` - git clone https://github.com/OpenMined/PySyft + git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 27K / month Β· πŸ“¦ 5 Β· ⏱️ 13.04.2025): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 92K / month Β· πŸ“¦ 49 Β· ⏱️ 27.05.2025): ``` - pip install syft + pip install opacus + ``` +- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 28K Β· ⏱️ 09.07.2025): + ``` + conda install -c conda-forge opacus ```
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Opacus (πŸ₯‡31 Β· ⭐ 1.9K) - Training PyTorch models with differential privacy. Apache-2 +
PySyft (πŸ₯ˆ31 Β· ⭐ 9.8K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/meta-pytorch/opacus) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 370 Β· πŸ“₯ 150 Β· πŸ“¦ 1.2K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 16.09.2025): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.1K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 13.04.2025): ``` - git clone https://github.com/pytorch/opacus - ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 110K / month Β· πŸ“¦ 49 Β· ⏱️ 27.05.2025): - ``` - pip install opacus + git clone https://github.com/OpenMined/PySyft ``` -- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 28K Β· ⏱️ 09.07.2025): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 13.04.2025): ``` - conda install -c conda-forge opacus + pip install syft ```
TensorFlow Privacy (πŸ₯ˆ24 Β· ⭐ 2K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 450 Β· πŸ“₯ 190 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 13.06.2025): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 460 Β· πŸ“₯ 190 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 13.06.2025): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 23K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 18K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): ``` pip install tensorflow-privacy ``` @@ -4764,7 +4749,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 990 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 600 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -4784,44 +4769,44 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡47 Β· ⭐ 23K) - The open source developer platform to build AI/LLM applications and.. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 4.9K Β· πŸ“¦ 66K Β· πŸ“‹ 5.2K - 39% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 4.9K Β· πŸ“¦ 66K Β· πŸ“‹ 5.2K - 39% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 25M / month Β· πŸ“¦ 1.3K Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 26M / month Β· πŸ“¦ 1.3K Β· ⏱️ 22.10.2025): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 3.6M Β· ⏱️ 22.10.2025): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 3.7M Β· ⏱️ 24.10.2025): ``` conda install -c conda-forge mlflow ```
wandb client (πŸ₯‡44 Β· ⭐ 10K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 780 Β· πŸ“₯ 1.2K Β· πŸ“¦ 84K Β· πŸ“‹ 3.7K - 18% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 790 Β· πŸ“₯ 1.2K Β· πŸ“¦ 84K Β· πŸ“‹ 3.7K - 18% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 21M / month Β· πŸ“¦ 2.3K Β· ⏱️ 29.09.2025): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 20M / month Β· πŸ“¦ 2.3K Β· ⏱️ 28.10.2025): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 1.2M Β· ⏱️ 07.10.2025): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 1.2M Β· ⏱️ 30.10.2025): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡42 Β· ⭐ 15K) - Data Versioning and ML Experiments. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“¦ 24K Β· πŸ“‹ 4.9K - 4% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“¦ 24K Β· πŸ“‹ 4.9K - 4% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 1.4M / month Β· πŸ“¦ 140 Β· ⏱️ 02.09.2025): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 1.5M / month Β· πŸ“¦ 140 Β· ⏱️ 02.09.2025): ``` pip install dvc ``` @@ -4837,7 +4822,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 30M / month Β· πŸ“¦ 2.8K Β· ⏱️ 17.07.2025): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 31M / month Β· πŸ“¦ 2.8K Β· ⏱️ 17.07.2025): ``` pip install tensorboard ``` @@ -4848,32 +4833,32 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.2K Β· πŸ“¦ 6.2K Β· πŸ“‹ 1.6K - 21% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.2K Β· πŸ“¦ 6.2K Β· πŸ“‹ 1.6K - 21% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 27M / month Β· πŸ“¦ 210 Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 27M / month Β· πŸ“¦ 210 Β· ⏱️ 29.10.2025): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.8M Β· ⏱️ 25.08.2025): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.8M Β· ⏱️ 30.10.2025): ``` conda install -c conda-forge sagemaker-python-sdk ```
Metaflow (πŸ₯ˆ37 Β· ⭐ 9.6K) - Build, Manage and Deploy AI/ML Systems. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 930 Β· πŸ“¦ 950 Β· πŸ“‹ 840 - 43% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 930 Β· πŸ“¦ 950 Β· πŸ“‹ 840 - 43% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 720K / month Β· πŸ“¦ 53 Β· ⏱️ 20.10.2025): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 740K / month Β· πŸ“¦ 53 Β· ⏱️ 29.10.2025): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 340K Β· ⏱️ 20.10.2025): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 340K Β· ⏱️ 29.10.2025): ``` conda install -c conda-forge metaflow ``` @@ -4885,7 +4870,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 4.6M / month Β· πŸ“¦ 740 Β· ⏱️ 10.06.2025): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 4.5M / month Β· πŸ“¦ 740 Β· ⏱️ 10.06.2025): ``` pip install tensorboardX ``` @@ -4901,7 +4886,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 320K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 310K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): ``` pip install pycaret ``` @@ -4912,12 +4897,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ34 Β· ⭐ 6.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/clearml/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 710 Β· πŸ“₯ 3.5K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/clearml/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 710 Β· πŸ“₯ 3.5K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 45% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 490K / month Β· πŸ“¦ 78 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 500K / month Β· πŸ“¦ 78 Β· ⏱️ 22.10.2025): ``` pip install clearml ``` @@ -4928,28 +4913,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (πŸ₯ˆ34 Β· ⭐ 2.6K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 610 Β· πŸ“¦ 2.5K Β· πŸ“‹ 2.1K - 58% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 610 Β· πŸ“¦ 2.5K Β· πŸ“‹ 2.1K - 58% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 140K / month Β· πŸ“¦ 320 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 130K / month Β· πŸ“¦ 320 Β· ⏱️ 22.10.2025): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.5M Β· ⏱️ 22.10.2025): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.5M Β· ⏱️ 28.10.2025): ``` conda install -c bioconda snakemake ```
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kaggle (πŸ₯ˆ32 Β· ⭐ 6.9K) - Official Kaggle API. Apache-2 +
kaggle (πŸ₯ˆ33 Β· ⭐ 6.9K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 27% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 27% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 720K / month Β· πŸ“¦ 240 Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 610K / month Β· πŸ“¦ 240 Β· ⏱️ 08.05.2025): ``` pip install kaggle ``` @@ -4960,7 +4945,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 5.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 350 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.1K - 37% open Β· ⏱️ 26.06.2025): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 360 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.1K - 37% open Β· ⏱️ 26.06.2025): ``` git clone https://github.com/aimhubio/aim @@ -4986,14 +4971,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install azureml-sdk ```
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VisualDL (πŸ₯ˆ29 Β· ⭐ 4.8K Β· πŸ’€) - Deep Learning Visualization Toolkit. Apache-2 +
VisualDL (πŸ₯ˆ29 Β· ⭐ 4.9K Β· πŸ’€) - Deep Learning Visualization Toolkit. Apache-2 - [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 540 Β· πŸ“¦ 3.6K Β· πŸ“‹ 510 - 30% open Β· ⏱️ 22.01.2025): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 180K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 170K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): ``` pip install visualdl ``` @@ -5005,7 +4990,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 52K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 48K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): ``` pip install sacred ``` @@ -5016,16 +5001,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 620) - The experiment tracker for foundation model training. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 65 Β· πŸ“¦ 920 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 09.06.2025): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 66 Β· πŸ“¦ 920 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 09.06.2025): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 500K / month Β· πŸ“¦ 77 Β· ⏱️ 15.04.2025): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 480K / month Β· πŸ“¦ 77 Β· ⏱️ 15.04.2025): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 390K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge neptune-client ``` @@ -5037,7 +5022,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 12K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 9.4K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ``` @@ -5061,31 +5046,31 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 49K / month Β· πŸ“¦ 32 Β· ⏱️ 07.04.2025): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 50K / month Β· πŸ“¦ 32 Β· ⏱️ 07.04.2025): ``` pip install ml-metadata ```
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Labml (πŸ₯‰24 Β· ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
Labml (πŸ₯‰24 Β· ⭐ 2.3K) - Monitor deep learning model training and hardware usage from your mobile.. MIT - [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 240 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 10.04.2025): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 7K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.6K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): ``` pip install labml ```
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quinn (πŸ₯‰24 Β· ⭐ 670 Β· πŸ’€) - pyspark methods to enhance developer productivity. Apache-2 +
quinn (πŸ₯‰24 Β· ⭐ 680 Β· πŸ’€) - pyspark methods to enhance developer productivity. Apache-2 - [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 98 Β· πŸ“₯ 69 Β· πŸ“¦ 94 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 730K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 750K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ``` @@ -5097,7 +5082,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 6.5K / month Β· πŸ“¦ 8 Β· ⏱️ 18.06.2025): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 6.7K / month Β· πŸ“¦ 8 Β· ⏱️ 18.06.2025): ``` pip install gokart ``` @@ -5109,7 +5094,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 2.2K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.7K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -5121,7 +5106,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.8K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1.4K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -5133,19 +5118,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): ``` pip install keepsake ```
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datmo (πŸ₯‰18 Β· ⭐ 340) - Open source production model management tool for data scientists. MIT +
datmo (πŸ₯‰17 Β· ⭐ 340) - Open source production model management tool for data scientists. MIT - [GitHub](https://github.com/datmo/datmo) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 30 Β· πŸ“¦ 7 Β· πŸ“‹ 180 - 17% open Β· ⏱️ 23.06.2025): ``` git clone https://github.com/datmo/datmo ``` -- [PyPi](https://pypi.org/project/datmo) (πŸ“₯ 190 / month Β· ⏱️ 07.12.2018): +- [PyPi](https://pypi.org/project/datmo) (πŸ“₯ 130 / month Β· ⏱️ 07.12.2018): ``` pip install datmo ``` @@ -5157,7 +5142,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 560K / month Β· πŸ“¦ 99 Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 570K / month Β· πŸ“¦ 100 Β· ⏱️ 29.10.2025): ``` pip install comet_ml ``` @@ -5172,9 +5157,9 @@ _Libraries to organize, track, and visualize machine learning experiments._ - knockknock (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.9K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - SKLL (πŸ₯‰22 Β· ⭐ 560 Β· πŸ’€) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed -- lore (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - Studio.ml (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 +- lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - chitra (πŸ₯‰17 Β· ⭐ 230) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰17 Β· ⭐ 140 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - MXBoard (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 @@ -5192,19 +5177,19 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (πŸ₯‡45 Β· ⭐ 17K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.3K Β· πŸ“₯ 1.3K Β· πŸ“¦ 74K Β· πŸ“‹ 1.9K - 41% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.3K Β· πŸ“₯ 1.4K Β· πŸ“¦ 74K Β· πŸ“‹ 2K - 41% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 40M / month Β· πŸ“¦ 540 Β· ⏱️ 13.10.2025): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 41M / month Β· πŸ“¦ 540 Β· ⏱️ 13.10.2025): ``` pip install triton ```
onnx (πŸ₯‡43 Β· ⭐ 20K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3.8K Β· πŸ“₯ 25K Β· πŸ“¦ 49K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3.8K Β· πŸ“₯ 25K Β· πŸ“¦ 49K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/onnx/onnx @@ -5220,28 +5205,28 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (πŸ₯ˆ40 Β· ⭐ 3K) - The official Python client for the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 820 Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 830 Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 120M / month Β· πŸ“¦ 4.1K Β· ⏱️ 23.10.2025): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 120M / month Β· πŸ“¦ 4.1K Β· ⏱️ 28.10.2025): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 4.1M Β· ⏱️ 23.10.2025): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 4.2M Β· ⏱️ 28.10.2025): ``` conda install -c conda-forge huggingface_hub ```
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BentoML (πŸ₯ˆ36 Β· ⭐ 8.1K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 +
BentoML (πŸ₯ˆ36 Β· ⭐ 8.2K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 870 Β· πŸ“₯ 120 Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.1K - 12% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 880 Β· πŸ“₯ 95 Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 150K / month Β· πŸ“¦ 44 Β· ⏱️ 20.10.2025): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 180K / month Β· πŸ“¦ 44 Β· ⏱️ 29.10.2025): ``` pip install bentoml ``` @@ -5253,7 +5238,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 1.2M / month Β· πŸ“¦ 110 Β· ⏱️ 28.07.2025): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 1.1M / month Β· πŸ“¦ 110 Β· ⏱️ 28.07.2025): ``` pip install coremltools ``` @@ -5269,7 +5254,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 100K / month Β· πŸ“¦ 26 Β· ⏱️ 30.09.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 97K / month Β· πŸ“¦ 26 Β· ⏱️ 30.09.2024): ``` pip install torchserve ``` @@ -5289,7 +5274,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 17.03.2025): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 17.03.2025): ``` pip install hls4ml ``` @@ -5305,7 +5290,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/Microsoft/MMdnn ``` -- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 360 / month Β· ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 320 / month Β· ⏱️ 24.07.2020): ``` pip install mmdnn ``` @@ -5317,7 +5302,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.9K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.6K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): ``` pip install hummingbird-ml ``` @@ -5333,7 +5318,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 130 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 100 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -5346,7 +5331,7 @@ _Libraries to serialize models to files, convert between a variety of model form - nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ’€) - A collection of libraries to optimise AI model performances. Apache-2 - Larq Compute Engine (πŸ₯‰20 Β· ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT -- OMLT (πŸ₯‰19 Β· ⭐ 330) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed +- OMLT (πŸ₯‰19 Β· ⭐ 340) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - modelkit (πŸ₯‰17 Β· ⭐ 150 Β· πŸ’€) - Toolkit for developing and maintaining ML models. MIT - backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed @@ -5361,12 +5346,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡42 Β· ⭐ 25K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.4K Β· πŸ“¦ 35K Β· πŸ“‹ 2.7K - 23% open Β· ⏱️ 16.10.2025): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.4K Β· πŸ“¦ 36K Β· πŸ“‹ 2.7K - 23% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 9.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 9.5M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.10.2025): ``` pip install shap ``` @@ -5382,7 +5367,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 3.6M / month Β· πŸ“¦ 410 Β· ⏱️ 09.07.2025): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 3.7M / month Β· πŸ“¦ 410 Β· ⏱️ 09.07.2025): ``` pip install arviz ``` @@ -5393,48 +5378,48 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡36 Β· ⭐ 32K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 3K Β· πŸ“₯ 110K Β· πŸ“¦ 13 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 3K Β· πŸ“₯ 160K Β· πŸ“¦ 13 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 44K / month Β· πŸ“¦ 92 Β· ⏱️ 23.10.2025): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 43K / month Β· πŸ“¦ 92 Β· ⏱️ 23.10.2025): ``` pip install netron ```
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evaluate (πŸ₯‡34 Β· ⭐ 2.3K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
evaluate (πŸ₯‡34 Β· ⭐ 2.4K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 290 Β· πŸ“¦ 24K Β· πŸ“‹ 390 - 62% open Β· ⏱️ 25.09.2025): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3.7M / month Β· πŸ“¦ 660 Β· ⏱️ 18.09.2025): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3.6M / month Β· πŸ“¦ 660 Β· ⏱️ 18.09.2025): ``` pip install evaluate ```
InterpretML (πŸ₯‡33 Β· ⭐ 6.7K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 770 Β· πŸ“¦ 930 Β· πŸ“‹ 490 - 22% open Β· ⏱️ 12.10.2025): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 770 Β· πŸ“¦ 930 Β· πŸ“‹ 490 - 22% open Β· ⏱️ 24.10.2025): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 220K / month Β· πŸ“¦ 58 Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 230K / month Β· πŸ“¦ 58 Β· ⏱️ 14.10.2025): ``` pip install interpret ```
Captum (πŸ₯‡33 Β· ⭐ 5.4K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/meta-pytorch/captum) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 540 Β· πŸ“¦ 3.5K Β· πŸ“‹ 610 - 41% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/meta-pytorch/captum) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 540 Β· πŸ“¦ 3.5K Β· πŸ“‹ 610 - 41% open Β· ⏱️ 23.10.2025): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 350K / month Β· πŸ“¦ 170 Β· ⏱️ 27.03.2025): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 330K / month Β· πŸ“¦ 170 Β· ⏱️ 27.03.2025): ``` pip install captum ``` @@ -5443,64 +5428,64 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge captum ```
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shapash (πŸ₯ˆ30 Β· ⭐ 3K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 +
DoWhy (πŸ₯ˆ30 Β· ⭐ 7.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 350 Β· πŸ“¦ 200 Β· πŸ“‹ 240 - 16% open Β· ⏱️ 03.10.2025): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 980 Β· πŸ“₯ 43 Β· πŸ“¦ 660 Β· πŸ“‹ 510 - 27% open Β· ⏱️ 28.10.2025): ``` - git clone https://github.com/MAIF/shapash + git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.5K / month Β· πŸ“¦ 4 Β· ⏱️ 24.07.2025): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 83K / month Β· πŸ“¦ 28 Β· ⏱️ 12.07.2025): ``` - pip install shapash + pip install dowhy + ``` +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 51K Β· ⏱️ 13.07.2025): + ``` + conda install -c conda-forge dowhy ```
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fairlearn (πŸ₯ˆ30 Β· ⭐ 2.1K Β· πŸ“ˆ) - A Python package to assess and improve fairness of machine.. MIT +
shapash (πŸ₯ˆ30 Β· ⭐ 3K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 470 Β· πŸ“¦ 3 Β· πŸ“‹ 530 - 26% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 350 Β· πŸ“¦ 200 Β· πŸ“‹ 240 - 16% open Β· ⏱️ 03.10.2025): ``` - git clone https://github.com/fairlearn/fairlearn - ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 80 Β· ⏱️ 19.10.2025): - ``` - pip install fairlearn + git clone https://github.com/MAIF/shapash ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 54K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.5K / month Β· πŸ“¦ 4 Β· ⏱️ 24.07.2025): ``` - conda install -c conda-forge fairlearn + pip install shapash ```
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DoWhy (πŸ₯ˆ29 Β· ⭐ 7.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.5K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 980 Β· πŸ“₯ 43 Β· πŸ“¦ 660 Β· πŸ“‹ 510 - 27% open Β· ⏱️ 26.08.2025): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 340 Β· πŸ“¦ 650 Β· πŸ“‹ 240 - 16% open Β· ⏱️ 01.08.2025): ``` - git clone https://github.com/py-why/dowhy + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 81K / month Β· πŸ“¦ 28 Β· ⏱️ 12.07.2025): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 42K / month Β· πŸ“¦ 15 Β· ⏱️ 03.06.2025): ``` - pip install dowhy + pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 51K Β· ⏱️ 13.07.2025): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 75K Β· ⏱️ 04.06.2025): ``` - conda install -c conda-forge dowhy + conda install -c conda-forge explainerdashboard ```
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explainerdashboard (πŸ₯ˆ29 Β· ⭐ 2.5K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
fairlearn (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 340 Β· πŸ“¦ 650 Β· πŸ“‹ 240 - 16% open Β· ⏱️ 01.08.2025): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 470 Β· πŸ“¦ 3 Β· πŸ“‹ 520 - 24% open Β· ⏱️ 27.10.2025): ``` - git clone https://github.com/oegedijk/explainerdashboard + git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 44K / month Β· πŸ“¦ 15 Β· ⏱️ 03.06.2025): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 80 Β· ⏱️ 19.10.2025): ``` - pip install explainerdashboard + pip install fairlearn ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 75K Β· ⏱️ 04.06.2025): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 55K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge explainerdashboard + conda install -c conda-forge fairlearn ```
dtreeviz (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - A python library for decision tree visualization and model.. MIT @@ -5526,7 +5511,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 160K / month Β· πŸ“¦ 20 Β· ⏱️ 23.06.2025): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 200K / month Β· πŸ“¦ 20 Β· ⏱️ 23.06.2025): ``` pip install tensorflow-model-analysis ``` @@ -5538,7 +5523,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 33K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 29K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` @@ -5554,7 +5539,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 32K / month Β· πŸ“¦ 12 Β· ⏱️ 26.08.2025): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 30K / month Β· πŸ“¦ 12 Β· ⏱️ 26.08.2025): ``` pip install imodels ``` @@ -5566,7 +5551,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): ``` pip install lit-nlp ``` @@ -5606,7 +5591,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -5618,7 +5603,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 9.4K / month Β· πŸ“¦ 7 Β· ⏱️ 07.04.2025): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 8.8K / month Β· πŸ“¦ 7 Β· ⏱️ 07.04.2025): ``` pip install keract ``` @@ -5630,7 +5615,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 56K / month Β· πŸ“¦ 13 Β· ⏱️ 13.07.2025): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 48K / month Β· πŸ“¦ 13 Β· ⏱️ 13.07.2025): ``` pip install dice-ml ``` @@ -5654,19 +5639,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/parrt/random-forest-importances ``` -- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 18K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): +- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 16K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): ``` pip install rfpimp ```
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fairness-indicators (πŸ₯‰19 Β· ⭐ 360 Β· πŸ“‰) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 +
fairness-indicators (πŸ₯‰18 Β· ⭐ 360) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 86 Β· πŸ“‹ 45 - 77% open Β· ⏱️ 04.08.2025): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.2K / month Β· ⏱️ 25.06.2025): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.1K / month Β· ⏱️ 25.06.2025): ``` pip install fairness-indicators ``` @@ -5688,7 +5673,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - What-If Tool (πŸ₯‰23 Β· ⭐ 980 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT -- deeplift (πŸ₯‰22 Β· ⭐ 860 Β· πŸ’€) - Public facing deeplift repo. MIT +- deeplift (πŸ₯‰22 Β· ⭐ 870 Β· πŸ’€) - Public facing deeplift repo. MIT - TreeInterpreter (πŸ₯‰22 Β· ⭐ 760 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - Quantus (πŸ₯‰22 Β· ⭐ 630) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - XAI (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT @@ -5697,7 +5682,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - sklearn-evaluation (πŸ₯‰17 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - model-card-toolkit (πŸ₯‰17 Β· ⭐ 440 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - Anchor (πŸ₯‰16 Β· ⭐ 810 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- FlashTorch (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +- FlashTorch (πŸ₯‰15 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - ExplainX.ai (πŸ₯‰15 Β· ⭐ 440 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - effector (πŸ₯‰15 Β· ⭐ 120) - Effector - a Python package for global and regional effect methods. MIT - Skater (πŸ₯‰14 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 @@ -5716,30 +5701,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 5.5K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Milvus (πŸ₯‡43 Β· ⭐ 38K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database built.. Apache-2 +
Milvus (πŸ₯‡43 Β· ⭐ 38K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.5K Β· πŸ“₯ 280K Β· πŸ“‹ 14K - 5% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.5K Β· πŸ“₯ 290K Β· πŸ“‹ 15K - 5% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 3.2M / month Β· πŸ“¦ 350 Β· ⏱️ 19.09.2025): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 3.3M / month Β· πŸ“¦ 350 Β· ⏱️ 19.09.2025): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 72M Β· ⭐ 89 Β· ⏱️ 23.10.2025): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 72M Β· ⭐ 90 Β· ⏱️ 30.10.2025): ``` docker pull milvusdb/milvus ```
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Faiss (πŸ₯‡41 Β· ⭐ 38K Β· πŸ“‰) - A library for efficient similarity search and clustering of dense vectors. MIT +
Faiss (πŸ₯‡42 Β· ⭐ 38K Β· πŸ“ˆ) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 4K Β· πŸ“¦ 5K Β· πŸ“‹ 2.7K - 9% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 4K Β· πŸ“¦ 5K Β· πŸ“‹ 2.7K - 9% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 3.2M / month Β· πŸ“¦ 350 Β· ⏱️ 19.09.2025): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 3.3M / month Β· πŸ“¦ 350 Β· ⏱️ 19.09.2025): ``` pip install pymilvus ``` @@ -5748,9 +5733,25 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge faiss ```
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Annoy (πŸ₯ˆ35 Β· ⭐ 14K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 + +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 1.2K Β· πŸ“¦ 5.4K Β· πŸ“‹ 420 - 16% open Β· ⏱️ 29.10.2025): + + ``` + git clone https://github.com/spotify/annoy + ``` +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1M / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): + ``` + pip install annoy + ``` +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 800K Β· ⏱️ 01.09.2025): + ``` + conda install -c conda-forge python-annoy + ``` +
USearch (πŸ₯ˆ33 Β· ⭐ 3.2K) - Fast Open-Source Search & Clustering engine for Vectors & Arbitrary.. Apache-2 -- [GitHub](https://github.com/unum-cloud/USearch) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 230 Β· πŸ“₯ 100K Β· πŸ“¦ 210 Β· πŸ“‹ 240 - 31% open Β· ⏱️ 10.10.2025): +- [GitHub](https://github.com/unum-cloud/USearch) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 230 Β· πŸ“₯ 110K Β· πŸ“¦ 210 Β· πŸ“‹ 250 - 32% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/unum-cloud/usearch @@ -5759,11 +5760,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 19K / month Β· πŸ“¦ 22 Β· ⏱️ 10.10.2025): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 18K / month Β· πŸ“¦ 23 Β· ⏱️ 29.10.2025): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 450 Β· ⭐ 1 Β· ⏱️ 10.10.2025): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 480 Β· ⭐ 1 Β· ⏱️ 29.10.2025): ``` docker pull unum/usearch ``` @@ -5775,7 +5776,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 310K / month Β· πŸ“¦ 67 Β· ⏱️ 23.10.2025): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 280K / month Β· πŸ“¦ 67 Β· ⏱️ 23.10.2025): ``` pip install nmslib ``` @@ -5791,7 +5792,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 2.4M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 2.5M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): ``` pip install pynndescent ``` @@ -5800,21 +5801,20 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
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NGT (πŸ₯‰23 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰22 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 18% open Β· ⏱️ 15.10.2025): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.4K / month Β· πŸ“¦ 12 Β· ⏱️ 26.02.2025): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 1.8K / month Β· πŸ“¦ 12 Β· ⏱️ 26.02.2025): ``` pip install ngt ```
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Show 6 hidden projects... +
Show 5 hidden projects... -- Annoy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 - hnswlib (πŸ₯ˆ32 Β· ⭐ 5K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 - NearPy (πŸ₯‰22 Β· ⭐ 770 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (πŸ₯‰22 Β· ⭐ 580 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 @@ -5831,28 +5831,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡40 Β· ⭐ 9.3K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 2.1K Β· πŸ“₯ 140 Β· πŸ“¦ 7.7K Β· πŸ“‹ 3.6K - 11% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 2.1K Β· πŸ“₯ 140 Β· πŸ“¦ 7.7K Β· πŸ“‹ 3.6K - 11% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 350K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 330K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): ``` pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 850K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 860K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pymc3 ```
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tensorflow-probability (πŸ₯‡35 Β· ⭐ 4.4K Β· πŸ“‰) - Probabilistic reasoning and statistical analysis in.. Apache-2 +
tensorflow-probability (πŸ₯‡35 Β· ⭐ 4.4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 - [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 4 Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 22.10.2025): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 980K / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 880K / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): ``` pip install tensorflow-probability ``` @@ -5868,7 +5868,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 480K / month Β· πŸ“¦ 250 Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 500K / month Β· πŸ“¦ 250 Β· ⏱️ 14.10.2025): ``` pip install gpytorch ``` @@ -5879,12 +5879,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯‡34 Β· ⭐ 3.1K) - Python library for causal inference and probabilistic modeling. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 860 Β· πŸ“₯ 680 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 27% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 860 Β· πŸ“₯ 680 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 27% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 140K / month Β· πŸ“¦ 72 Β· ⏱️ 31.03.2025): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 120K / month Β· πŸ“¦ 72 Β· ⏱️ 31.03.2025): ``` pip install pgmpy ``` @@ -5896,7 +5896,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 21M / month Β· πŸ“¦ 680 Β· ⏱️ 20.10.2025): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 22M / month Β· πŸ“¦ 680 Β· ⏱️ 20.10.2025): ``` pip install patsy ``` @@ -5912,23 +5912,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 610K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 630K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 270K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 280K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pyro-ppl ```
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SALib (πŸ₯ˆ31 Β· ⭐ 950) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
SALib (πŸ₯ˆ31 Β· ⭐ 960) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT - [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 250 Β· πŸ“¦ 1.6K Β· πŸ“‹ 350 - 18% open Β· ⏱️ 12.10.2025): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 240K / month Β· πŸ“¦ 190 Β· ⏱️ 12.10.2025): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 250K / month Β· πŸ“¦ 190 Β· ⏱️ 12.10.2025): ``` pip install salib ``` @@ -5948,7 +5948,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 420K Β· ⏱️ 10.09.2025): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 430K Β· ⏱️ 10.09.2025): ``` conda install -c conda-forge hmmlearn ``` @@ -5976,7 +5976,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 44K / month Β· πŸ“¦ 43 Β· ⏱️ 29.05.2025): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 32K / month Β· πŸ“¦ 43 Β· ⏱️ 29.05.2025): ``` pip install gpflow ``` @@ -5985,18 +5985,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge gpflow ```
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bambi (πŸ₯‰28 Β· ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰29 Β· ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 140 Β· πŸ“¦ 220 Β· πŸ“‹ 450 - 20% open Β· ⏱️ 20.10.2025): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 140 Β· πŸ“¦ 220 Β· πŸ“‹ 460 - 21% open Β· ⏱️ 24.10.2025): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 48K / month Β· πŸ“¦ 14 Β· ⏱️ 21.12.2024): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 48K / month Β· πŸ“¦ 19 Β· ⏱️ 24.10.2025): ``` pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 56K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 56K Β· ⏱️ 27.10.2025): ``` conda install -c conda-forge bambi ``` @@ -6008,7 +6008,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 38K / month Β· πŸ“¦ 67 Β· ⏱️ 07.02.2025): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 36K / month Β· πŸ“¦ 67 Β· ⏱️ 07.02.2025): ``` pip install pomegranate ``` @@ -6017,14 +6017,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pomegranate ```
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scikit-posthocs (πŸ₯‰25 Β· ⭐ 380) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +
scikit-posthocs (πŸ₯‰24 Β· ⭐ 380) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 41 Β· πŸ“₯ 67 Β· πŸ“¦ 1.2K Β· πŸ“‹ 72 - 6% open Β· ⏱️ 11.09.2025): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 130K / month Β· πŸ“¦ 73 Β· ⏱️ 29.03.2025): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 120K / month Β· πŸ“¦ 73 Β· ⏱️ 29.03.2025): ``` pip install scikit-posthocs ``` @@ -6044,7 +6044,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install pandas-ta ``` -- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 38K Β· ⏱️ 23.09.2025): +- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 39K Β· ⏱️ 23.09.2025): ``` conda install -c conda-forge pandas-ta ``` @@ -6056,27 +6056,15 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 24.06.2025): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 24.06.2025): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 14K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 15K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge baal ```
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TorchUncertainty (πŸ₯‰22 Β· ⭐ 440) - Open-source framework for uncertainty and deep.. Apache-2 - -- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 35 Β· πŸ“‹ 67 - 23% open Β· ⏱️ 31.07.2025): - - ``` - git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty - ``` -- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 1K / month Β· πŸ“¦ 4 Β· ⏱️ 31.07.2025): - ``` - pip install torch-uncertainty - ``` -
Orbit (πŸ₯‰21 Β· ⭐ 2K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 140 Β· πŸ“‹ 410 - 13% open Β· ⏱️ 05.06.2025): @@ -6084,7 +6072,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 28K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 24K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ``` @@ -6096,11 +6084,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/mattjj/pyhsmm ``` -- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2017): +- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2017): ``` pip install pyhsmm ```
+
TorchUncertainty (πŸ₯‰20 Β· ⭐ 440 Β· πŸ“‰) - Open-source framework for uncertainty and deep.. Apache-2 + +- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 35 Β· πŸ“‹ 67 - 23% open Β· ⏱️ 31.07.2025): + + ``` + git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty + ``` +- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 920 / month Β· πŸ“¦ 4 Β· ⏱️ 31.07.2025): + ``` + pip install torch-uncertainty + ``` +
Show 6 hidden projects... - filterpy (πŸ₯ˆ31 Β· ⭐ 3.7K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT @@ -6125,23 +6125,23 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 32K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2025): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 29K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2025): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 84K Β· ⏱️ 07.07.2025): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 85K Β· ⏱️ 07.07.2025): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
TextAttack (πŸ₯ˆ28 Β· ⭐ 3.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 420 Β· πŸ“¦ 420 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 10.07.2025): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 420 Β· πŸ“¦ 430 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 10.07.2025): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 9K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 9.1K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -6155,7 +6155,7 @@ _Libraries for testing the robustness of machine learning models against attacks - CleverHans (πŸ₯ˆ29 Β· ⭐ 6.4K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT - Foolbox (πŸ₯ˆ28 Β· ⭐ 2.9K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT - advertorch (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 -- robustness (πŸ₯‰20 Β· ⭐ 940 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT +- robustness (πŸ₯‰20 Β· ⭐ 950 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT - AdvBox (πŸ₯‰19 Β· ⭐ 1.4K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - textflint (πŸ₯‰17 Β· ⭐ 650 Β· πŸ’€) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT @@ -6170,51 +6170,51 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡37 Β· ⭐ 3.1K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 600 Β· πŸ“¦ 6.3K Β· πŸ“‹ 860 - 30% open Β· ⏱️ 09.10.2025): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 600 Β· πŸ“¦ 6.3K Β· πŸ“‹ 860 - 30% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 3.6M / month Β· πŸ“¦ 270 Β· ⏱️ 09.10.2025): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 3.7M / month Β· πŸ“¦ 270 Β· ⏱️ 09.10.2025): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 49K Β· ⏱️ 09.10.2025): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 50K Β· ⏱️ 09.10.2025): ``` conda install -c conda-forge optimum ```
cuDF (πŸ₯‡35 Β· ⭐ 9.3K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 980 Β· πŸ“¦ 64 Β· πŸ“‹ 7.3K - 15% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 980 Β· πŸ“¦ 64 Β· πŸ“‹ 7.3K - 15% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.8K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
PyCUDA (πŸ₯ˆ33 Β· ⭐ 2K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 290 Β· πŸ“¦ 4K Β· πŸ“‹ 290 - 29% open Β· ⏱️ 12.10.2025): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 300 Β· πŸ“¦ 4K Β· πŸ“‹ 290 - 29% open Β· ⏱️ 12.10.2025): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 68K / month Β· πŸ“¦ 200 Β· ⏱️ 09.09.2025): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 66K / month Β· πŸ“¦ 200 Β· ⏱️ 09.09.2025): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 1.1M Β· ⏱️ 10.09.2025): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 1.1M Β· ⏱️ 27.10.2025): ``` conda install -c conda-forge pycuda ```
Apex (πŸ₯ˆ32 Β· ⭐ 8.8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.3K Β· πŸ“‹ 1.3K - 57% open Β· ⏱️ 03.10.2025): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.3K Β· πŸ“‹ 1.3K - 57% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/NVIDIA/apex @@ -6226,12 +6226,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ31 Β· ⭐ 5K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 590 Β· πŸ“‹ 3K - 31% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 600 Β· πŸ“‹ 3K - 31% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.6K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.5K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): ``` pip install cuml ``` @@ -6243,7 +6243,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1M / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 1.1M / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -6254,28 +6254,28 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.8K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 540 Β· πŸ“₯ 9.5K Β· πŸ“‹ 1.8K - 19% open Β· ⏱️ 28.07.2025): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 540 Β· πŸ“₯ 9.6K Β· πŸ“‹ 1.8K - 19% open Β· ⏱️ 28.07.2025): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 6.2K / month Β· πŸ“¦ 13 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 4.5K / month Β· πŸ“¦ 13 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ28 Β· ⭐ 2.1K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“‹ 1.9K - 6% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“‹ 1.9K - 6% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 620 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 550 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` -- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 68K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 69K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge libcugraph ``` @@ -6287,7 +6287,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 41K / month Β· πŸ“¦ 400 Β· ⏱️ 18.08.2025): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 39K / month Β· πŸ“¦ 400 Β· ⏱️ 18.08.2025): ``` pip install cupy ``` @@ -6302,7 +6302,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 5.5K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 650 Β· πŸ“‹ 1.7K - 15% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 650 Β· πŸ“‹ 1.7K - 15% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/NVIDIA/DALI @@ -6315,7 +6315,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 1.9K / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 1.8K / month Β· ⏱️ 20.01.2024): ``` pip install kp ``` @@ -6326,10 +6326,10 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - scikit-cuda (πŸ₯‰25 Β· ⭐ 990 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (πŸ₯‰22 Β· ⭐ 250 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰20 Β· ⭐ 2K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 -- Merlin (πŸ₯‰20 Β· ⭐ 850 Β· πŸ’€) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +- Merlin (πŸ₯‰20 Β· ⭐ 860 Β· πŸ’€) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 140 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 -- ipyexperiments (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 - SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- ipyexperiments (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 - cuSignal (πŸ₯‰14 Β· ⭐ 730 Β· πŸ’€) - GPU accelerated signal processing. ❗Unlicensed

@@ -6363,7 +6363,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.9M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -6379,7 +6379,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 34K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 37K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): ``` pip install tfx ``` @@ -6391,7 +6391,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 830K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 920K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -6403,7 +6403,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 740K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 730K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): ``` pip install tensorflow-io ``` @@ -6415,7 +6415,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 260K / month Β· πŸ“¦ 19 Β· ⏱️ 13.06.2025): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 250K / month Β· πŸ“¦ 19 Β· ⏱️ 13.06.2025): ``` pip install tensorflow-transform ``` @@ -6432,35 +6432,35 @@ _Libraries that extend TensorFlow with additional capabilities._ pip install neural-structured-learning ```
-
TF Compression (πŸ₯‰21 Β· ⭐ 900) - Data compression in TensorFlow. Apache-2 +
TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 260 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 19.08.2025): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 92 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 01.10.2025): ``` - git clone https://github.com/tensorflow/compression + git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 8.2K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 18K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` - pip install tensorflow-compression + pip install tensorflow-cloud ```
-
TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2 +
TF Compression (πŸ₯‰20 Β· ⭐ 900) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 92 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 01.10.2025): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 260 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 19.08.2025): ``` - git clone https://github.com/tensorflow/cloud + git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 20K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 4.3K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` - pip install tensorflow-cloud + pip install tensorflow-compression ```
Show 7 hidden projects... - tensor2tensor (πŸ₯‡33 Β· ⭐ 17K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 - TF Addons (πŸ₯ˆ32 Β· ⭐ 1.7K Β· πŸ’€) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 -- Keras-Preprocessing (πŸ₯‰27 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT +- Keras-Preprocessing (πŸ₯‰28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (πŸ₯‰22 Β· ⭐ 980 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT @@ -6476,7 +6476,7 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡33 Β· ⭐ 2.6K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 170 Β· πŸ“¦ 1.4K Β· πŸ“‹ 610 - 35% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 170 Β· πŸ“¦ 1.4K Β· πŸ“‹ 610 - 35% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/patrick-kidger/equinox @@ -6501,28 +6501,28 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 -- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 180 Β· πŸ“¦ 14K Β· πŸ“‹ 250 - 16% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 180 Β· πŸ“¦ 14K Β· πŸ“‹ 250 - 15% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 94K / month Β· πŸ“¦ 74 Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 89K / month Β· πŸ“¦ 74 Β· ⏱️ 22.10.2025): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 650K Β· ⏱️ 23.10.2025): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 650K Β· ⏱️ 30.10.2025): ``` conda install -c conda-forge scikit-learn-intelex ```
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imbalanced-learn (πŸ₯‡33 Β· ⭐ 7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡33 Β· ⭐ 7.1K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.3K Β· πŸ“‹ 630 - 8% open Β· ⏱️ 14.08.2025): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 16M / month Β· πŸ“¦ 600 Β· ⏱️ 14.08.2025): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 14M / month Β· πŸ“¦ 600 Β· ⏱️ 14.08.2025): ``` pip install imbalanced-learn ``` @@ -6538,7 +6538,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 990K / month Β· πŸ“¦ 200 Β· ⏱️ 26.01.2025): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 960K / month Β· πŸ“¦ 200 Β· ⏱️ 26.01.2025): ``` pip install mlxtend ``` @@ -6570,23 +6570,23 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 52K / month Β· πŸ“¦ 13 Β· ⏱️ 15.09.2025): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 53K / month Β· πŸ“¦ 13 Β· ⏱️ 15.09.2025): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 75K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 76K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge scikit-lego ```
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scikit-opt (πŸ₯‰26 Β· ⭐ 6K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰26 Β· ⭐ 6.2K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1K Β· πŸ“¦ 280 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 31.08.2025): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 1.1K Β· πŸ“¦ 280 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 31.08.2025): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 11K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 9.1K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -6598,19 +6598,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 56K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 54K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): ``` pip install iterative-stratification ```
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scikit-tda (πŸ₯‰18 Β· ⭐ 550) - Topological Data Analysis for Python. MIT +
scikit-tda (πŸ₯‰19 Β· ⭐ 550) - Topological Data Analysis for Python. MIT -- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 93 Β· πŸ“‹ 23 - 17% open Β· ⏱️ 21.10.2025): +- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 54 Β· πŸ“¦ 93 Β· πŸ“‹ 23 - 17% open Β· ⏱️ 28.10.2025): ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 2.3K / month Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.8K / month Β· ⏱️ 19.07.2024): ``` pip install scikit-tda ``` @@ -6627,7 +6627,7 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-contrib-lightning (πŸ₯‰20 Β· ⭐ 1.8K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - dabl (πŸ₯‰18 Β· ⭐ 730 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 - DESlib (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- skggm (πŸ₯‰18 Β· ⭐ 250) - Scikit-learn compatible estimation of general graphical models. MIT +- skggm (πŸ₯‰17 Β· ⭐ 250) - Scikit-learn compatible estimation of general graphical models. MIT

@@ -6648,14 +6648,14 @@ _Libraries that extend Pytorch with additional capabilities._ ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 650K Β· ⏱️ 25.08.2025): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 670K Β· ⏱️ 24.10.2025): ``` conda install -c conda-forge accelerate ```
tinygrad (πŸ₯‡33 Β· ⭐ 30K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 3.6K Β· πŸ“¦ 20 Β· πŸ“‹ 1K - 13% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 3.6K Β· πŸ“¦ 20 Β· πŸ“‹ 1K - 12% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/geohot/tinygrad @@ -6700,11 +6700,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 4.4M / month Β· πŸ“¦ 37 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 4.6M / month Β· πŸ“¦ 37 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` -- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 45K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge torchsde ``` @@ -6716,7 +6716,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 86K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 82K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` @@ -6732,7 +6732,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 70K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 63K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` @@ -6748,7 +6748,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 9.6K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8.3K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): ``` pip install pytorch_toolbelt ``` @@ -6760,7 +6760,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 9K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 9.7K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -6783,7 +6783,7 @@ _Libraries that extend Pytorch with additional capabilities._ - EfficientNets (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - pytorch-summary (πŸ₯‰24 Β· ⭐ 4.1K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT - Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- micrograd (πŸ₯‰22 Β· ⭐ 13K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (πŸ₯‰22 Β· ⭐ 14K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 @@ -6816,28 +6816,28 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡51 Β· ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 5.5K Β· πŸ“₯ 110K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 5.5K Β· πŸ“₯ 97K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 210M / month Β· πŸ“¦ 60K Β· ⏱️ 11.09.2025): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 220M / month Β· πŸ“¦ 61K Β· ⏱️ 28.10.2025): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 70M Β· ⏱️ 12.09.2025): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 70M Β· ⏱️ 29.10.2025): ``` conda install -c conda-forge scipy ```
SymPy (πŸ₯‡49 Β· ⭐ 14K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 4.8K Β· πŸ“₯ 570K Β· πŸ“¦ 290K Β· πŸ“‹ 15K - 37% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 4.8K Β· πŸ“₯ 570K Β· πŸ“¦ 290K Β· πŸ“‹ 15K - 37% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 71M / month Β· πŸ“¦ 4.6K Β· ⏱️ 27.04.2025): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 73M / month Β· πŸ“¦ 4.6K Β· ⏱️ 27.04.2025): ``` pip install sympy ``` @@ -6848,48 +6848,48 @@ _Libraries for connecting to, operating, and querying databases._
Streamlit (πŸ₯‡47 Β· ⭐ 42K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 3.8K Β· πŸ“¦ 1M Β· πŸ“‹ 5.7K - 23% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 3.8K Β· πŸ“¦ 1M Β· πŸ“‹ 5.7K - 23% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 18M / month Β· πŸ“¦ 4.6K Β· ⏱️ 23.09.2025): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 19M / month Β· πŸ“¦ 4.6K Β· ⏱️ 29.10.2025): ``` pip install streamlit ```
Gradio (πŸ₯‡46 Β· ⭐ 40K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 3.1K Β· πŸ“¦ 84K Β· πŸ“‹ 6.1K - 6% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 3.1K Β· πŸ“¦ 84K Β· πŸ“‹ 6.1K - 6% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 10M / month Β· πŸ“¦ 1.6K Β· ⏱️ 22.10.2025): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 11M / month Β· πŸ“¦ 1.6K Β· ⏱️ 22.10.2025): ``` pip install gradio ```
carla (πŸ₯‡37 Β· ⭐ 13K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 6.2K - 18% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 6.2K - 18% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 17K / month Β· πŸ“¦ 16 Β· ⏱️ 14.09.2025): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 18K / month Β· πŸ“¦ 16 Β· ⏱️ 14.09.2025): ``` pip install carla ```
Autograd (πŸ₯‡37 Β· ⭐ 7.4K) - Efficiently computes derivatives of NumPy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 910 Β· πŸ“¦ 14K Β· πŸ“‹ 440 - 42% open Β· ⏱️ 20.10.2025): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 910 Β· πŸ“¦ 14K Β· πŸ“‹ 440 - 42% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.5M / month Β· πŸ“¦ 310 Β· ⏱️ 05.05.2025): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.4M / month Β· πŸ“¦ 310 Β· ⏱️ 05.05.2025): ``` pip install autograd ``` @@ -6900,12 +6900,12 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (πŸ₯‡37 Β· ⭐ 2.9K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 700 Β· πŸ“₯ 100 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 23.10.2025): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 700 Β· πŸ“₯ 100 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 30.10.2025): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 220K / month Β· πŸ“¦ 89 Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 200K / month Β· πŸ“¦ 89 Β· ⏱️ 15.10.2025): ``` pip install pennylane ``` @@ -6914,14 +6914,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pennylane ```
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PyOD (πŸ₯ˆ35 Β· ⭐ 9.5K Β· πŸ“‰) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 +
PyOD (πŸ₯ˆ36 Β· ⭐ 9.6K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 1.4K Β· πŸ“¦ 5.5K Β· πŸ“‹ 390 - 59% open Β· ⏱️ 29.04.2025): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 830K / month Β· πŸ“¦ 130 Β· ⏱️ 29.04.2025): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 840K / month Β· πŸ“¦ 130 Β· ⏱️ 29.04.2025): ``` pip install pyod ``` @@ -6930,36 +6930,36 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyod ```
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DeepChem (πŸ₯ˆ35 Β· ⭐ 6.3K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
Datasette (πŸ₯ˆ35 Β· ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 650 Β· πŸ“‹ 2.1K - 39% open Β· ⏱️ 07.10.2025): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 770 Β· πŸ“₯ 75 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 26.10.2025): ``` - git clone https://github.com/deepchem/deepchem + git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 60K / month Β· πŸ“¦ 22 Β· ⏱️ 07.10.2025): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 180K / month Β· πŸ“¦ 480 Β· ⏱️ 22.04.2025): ``` - pip install deepchem + pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 73K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge deepchem + conda install -c conda-forge datasette ```
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Datasette (πŸ₯ˆ34 Β· ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2 +
DeepChem (πŸ₯ˆ34 Β· ⭐ 6.3K Β· πŸ“‰) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 770 Β· πŸ“₯ 75 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 22.10.2025): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 650 Β· πŸ“‹ 2.1K - 40% open Β· ⏱️ 27.10.2025): ``` - git clone https://github.com/simonw/datasette + git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 190K / month Β· πŸ“¦ 480 Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 54K / month Β· πŸ“¦ 24 Β· ⏱️ 27.10.2025): ``` - pip install datasette + pip install deepchem ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 72K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge datasette + conda install -c conda-forge deepchem ```
Pythran (πŸ₯ˆ34 Β· ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3 @@ -6969,23 +6969,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 490K / month Β· πŸ“¦ 28 Β· ⏱️ 23.05.2025): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 500K / month Β· πŸ“¦ 28 Β· ⏱️ 23.05.2025): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 1.2M Β· ⏱️ 07.07.2025): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 1.3M Β· ⏱️ 07.07.2025): ``` conda install -c conda-forge pythran ```
agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 150 Β· πŸ“¦ 5.3K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 05.09.2025): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 150 Β· πŸ“¦ 5.3K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 27.10.2025): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 23M / month Β· πŸ“¦ 54 Β· ⏱️ 29.01.2025): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 24M / month Β· πŸ“¦ 54 Β· ⏱️ 29.01.2025): ``` pip install agate ``` @@ -7001,7 +7001,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 100K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 91K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): ``` pip install river ``` @@ -7010,18 +7010,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge river ```
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anomalib (πŸ₯ˆ32 Β· ⭐ 5.1K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - -- [GitHub](https://github.com/open-edge-platform/anomalib) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 820 Β· πŸ“₯ 41K Β· πŸ“¦ 200 Β· πŸ“‹ 1.2K - 5% open Β· ⏱️ 23.10.2025): - - ``` - git clone https://github.com/openvinotoolkit/anomalib - ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 140K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2025): - ``` - pip install anomalib - ``` -
hdbscan (πŸ₯ˆ32 Β· ⭐ 3K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 500 Β· πŸ“¦ 7.6K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 11.10.2025): @@ -7038,6 +7026,18 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge hdbscan ```
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anomalib (πŸ₯ˆ31 Β· ⭐ 5.1K Β· πŸ“‰) - An anomaly detection library comprising state-of-the-art.. Apache-2 + +- [GitHub](https://github.com/open-edge-platform/anomalib) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 820 Β· πŸ“₯ 42K Β· πŸ“¦ 200 Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 27.10.2025): + + ``` + git clone https://github.com/openvinotoolkit/anomalib + ``` +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 200K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2025): + ``` + pip install anomalib + ``` +
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.5K) - Clean APIs for data cleaning. Python implementation of R package.. MIT - [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 980 Β· πŸ“‹ 590 - 18% open Β· ⏱️ 21.10.2025): @@ -7045,7 +7045,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 260K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 280K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): ``` pip install pyjanitor ``` @@ -7061,11 +7061,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 70K / month Β· πŸ“¦ 10 Β· ⏱️ 09.07.2025): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 79K / month Β· πŸ“¦ 10 Β· ⏱️ 09.07.2025): ``` pip install causalml ```
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dstack (πŸ₯ˆ30 Β· ⭐ 1.9K) - dstack is an open-source control plane for running development,.. MPL-2.0 + +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 200 Β· πŸ“¦ 22 Β· πŸ“‹ 1.5K - 6% open Β· ⏱️ 30.10.2025): + + ``` + git clone https://github.com/dstackai/dstack + ``` +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 4.2K / month Β· ⏱️ 30.10.2025): + ``` + pip install dstack + ``` +
tensorly (πŸ₯ˆ30 Β· ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2 - [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 290 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 22% open Β· ⏱️ 05.05.2025): @@ -7082,26 +7094,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge tensorly ```
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dstack (πŸ₯ˆ29 Β· ⭐ 1.9K) - dstack is an open-source control plane for running development,.. MPL-2.0 - -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 200 Β· πŸ“¦ 22 Β· πŸ“‹ 1.5K - 7% open Β· ⏱️ 23.10.2025): - - ``` - git clone https://github.com/dstackai/dstack - ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 4.6K / month Β· ⏱️ 23.10.2025): - ``` - pip install dstack - ``` -
metricflow (πŸ₯ˆ29 Β· ⭐ 1.3K) - MetricFlow allows you to define, build, and maintain metrics in.. Apache-2 -- [GitHub](https://github.com/dbt-labs/metricflow) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 130 Β· πŸ“¦ 37 Β· πŸ“‹ 370 - 27% open Β· ⏱️ 15.10.2025): +- [GitHub](https://github.com/dbt-labs/metricflow) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 130 Β· πŸ“¦ 37 Β· πŸ“‹ 370 - 27% open Β· ⏱️ 29.10.2025): ``` git clone https://github.com/transform-data/metricflow ``` -- [PyPi](https://pypi.org/project/metricflow) (πŸ“₯ 92K / month Β· πŸ“¦ 4 Β· ⏱️ 14.10.2025): +- [PyPi](https://pypi.org/project/metricflow) (πŸ“₯ 94K / month Β· πŸ“¦ 4 Β· ⏱️ 14.10.2025): ``` pip install metricflow ``` @@ -7113,7 +7113,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 180K / month Β· πŸ“¦ 28 Β· ⏱️ 15.10.2025): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 190K / month Β· πŸ“¦ 28 Β· ⏱️ 15.10.2025): ``` pip install pycm ``` @@ -7125,7 +7125,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 240K / month Β· πŸ“¦ 23 Β· ⏱️ 04.08.2025): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 230K / month Β· πŸ“¦ 23 Β· ⏱️ 04.08.2025): ``` pip install prince ``` @@ -7141,23 +7141,35 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.9K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ```
adapter-transformers (πŸ₯‰27 Β· ⭐ 2.8K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 360 Β· πŸ“¦ 250 Β· πŸ“‹ 410 - 10% open Β· ⏱️ 12.10.2025): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 360 Β· πŸ“¦ 260 Β· πŸ“‹ 410 - 10% open Β· ⏱️ 12.10.2025): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 6K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 4.9K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): ``` pip install adapter-transformers ```
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AugLy (πŸ₯‰26 Β· ⭐ 5.1K) - A data augmentations library for audio, image, text, and video. MIT + +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 310 Β· πŸ“¦ 180 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 27.10.2025): + + ``` + git clone https://github.com/facebookresearch/AugLy + ``` +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 13K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): + ``` + pip install augly + ``` +
avalanche (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT - [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 310 Β· πŸ“₯ 60 Β· πŸ“¦ 140 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 11.03.2025): @@ -7165,7 +7177,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 5K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 3.2K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): ``` pip install avalanche-lib ``` @@ -7177,7 +7189,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 25K / month Β· πŸ“¦ 19 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 20K / month Β· πŸ“¦ 19 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -7193,27 +7205,15 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.1K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): ``` pip install tabpy ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 5.7K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 5.8K Β· ⏱️ 22.04.2025): ``` conda install -c anaconda tabpy-client ```
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AugLy (πŸ₯‰25 Β· ⭐ 5.1K) - A data augmentations library for audio, image, text, and video. MIT - -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 310 Β· πŸ“¦ 180 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 17.10.2025): - - ``` - git clone https://github.com/facebookresearch/AugLy - ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 4.1K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): - ``` - pip install augly - ``` -
findspark (πŸ₯‰25 Β· ⭐ 520) - Find pyspark to make it importable. BSD-3 - [GitHub](https://github.com/minrk/findspark) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 72 Β· πŸ“¦ 5.6K Β· πŸ“‹ 23 - 47% open Β· ⏱️ 04.09.2025): @@ -7221,7 +7221,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/minrk/findspark ``` -- [PyPi](https://pypi.org/project/findspark) (πŸ“₯ 2.7M / month Β· πŸ“¦ 100 Β· ⏱️ 11.02.2022): +- [PyPi](https://pypi.org/project/findspark) (πŸ“₯ 2.6M / month Β· πŸ“¦ 100 Β· ⏱️ 11.02.2022): ``` pip install findspark ``` @@ -7237,7 +7237,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/vecxoz/vecstack ``` -- [PyPi](https://pypi.org/project/vecstack) (πŸ“₯ 1.9K / month Β· πŸ“¦ 5 Β· ⏱️ 28.09.2025): +- [PyPi](https://pypi.org/project/vecstack) (πŸ“₯ 1.8K / month Β· πŸ“¦ 5 Β· ⏱️ 28.09.2025): ``` pip install vecstack ``` @@ -7253,7 +7253,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 430 / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 200 / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -7265,19 +7265,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/jmschrei/apricot ``` -- [PyPi](https://pypi.org/project/apricot-select) (πŸ“₯ 15K / month Β· πŸ“¦ 16 Β· ⏱️ 18.02.2021): +- [PyPi](https://pypi.org/project/apricot-select) (πŸ“₯ 13K / month Β· πŸ“¦ 16 Β· ⏱️ 18.02.2021): ``` pip install apricot-select ```
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pykale (πŸ₯‰21 Β· ⭐ 480) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT +
pykale (πŸ₯‰21 Β· ⭐ 470) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 70 Β· πŸ“¦ 6 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 14.10.2025): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 93 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 72 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ``` @@ -7294,14 +7294,14 @@ _Libraries for connecting to, operating, and querying databases._ pip install suod ```
-
pymdp (πŸ₯‰17 Β· ⭐ 570) - A Python implementation of active inference for Markov Decision Processes. MIT +
pymdp (πŸ₯‰16 Β· ⭐ 570) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“‹ 120 - 41% open Β· ⏱️ 09.09.2025): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“‹ 130 - 39% open Β· ⏱️ 09.09.2025): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 1.4K / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 1.1K / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -7311,13 +7311,13 @@ _Libraries for connecting to, operating, and querying databases._ - pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. ❗Unlicensed - pysc2 (πŸ₯ˆ30 Β· ⭐ 8.2K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 - modAL (πŸ₯ˆ30 Β· ⭐ 2.3K Β· πŸ’€) - A modular active learning framework for Python. MIT +- datalad (πŸ₯ˆ30 Β· ⭐ 620 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-.. ❗Unlicensed - cleanlab (πŸ₯ˆ29 Β· ⭐ 11K) - Cleanlabs open-source library is the standard data-centric AI.. ❗️AGPL-3.0 -- alibi-detect (πŸ₯ˆ28 Β· ⭐ 2.4K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel +- alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.4K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - minisom (πŸ₯ˆ28 Β· ⭐ 1.6K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - PySwarms (πŸ₯ˆ28 Β· ⭐ 1.4K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT - kmodes (πŸ₯ˆ28 Β· ⭐ 1.3K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT - pyclustering (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 -- datalad (πŸ₯ˆ28 Β· ⭐ 610) - Keep code, data, containers under control with git and git-annex. ❗Unlicensed - Cython BLIS (πŸ₯ˆ28 Β· ⭐ 230) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - Feature Engine (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - metric-learn (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Metric learning algorithms in Python. MIT @@ -7336,9 +7336,9 @@ _Libraries for connecting to, operating, and querying databases._ - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - KD-Lib (πŸ₯‰15 Β· ⭐ 650 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT -- NeuralCompression (πŸ₯‰15 Β· ⭐ 580 Β· πŸ’€) - A collection of tools for neural compression enthusiasts. MIT +- NeuralCompression (πŸ₯‰14 Β· ⭐ 580 Β· πŸ’€) - A collection of tools for neural compression enthusiasts. MIT - traingenerator (πŸ₯‰13 Β· ⭐ 1.4K Β· πŸ’€) - A web app to generate template code for machine learning. MIT -- nylon (πŸ₯‰13 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT +- nylon (πŸ₯‰12 Β· ⭐ 82 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
--- diff --git a/history/2025-10-30_changes.md b/history/2025-10-30_changes.md new file mode 100644 index 0000000..30c713d --- /dev/null +++ b/history/2025-10-30_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- dask (πŸ₯‡45 Β· ⭐ 14K Β· πŸ“ˆ) - Parallel computing with task scheduling. BSD-3 +- spaCy (πŸ₯‡43 Β· ⭐ 33K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Faiss (πŸ₯‡42 Β· ⭐ 38K Β· πŸ“ˆ) - A library for efficient similarity search and clustering of dense vectors. MIT +- scikit-image (πŸ₯‡41 Β· ⭐ 6.4K Β· πŸ“ˆ) - Image processing in Python. ❗Unlicensed +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 27K Β· πŸ“ˆ) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- audioread (πŸ₯ˆ33 Β· ⭐ 520 Β· πŸ“ˆ) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +- datalad (πŸ₯ˆ30 Β· ⭐ 620 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-.. ❗Unlicensed +- Dedupe (πŸ₯ˆ29 Β· ⭐ 4.4K Β· πŸ“ˆ) - A python library for accurate and scalable fuzzy matching, record.. MIT +- openTSNE (πŸ₯‰29 Β· ⭐ 1.6K Β· πŸ“ˆ) - Extensible, parallel implementations of t-SNE. BSD-3 +- kapre (πŸ₯‰25 Β· ⭐ 930 Β· πŸ“ˆ) - kapre: Keras Audio Preprocessors. MIT + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- litellm (πŸ₯‡45 Β· ⭐ 30K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +- deepface (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ“‰) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +- DeepChem (πŸ₯ˆ34 Β· ⭐ 6.3K Β· πŸ“‰) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT +- VisPy (πŸ₯ˆ34 Β· ⭐ 3.5K Β· πŸ“‰) - High-performance interactive 2D/3D data visualization library. BSD-3 +- anomalib (πŸ₯ˆ31 Β· ⭐ 5.1K Β· πŸ“‰) - An anomaly detection library comprising state-of-the-art.. Apache-2 +- Haiku (πŸ₯‰31 Β· ⭐ 3.1K Β· πŸ“‰) - JAX-based neural network library. Apache-2 +- mpld3 (πŸ₯‰31 Β· ⭐ 2.4K Β· πŸ“‰) - An interactive data visualization tool which brings matplotlib.. BSD-3 +- CLTK (πŸ₯ˆ31 Β· ⭐ 870 Β· πŸ“‰) - The Classical Language Toolkit. MIT +- Sentinelsat (πŸ₯‰24 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- TorchUncertainty (πŸ₯‰20 Β· ⭐ 440 Β· πŸ“‰) - Open-source framework for uncertainty and deep.. Apache-2 + diff --git a/history/2025-10-30_projects.csv b/history/2025-10-30_projects.csv new file mode 100644 index 0000000..9e2344a --- /dev/null +++ b/history/2025-10-30_projects.csv @@ -0,0 +1,925 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,recent_commit_count,latest_stable_release_published_at,latest_stable_release_number,release_count,updated_github_id,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,trending,helm_id,brew_id,apt_id,yum_id,conda_dependent_project_count,dnf_id,yay_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2025-06-10 02:05:22.000000,2025-06-10 02:05:22,1585.0,816.0,114.0,368.0,91.0,156.0,5483.0,Benchmarks of approximate nearest neighbor libraries in Python.,112.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2025-10-23 23:29:34.000000,2025-10-23 23:29:33,375.0,192.0,56.0,220.0,3.0,4.0,2630.0,Collection of web-scraping and crawling libraries.,16.0,0,True,22.0,2025-10-23 23:29:39.000,2025.10.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/lukasmasuch/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-10-30 13:44:17.000000,2025-10-23 23:28:06,393.0,281.0,96.0,219.0,9.0,6.0,4203.0,Collection of data-loading and -extraction libraries.,14.0,0,True,25.0,2025-10-23 23:28:16.000,2025.10.23,100.0,lukasmasuch/best-of-python,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/lukasmasuch/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-10-30 13:44:17.000000,2025-10-23 23:28:06,393.0,281.0,96.0,219.0,9.0,6.0,4203.0,Collection of database clients for python.,14.0,0,True,25.0,2025-10-23 23:28:16.000,2025.10.23,100.0,lukasmasuch/best-of-python,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/lukasmasuch/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-10-30 13:44:17.000000,2025-10-23 23:28:06,393.0,281.0,96.0,219.0,9.0,6.0,4203.0,"Collection of data-container, dataframe, and pandas-utility libraries.",14.0,0,True,25.0,2025-10-23 23:28:16.000,2025.10.23,100.0,lukasmasuch/best-of-python,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/lukasmasuch/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-10-30 13:44:17.000000,2025-10-23 23:28:06,393.0,281.0,96.0,219.0,9.0,6.0,4203.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",14.0,0,True,25.0,2025-10-23 23:28:16.000,2025.10.23,100.0,lukasmasuch/best-of-python,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2025-10-30 14:03:41.000000,2025-10-30 13:58:33,186406.0,74902.0,7431.0,60343.0,1890.0,40089.0,195075.0,An Open Source Machine Learning Framework for Everyone.,4954.0,56,True,3343.0,2025-08-13 17:45:14.000,2.20.0,210.0,,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],549374.0,539817.0,https://pypi.org/project/tensorflow,2025-08-13 16:50:38.000,9557.0,26150095.0,26923724.0,https://anaconda.org/conda-forge/tensorflow,2025-10-27 01:39:31.677,6012719.0,https://hub.docker.com/r/tensorflow/tensorflow,2025-10-30 12:49:48.927274,2814.0,80704688.0,1.0,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2025-10-30 14:03:16.000000,2025-10-30 13:37:00,95186.0,25684.0,1771.0,111594.0,16998.0,39058.0,94399.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,6009.0,56,True,4006.0,2025-10-15 17:12:27.000,2.9.0,62.0,,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],857426.0,827538.0,https://pypi.org/project/torch,2025-10-15 15:45:59.000,29888.0,69755346.0,70347083.0,https://anaconda.org/pytorch/pytorch,2025-03-25 16:24:31.802,28946049.0,,,,,1.0,109287.0,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2025-10-30 14:10:48.000000,2025-10-30 12:23:54,21001.0,30989.0,1165.0,23226.0,2115.0,17032.0,151844.0,"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and..",3634.0,54,True,1121.0,2025-10-14 15:39:34.000,4.57.1,201.0,,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",414590.0,403571.0,https://pypi.org/project/transformers,2025-10-14 15:39:23.000,11019.0,93482259.0,93535234.0,https://anaconda.org/conda-forge/transformers,2025-10-14 17:20:28.224,3337425.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +9,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2025-10-30 14:04:40.000000,2025-10-30 14:04:40,33088.0,26363.0,2120.0,19693.0,2153.0,10186.0,63864.0,scikit-learn: machine learning in Python.,3434.0,53,True,394.0,2025-09-09 08:57:24.000,1.7.2,88.0,,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1362273.0,1327296.0,https://pypi.org/project/scikit-learn,2025-09-09 08:20:19.000,34977.0,140800983.0,141421042.0,https://anaconda.org/conda-forge/scikit-learn,2025-09-09 16:17:03.021,40303268.0,,,,,1.0,1062.0,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2025-10-30 14:33:00.000000,2025-10-30 14:32:59,36208.0,5522.0,344.0,12771.0,1787.0,9606.0,14137.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1842.0,51,True,471.0,2025-10-28 17:42:20.000,1.16.3,120.0,,scipy,conda-forge/scipy,,,,1465281.0,1404087.0,https://pypi.org/project/scipy,2025-10-28 17:31:47.000,61194.0,216338747.0,217527370.0,https://anaconda.org/conda-forge/scipy,2025-10-29 01:53:37.789,70079689.0,,,,,1.0,97369.0,,,,,,,,,,,,,,,,,, +11,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2025-10-30 04:43:25.000000,2025-10-30 04:43:25,11770.0,19638.0,1870.0,8433.0,268.0,12352.0,63519.0,Deep Learning for humans.,1440.0,50,True,141.0,2025-10-27 20:23:09.000,3.12.0,114.0,,keras,conda-forge/keras,,https://keras.io,['tensorflow'],306599.0,304564.0,https://pypi.org/project/keras,2025-10-27 20:23:09.000,2035.0,18904653.0,18974600.0,https://anaconda.org/conda-forge/keras,2025-10-28 01:59:07.277,4476623.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +12,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2025-10-30 08:21:43.000000,2025-10-30 08:21:43,53365.0,8060.0,584.0,19636.0,1630.0,9802.0,21900.0,matplotlib: plotting with Python.,1856.0,49,True,322.0,2025-10-09 00:26:06.000,3.10.7,136.0,,matplotlib,conda-forge/matplotlib,,,,1925693.0,1857411.0,https://pypi.org/project/matplotlib,2025-10-09 00:26:06.000,68282.0,123026521.0,123548865.0,https://anaconda.org/conda-forge/matplotlib,2025-10-15 21:28:30.386,33430031.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +13,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2025-10-30 02:07:15.000000,2025-10-30 02:07:15,61218.0,4773.0,284.0,14244.0,5415.0,9215.0,14048.0,A computer algebra system written in pure Python.,1415.0,49,True,490.0,2025-04-27 18:05:25.000,1.14.0,67.0,,sympy,conda-forge/sympy,,,,290819.0,286256.0,https://pypi.org/project/sympy,2025-04-27 18:04:59.000,4563.0,72627861.0,72795073.0,https://anaconda.org/conda-forge/sympy,2025-04-29 17:03:51.938,10618467.0,,,,,1.0,566098.0,,,,,,,,,,,,,,,,,, +14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2025-10-28 14:44:55.327000,2025-10-27 13:19:54,20128.0,2342.0,216.0,5704.0,109.0,3294.0,13159.0,Python Imaging Library (Fork).,491.0,49,True,247.0,2025-10-15 18:27:27.000,12.0.0,104.0,,Pillow,conda-forge/pillow,,,,2413880.0,2394212.0,https://pypi.org/project/Pillow,2025-10-15 18:21:27.000,19668.0,221358415.0,222343665.0,https://anaconda.org/conda-forge/pillow,2025-10-28 14:44:55.327,62070756.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +15,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2025-10-30 14:19:01.000000,2025-10-30 14:00:01,27805.0,6842.0,481.0,36217.0,3200.0,18925.0,39602.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1387.0,48,True,1548.0,2025-10-29 05:33:49.000,ray-2.51.0,137.0,,ray,conda-forge/ray-tune,,,,27674.0,26577.0,https://pypi.org/project/ray,2025-10-29 05:06:50.000,1097.0,30017595.0,30033392.0,https://anaconda.org/conda-forge/ray-tune,2025-10-22 09:47:50.322,916063.0,,,,,1.0,267.0,,,,,,,,,,,,,,,,,, +16,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2025-10-30 14:43:53.000000,2025-10-30 14:35:09,8470.0,3840.0,320.0,7205.0,1325.0,4413.0,42005.0,Streamlit A faster way to build and share data apps.,569.0,47,True,428.0,2025-10-29 17:07:44.000,1.51.0,254.0,,streamlit,,,,,1003783.0,999171.0,https://pypi.org/project/streamlit,2025-10-29 17:07:35.000,4612.0,19349109.0,19349109.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +17,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2025-10-30 13:10:58.000000,2025-10-30 11:16:44,9252.0,4937.0,314.0,13446.0,2043.0,3173.0,22734.0,The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI..,910.0,47,True,930.0,2025-10-22 19:07:21.000,3.5.1,159.0,,mlflow,conda-forge/mlflow,,,,67131.0,65816.0,https://pypi.org/project/mlflow,2025-10-22 18:11:44.000,1315.0,25671532.0,25728823.0,https://anaconda.org/conda-forge/mlflow,2025-10-24 10:28:28.001,3666674.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +18,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2025-10-28 14:59:26.000000,2025-10-28 13:56:45,8280.0,2721.0,277.0,1969.0,720.0,2588.0,17901.0,The interactive graphing library for Python.,298.0,47,True,111.0,2025-10-02 16:10:22.000,6.3.1,311.0,,plotly,conda-forge/plotly,,,,469595.0,459852.0,https://pypi.org/project/plotly,2025-10-02 16:10:22.000,9734.0,37284681.0,37465859.0,https://anaconda.org/conda-forge/plotly,2025-10-03 02:15:51.222,11597447.0,,,,,1.0,552.0,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,2752.0,,,,,,,,,,,,, +19,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2025-10-22 02:49:30.000000,2025-10-22 02:49:30,14822.0,2963.0,444.0,1547.0,270.0,1611.0,14363.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,477.0,47,True,45.0,2025-10-01 07:19:21.000,3.9.2,64.0,,nltk,conda-forge/nltk,,,,416403.0,410114.0,https://pypi.org/project/nltk,2025-10-01 07:19:21.000,6289.0,41845434.0,41907901.0,https://anaconda.org/conda-forge/nltk,2025-10-01 15:16:27.009,3435708.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +20,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2025-10-29 22:36:36.000000,2025-10-29 13:47:21,8118.0,3114.0,187.0,5656.0,409.0,5706.0,40358.0,"Wrap UIs around any model, share with anyone.",700.0,46,True,199.0,2025-10-08 20:18:34.000,5.49.1,680.0,,gradio,,,,,85285.0,83675.0,https://pypi.org/project/gradio,2025-10-22 11:51:59.000,1610.0,10757301.0,10757301.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +21,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2025-10-30 04:25:07.000000,2025-10-30 04:25:07,7578.0,8817.0,891.0,6187.0,474.0,5150.0,27550.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",671.0,46,True,89.0,2025-10-21 23:08:33.000,3.1.1,96.0,,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,170567.0,167689.0,https://pypi.org/project/xgboost,2025-10-21 23:08:33.000,2878.0,31229222.0,31334485.0,https://anaconda.org/conda-forge/xgboost,2025-09-16 10:15:26.197,6622697.0,,,,,1.0,19680.0,,,,,,,,,,,,,,,,,, +22,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2025-10-30 13:12:08.000000,2025-10-30 12:04:58,56094.0,5864.0,710.0,56843.0,1680.0,18029.0,23363.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1451.0,46,True,1154.0,2025-09-08 13:41:01.000,3.2.0,78.0,,paddlepaddle,,,,['paddle'],9104.0,8825.0,https://pypi.org/project/paddlepaddle,2025-10-30 13:12:08.000,279.0,1553924.0,1554064.0,,,,,,,,1.0,15463.0,,,,,,,,,,,,,,,,,, +23,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2025-10-29 00:50:13.000000,2025-10-29 00:50:12,8139.0,3392.0,276.0,4353.0,388.0,3143.0,16295.0,Network Analysis in Python.,794.0,46,True,98.0,2025-05-29 11:58:31.000,networkx-3.5,100.0,,networkx,conda-forge/networkx,,,,442370.0,430743.0,https://pypi.org/project/networkx,2025-05-29 11:35:04.000,11627.0,131187173.0,131600136.0,https://anaconda.org/conda-forge/networkx,2025-06-04 23:05:28.954,25603720.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,, +24,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2025-10-30 14:08:52.000000,2025-10-30 08:37:08,31548.0,3201.0,324.0,23039.0,1621.0,5023.0,33831.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",980.0,45,True,2110.0,2025-10-15 23:38:34.000,jax-v0.8.0,183.0,jax-ml/jax,jax,conda-forge/jaxlib,,,,49998.0,46932.0,https://pypi.org/project/jax,2025-10-15 23:10:09.000,3066.0,11637308.0,11687522.0,https://anaconda.org/conda-forge/jaxlib,2025-10-06 16:03:41.856,3213725.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +25,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2025-10-30 11:34:19.000000,2025-10-30 02:13:19,26917.0,4522.0,142.0,8143.0,1335.0,6450.0,30491.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",955.0,45,True,3130.0,2025-10-29 23:40:01.000,1.77.7.de3,1244.0,,litellm,,,,others,19211.0,17330.0,https://pypi.org/project/litellm,2025-10-29 16:07:21.000,1881.0,33644090.0,33644488.0,,,,,,,,1.0,796.0,,,,,,-1.0,,,,,,,,,,,, +26,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2025-10-29 17:09:29.000000,2025-10-29 17:09:28,10902.0,3583.0,251.0,10850.0,821.0,6613.0,30352.0,"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.",1044.0,45,True,208.0,2025-09-05 16:01:16.000,2.5.5,291.0,Lightning-AI/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],50336.0,48489.0,https://pypi.org/project/pytorch-lightning,2025-09-05 16:01:16.000,1847.0,9824826.0,9852061.0,https://anaconda.org/conda-forge/pytorch-lightning,2025-09-05 19:54:11.216,1723230.0,,,,,1.0,15226.0,,,,,,,,,,,,,,,,,, +27,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2025-10-29 15:00:09.000000,2025-10-21 19:44:04,8741.0,2225.0,422.0,1356.0,577.0,1489.0,24207.0,Data Apps & Dashboards for Python. No JavaScript Required.,189.0,45,True,94.0,2025-07-31 19:20:26.000,3.2.0,200.0,,dash,conda-forge/dash,,,,91146.0,89225.0,https://pypi.org/project/dash,2025-10-22 17:29:27.000,1921.0,5452849.0,5485259.0,https://anaconda.org/conda-forge/dash,2025-08-11 10:03:34.775,2074204.0,,,,,1.0,118.0,,,,,,,,,,,,,,,,,, +28,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2025-10-30 00:08:24.000000,2025-10-28 20:20:12,20861.0,4238.0,426.0,6429.0,836.0,7234.0,20155.0,"Interactive Data Visualization in the browser, from Python.",716.0,45,True,56.0,2025-08-29 12:16:52.000,3.8.0,248.0,,bokeh,conda-forge/bokeh,,,,106543.0,104387.0,https://pypi.org/project/bokeh,2025-10-13 07:34:05.000,2156.0,5049303.0,5327084.0,https://anaconda.org/conda-forge/bokeh,2025-08-30 08:43:51.245,17778005.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +29,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2025-10-30 14:08:42.000000,2025-10-29 23:18:17,5102.0,2348.0,201.0,6431.0,808.0,1154.0,17408.0,Development repository for the Triton language and compiler.,480.0,45,True,519.0,2025-10-21 10:00:38.000,3.5.0,201.0,triton-lang/triton,triton,,,,,75002.0,74465.0,https://pypi.org/project/triton,2025-10-13 16:37:49.000,537.0,40796728.0,40797184.0,,,,,,,,1.0,1368.0,,,,,,,,,,,,,,,,,, +30,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2025-10-29 17:51:50.000000,2025-10-29 17:51:50,9636.0,1815.0,206.0,6376.0,1192.0,4449.0,13560.0,Parallel computing with task scheduling.,630.0,45,True,45.0,2025-10-14 19:50:21.000,2025.10.0,225.0,,dask,conda-forge/dask,,,,80705.0,77473.0,https://pypi.org/project/dask,2025-10-14 19:50:21.000,3232.0,19955955.0,20176884.0,https://anaconda.org/conda-forge/dask,2025-10-14 23:26:41.666,14360435.0,,,,,1.0,,,,,,,1.0,stable/dask,,,,,,,,,,, +31,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2025-10-22 17:12:21.000000,2025-10-22 17:12:21,15879.0,3280.0,283.0,4067.0,2924.0,2849.0,11044.0,Statsmodels: statistical modeling and econometrics in Python.,467.0,45,True,135.0,2025-07-07 12:05:08.000,0.14.5,40.0,,statsmodels,conda-forge/statsmodels,,,,184531.0,178947.0,https://pypi.org/project/statsmodels,2025-07-07 12:05:08.000,5584.0,23644847.0,23990752.0,https://anaconda.org/conda-forge/statsmodels,2025-10-01 05:55:58.268,22137960.0,,,,,1.0,36.0,,,,,,,,,,,,,,,,,, +32,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2025-10-30 02:42:35.000000,2025-10-30 02:41:31,6749.0,9174.0,492.0,3735.0,203.0,9965.0,62022.0,"Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the..",317.0,44,True,72.0,2025-10-29 11:49:59.000,3.3.1,59.0,,paddleocr,,,,['paddle'],6397.0,6187.0,https://pypi.org/project/paddleocr,2025-10-29 11:49:59.000,210.0,748469.0,781529.0,,,,,,,,1.0,2016662.0,,,,,,,,,,,,,,,,,, +33,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2025-10-30 13:58:31.000000,2025-10-30 13:58:16,45875.0,28900.0,2011.0,52756.0,216.0,,42193.0,Apache Spark Python API.,3308.0,44,True,802.0,2025-09-23 19:46:10.000,3.5.7,58.0,,pyspark,conda-forge/pyspark,,,['spark'],2080.0,,https://pypi.org/project/pyspark,2025-10-30 00:40:12.000,2080.0,47220198.0,47286531.0,https://anaconda.org/conda-forge/pyspark,2025-09-08 08:26:11.689,4245342.0,,,,,2.0,,,,,,,,stable/spark,,,,,,,,,,, +34,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2025-10-30 06:18:47.000000,2025-10-30 06:18:47,20125.0,1173.0,121.0,4106.0,56.0,1727.0,12941.0,A hyperparameter optimization framework.,323.0,44,True,425.0,2025-08-18 06:49:20.000,4.5.0,75.0,,optuna,conda-forge/optuna,,,,31293.0,29801.0,https://pypi.org/project/optuna,2025-08-18 06:49:20.000,1492.0,7635087.0,7688238.0,https://anaconda.org/conda-forge/optuna,2025-08-19 05:22:25.570,3401698.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +35,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2025-10-30 13:24:59.000000,2025-10-30 08:19:18,8586.0,787.0,59.0,7074.0,688.0,3024.0,10469.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",223.0,44,True,357.0,2025-10-29 00:00:30.000,0.22.3,323.0,wandb/wandb,wandb,conda-forge/wandb,,,,86576.0,84252.0,https://pypi.org/project/wandb,2025-10-28 23:58:46.000,2324.0,20038476.0,20058171.0,https://anaconda.org/conda-forge/wandb,2025-10-30 07:48:05.211,1239243.0,,,,,1.0,1246.0,,,,,,,,,,,,,,,,,, +36,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2025-10-30 11:44:10.000000,2025-10-30 09:40:09,23367.0,3487.0,312.0,27186.0,811.0,13695.0,38278.0,"Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search.",334.0,43,True,507.0,2025-10-21 07:54:24.000,2.6.4,130.0,,pymilvus,,milvusdb/milvus,,,349.0,,https://pypi.org/project/pymilvus,2025-09-19 07:02:12.000,349.0,3311610.0,4307021.0,,,,https://hub.docker.com/r/milvusdb/milvus,2025-10-30 11:39:37.686470,90.0,72097465.0,1.0,287690.0,,,,,,,,,,,,,,,,,, +37,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2025-10-28 08:43:48.000000,2025-10-28 08:43:47,16250.0,4527.0,563.0,4071.0,196.0,5554.0,32737.0,Industrial-strength Natural Language Processing (NLP) in Python.,776.0,43,True,4.0,2025-05-23 08:54:03.000,3.8.7,242.0,,spacy,conda-forge/spacy,,,,143736.0,140544.0,https://pypi.org/project/spacy,2025-05-23 08:54:03.000,3192.0,17220030.0,17322363.0,https://anaconda.org/conda-forge/spacy,2025-07-06 12:34:02.785,6545973.0,,,,,1.0,4880.0,,,,,,1.0,,,,,,,,,,,, +38,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2025-10-29 10:29:18.000000,2025-10-29 10:29:16,3444.0,3816.0,425.0,4124.0,284.0,2809.0,19796.0,Open standard for machine learning interoperability.,365.0,43,True,151.0,2025-10-10 03:59:47.000,1.19.1,39.0,,onnx,conda-forge/onnx,,,,50956.0,49373.0,https://pypi.org/project/onnx,2025-10-10 03:59:47.000,1583.0,13429749.0,13463111.0,https://anaconda.org/conda-forge/onnx,2025-10-11 07:08:08.267,2118608.0,,,,,1.0,24923.0,,,,,,,,,,,,,,,,,, +39,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2025-10-29 20:27:43.000000,2025-10-29 20:25:57,5249.0,2178.0,1661.0,5210.0,451.0,2809.0,13550.0,WebGL2 powered visualization framework.,306.0,43,True,49.0,2025-10-16 22:27:27.917,9.2.2,708.0,,pydeck,conda-forge/pydeck,,,['jupyter'],9754.0,9241.0,https://pypi.org/project/pydeck,2025-03-21 15:25:17.000,157.0,15913813.0,16674919.0,https://anaconda.org/conda-forge/pydeck,2025-04-22 14:57:20.802,846775.0,,,,,1.0,,deck.gl,https://www.npmjs.com/package/deck.gl,2025-10-16 22:27:27.917,356.0,747666.0,,,,,,,,,,,,, +40,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2025-10-24 21:41:56.630000,2025-10-22 14:46:56,1865.0,1214.0,94.0,1898.0,105.0,1817.0,9250.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",370.0,43,True,51.0,2025-10-20 16:08:58.000,1.11.0,79.0,,accelerate,conda-forge/accelerate,,,['pytorch'],108067.0,105243.0,https://pypi.org/project/accelerate,2025-10-20 14:42:23.000,2824.0,17162005.0,17175961.0,https://anaconda.org/conda-forge/accelerate,2025-10-24 21:41:56.630,669932.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +41,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2025-10-30 04:21:20.000000,2025-10-30 04:18:26,1614.0,3999.0,490.0,1663.0,254.0,2464.0,37712.0,A library for efficient similarity search and clustering of dense vectors.,256.0,42,True,78.0,2025-09-19 07:02:12.000,2.5.16,130.0,,pymilvus,conda-forge/faiss,,,,5311.0,4962.0,https://pypi.org/project/pymilvus,2025-09-19 07:02:12.000,349.0,3311610.0,3359011.0,https://anaconda.org/conda-forge/faiss,2025-04-22 14:57:26.087,3033689.0,,,,,1.0,,,,,,,1.0,,,,,,,,,,,, +42,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2025-10-30 00:16:32.000000,2025-10-30 00:16:32,2985.0,5051.0,314.0,668.0,50.0,958.0,35620.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",182.0,42,True,81.0,2025-10-24 22:39:31.000,1.0.21,72.0,huggingface/pytorch-image-models,timm,conda-forge/timm,,,['pytorch'],63210.0,61751.0,https://pypi.org/project/timm,2025-10-24 22:37:55.000,1459.0,11411004.0,11527292.0,https://anaconda.org/conda-forge/timm,2025-10-24 23:44:54.030,471333.0,,,,,1.0,8378199.0,,,,,,,,,,,,,,,,,, +43,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2025-10-30 13:20:49.000000,2025-10-30 13:20:45,2875.0,3432.0,241.0,1117.0,615.0,2043.0,24636.0,A game theoretic approach to explain the output of any machine learning model.,281.0,42,True,19.0,2025-10-14 10:04:08.000,0.49.1,109.0,shap/shap,shap,conda-forge/shap,,,,36657.0,35506.0,https://pypi.org/project/shap,2025-10-14 10:04:08.000,1151.0,9512200.0,9642028.0,https://anaconda.org/conda-forge/shap,2025-06-17 14:18:04.461,7530051.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +44,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2025-10-26 11:41:10.000000,2025-09-18 19:05:18,1628.0,2811.0,261.0,786.0,154.0,1514.0,19646.0,Download market data from Yahoo! Finances API.,141.0,42,True,22.0,2025-09-17 11:22:33.000,0.2.66,138.0,,yfinance,ranaroussi/yfinance,,,,86941.0,85774.0,https://pypi.org/project/yfinance,2025-09-17 11:22:33.000,1167.0,5884072.0,5886004.0,https://anaconda.org/ranaroussi/yfinance,2025-03-25 16:27:42.706,98548.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +45,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2025-10-30 04:13:44.000000,2025-10-28 11:21:52,3734.0,3946.0,428.0,3463.0,467.0,3174.0,17786.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",334.0,42,True,45.0,2025-02-15 04:02:50.000,4.6.0,39.0,,lightgbm,conda-forge/lightgbm,,,,57902.0,56317.0,https://pypi.org/project/lightgbm,2025-02-15 04:02:50.000,1585.0,11242006.0,11312351.0,https://anaconda.org/conda-forge/lightgbm,2025-10-20 21:06:33.935,4105295.0,,,,,2.0,310721.0,,,,,,,,,,,,,,,,,, +46,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/huggingface/sentence-transformers,https://github.com/huggingface/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2025-10-22 15:01:48.727000,2025-10-22 10:47:00,2387.0,2700.0,144.0,797.0,1281.0,1194.0,17786.0,State-of-the-Art Text Embeddings.,244.0,42,True,39.0,2025-10-22 13:00:25.000,5.1.2,69.0,huggingface/sentence-transformers,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],127725.0,124012.0,https://pypi.org/project/sentence-transformers,2025-10-22 12:47:53.000,3713.0,16926314.0,16943080.0,https://anaconda.org/conda-forge/sentence-transformers,2025-10-22 15:01:48.727,1022766.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +47,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2025-10-30 11:35:11.000000,2025-10-27 10:23:46,4124.0,7160.0,462.0,5686.0,1134.0,2645.0,17265.0,"Datasets, Transforms and Models specific to Computer Vision.",665.0,42,True,33.0,2025-10-15 17:30:18.000,0.24.0,54.0,,torchvision,conda-forge/torchvision,,,['pytorch'],8390.0,21.0,https://pypi.org/project/torchvision,2025-10-15 15:51:08.000,8369.0,26044714.0,26101543.0,https://anaconda.org/conda-forge/torchvision,2025-10-23 23:22:56.360,3103416.0,,,,,1.0,41301.0,,,,,,,,,,,,,,,,,, +48,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2025-10-18 01:47:12.000000,2025-10-16 11:13:19,4594.0,4412.0,412.0,1727.0,395.0,1478.0,16248.0,Topic Modelling for Humans.,463.0,42,True,18.0,2025-10-18 01:47:12.000,4.4.0,95.0,piskvorky/gensim,gensim,conda-forge/gensim,,,,79287.0,77692.0,https://pypi.org/project/gensim,2025-10-18 01:47:12.000,1595.0,5157548.0,5189587.0,https://anaconda.org/conda-forge/gensim,2025-04-22 14:56:41.039,1759257.0,,,,,1.0,6423.0,,,,,,,,,,,,,,,,,, +49,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2025-10-28 03:33:52.000000,2025-10-28 03:33:51,9505.0,1248.0,130.0,5693.0,212.0,4672.0,15036.0,Data Versioning and ML Experiments.,321.0,42,True,52.0,2025-09-02 13:35:33.000,3.63.0,549.0,,dvc,conda-forge/dvc,,,,24455.0,24311.0,https://pypi.org/project/dvc,2025-09-02 13:35:33.000,144.0,1452748.0,1501652.0,https://anaconda.org/conda-forge/dvc,2025-09-02 21:21:31.730,3129877.0,,,,,1.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +50,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2025-09-25 14:30:57.000000,2025-09-25 14:30:56,1530.0,1932.0,253.0,786.0,52.0,1601.0,14035.0,Video editing with Python.,191.0,42,True,12.0,2025-05-21 19:31:50.000,2.2.1,91.0,,moviepy,conda-forge/moviepy,,,,67881.0,66689.0,https://pypi.org/project/moviepy,2025-05-21 19:31:50.000,1192.0,4323202.0,4326811.0,https://anaconda.org/conda-forge/moviepy,2025-04-22 14:56:38.733,357358.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +51,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2025-07-10 13:20:45.000000,2025-07-10 13:20:45,3243.0,1998.0,249.0,1149.0,177.0,2470.0,13524.0,Statistical data visualization in Python.,216.0,42,True,,2024-01-25 13:21:49.000,0.13.2,37.0,,seaborn,conda-forge/seaborn,,,,711785.0,700942.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,31351095.0,31582097.0,https://anaconda.org/conda-forge/seaborn,2025-04-22 14:56:26.328,14783938.0,,,,,1.0,514.0,,,,,,,,,,,,,,,,,, +52,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2025-10-04 02:40:16.000000,2025-10-04 02:40:15,1102.0,1288.0,119.0,356.0,27.0,775.0,11403.0,Unsupervised text tokenizer for Neural Network-based text generation.,101.0,42,True,91.0,2025-08-12 06:59:12.000,0.2.1,36.0,,sentencepiece,conda-forge/sentencepiece,,,,123537.0,121114.0,https://pypi.org/project/sentencepiece,2025-08-12 06:59:12.000,2423.0,31106925.0,31135591.0,https://anaconda.org/conda-forge/sentencepiece,2025-09-22 11:05:31.712,1723300.0,,,,,1.0,112954.0,,,,,,,,,,,,,,,,,, +53,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2025-10-30 07:07:55.000000,2025-10-30 07:07:50,49858.0,1229.0,184.0,436.0,628.0,1840.0,8641.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1359.0,42,True,268.0,2025-04-13 10:45:50.000,1.2.8,114.0,,catboost,conda-forge/catboost,,,,673.0,19.0,https://pypi.org/project/catboost,2025-04-13 10:12:07.000,654.0,5127632.0,5170463.0,https://anaconda.org/conda-forge/catboost,2025-08-09 21:25:38.276,2244447.0,,,,,2.0,464707.0,,,,,,,,,,,,,,,,,, +54,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/deepspeedai/DeepSpeed,https://github.com/deepspeedai/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2025-10-30 06:08:24.000000,2025-10-29 00:10:31,2969.0,4590.0,347.0,3498.0,1128.0,2108.0,40563.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",425.0,41,True,105.0,2025-10-23 16:40:57.000,0.18.1,117.0,deepspeedai/DeepSpeed,deepspeed,,deepspeed/deepspeed,,['pytorch'],15137.0,14788.0,https://pypi.org/project/deepspeed,2025-10-23 16:40:57.000,349.0,994227.0,994574.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,23979.0,1.0,,,,,,,,,,,,,,,,,,, +55,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2025-10-26 23:05:39.000000,2025-10-26 23:05:36,2886.0,7650.0,612.0,2274.0,264.0,1602.0,27556.0,The fastai deep learning library.,678.0,41,True,26.0,2025-10-26 23:05:33.000,2.8.5,159.0,,fastai,,,,['pytorch'],23600.0,23259.0,https://pypi.org/project/fastai,2025-10-26 23:05:33.000,341.0,639846.0,639846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +56,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2025-10-29 22:55:18.000000,2025-10-29 22:55:16,7901.0,3901.0,252.0,3652.0,1227.0,2736.0,23064.0,Graph Neural Network Library for PyTorch.,558.0,41,True,54.0,2025-10-15 20:48:01.000,2.7.0,47.0,,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],11262.0,10528.0,https://pypi.org/project/torch-geometric,2025-10-15 20:48:01.000,734.0,935279.0,938263.0,https://anaconda.org/conda-forge/pytorch_geometric,2025-10-16 05:24:23.002,188052.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +57,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2025-10-27 08:05:58.000000,2025-10-27 08:05:58,3909.0,802.0,134.0,1610.0,136.0,1965.0,10085.0,Declarative visualization library for Python.,181.0,41,True,19.0,2024-11-24 00:12:10.000,5.5.0,43.0,vega/altair,altair,conda-forge/altair,,,,243721.0,242805.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,37327803.0,37392321.0,https://anaconda.org/conda-forge/altair,2025-04-22 14:56:25.338,2967763.0,,,,,1.0,280.0,,,,,,,,,,,,,,,,,, +58,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2025-10-29 16:16:07.000000,2025-10-28 23:30:35,5760.0,1677.0,108.0,5454.0,1211.0,1856.0,9314.0,A unified framework for machine learning with time series.,518.0,41,True,212.0,2025-09-25 22:20:24.000,0.39.0,97.0,sktime/sktime,sktime,conda-forge/sktime-all-extras,,,['sklearn'],4870.0,4708.0,https://pypi.org/project/sktime,2025-09-25 22:20:24.000,162.0,1027883.0,1050904.0,https://anaconda.org/conda-forge/sktime-all-extras,2025-09-18 12:07:59.228,1174051.0,,,,,1.0,111.0,,,,,,,,,,,,,,,,,, +59,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2025-10-28 02:23:01.000000,2025-08-12 00:02:13,5913.0,1685.0,185.0,5098.0,704.0,1246.0,7018.0,TensorFlows Visualization Toolkit.,328.0,41,True,1.0,2025-07-17 19:20:49.000,2.20.0,65.0,,tensorboard,conda-forge/tensorboard,,,['tensorflow'],335839.0,333052.0,https://pypi.org/project/tensorboard,2025-07-17 19:20:49.000,2787.0,31398937.0,31492811.0,https://anaconda.org/conda-forge/tensorboard,2025-07-18 07:57:49.537,6007964.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +60,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2025-10-26 17:04:04.000000,2025-10-26 17:04:04,14444.0,2261.0,175.0,4739.0,809.0,2202.0,6375.0,Image processing in Python.,687.0,41,False,59.0,2025-02-18 18:05:27.000,0.25.2,74.0,,scikit-image,conda-forge/scikit-image,,,,247269.0,240318.0,https://pypi.org/project/scikit-image,2025-02-18 18:04:11.000,6951.0,19675415.0,19812952.0,https://anaconda.org/conda-forge/scikit-image,2025-09-07 15:56:20.708,8802382.0,,,,,1.0,,,,,,,1.0,,,,,,,,,,,, +61,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2025-10-30 01:06:46.236000,2025-10-29 17:52:10,4286.0,1200.0,129.0,3514.0,350.0,1292.0,2201.0,A library for training and deploying machine learning models on Amazon SageMaker.,500.0,41,True,47.0,2025-10-29 15:23:14.000,2.254.0,648.0,,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",6457.0,6250.0,https://pypi.org/project/sagemaker,2025-10-29 15:23:14.000,207.0,27464134.0,27492556.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2025-10-30 01:06:46.236,1762165.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +62,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2025-04-22 14:57:24.136000,2023-01-30 18:15:21,1757.0,8670.0,1045.0,1467.0,125.0,1726.0,36722.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,False,,2023-07-20 15:30:49.667,0.0.1,108.0,,gym,conda-forge/gym,,,,70107.0,68559.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,8582477.0,8588833.0,https://anaconda.org/conda-forge/gym,2025-04-22 14:57:24.136,419514.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +63,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2025-10-30 03:21:55.096000,2025-10-11 19:04:01,8344.0,3428.0,474.0,775.0,45.0,2204.0,14205.0,A toolkit for making real world machine learning and data analysis applications in C++.,208.0,40,False,13.0,2025-05-28 01:22:16.000,20.0.0,42.0,,dlib,conda-forge/dlib,,,,39924.0,39686.0,https://pypi.org/project/dlib,2025-05-28 01:22:16.000,238.0,162751.0,184978.0,https://anaconda.org/conda-forge/dlib,2025-10-30 03:21:55.096,1409348.0,,,,,2.0,25638.0,,,,,,,,,,,,,,,,,, +64,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2025-10-16 09:22:48.000000,2025-10-16 09:22:48,1905.0,968.0,122.0,764.0,107.0,1012.0,10194.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,126.0,40,True,19.0,2025-09-19 09:52:24.000,0.22.1,118.0,,tokenizers,conda-forge/tokenizers,,,,186267.0,184575.0,https://pypi.org/project/tokenizers,2025-09-19 09:48:56.000,1692.0,80538026.0,80595277.0,https://anaconda.org/conda-forge/tokenizers,2025-09-19 16:36:54.809,3606809.0,,,,,1.0,86.0,,,,,,,,,,,,,,,,,, +65,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2025-10-28 16:19:49.000000,2025-10-28 09:01:17,10326.0,2141.0,217.0,4322.0,414.0,3137.0,9330.0,Bayesian Modeling and Probabilistic Programming in Python.,532.0,40,True,18.0,2025-10-17 11:39:42.000,5.26.1,100.0,,pymc3,conda-forge/pymc3,,,,7886.0,7694.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,326472.0,339894.0,https://anaconda.org/conda-forge/pymc3,2025-04-22 14:56:28.348,858981.0,,,,,1.0,136.0,,,,,,,,,,,,,,,,,, +66,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2025-10-30 13:21:50.000000,2025-10-06 16:31:48,2048.0,2246.0,159.0,992.0,75.0,1105.0,7256.0,Python Data. Leaflet.js Maps.,176.0,40,True,27.0,2025-06-16 20:22:50.000,0.20.0,42.0,,folium,conda-forge/folium,,,,65554.0,64534.0,https://pypi.org/project/folium,2025-06-16 20:22:50.000,1020.0,2761761.0,2839408.0,https://anaconda.org/conda-forge/folium,2025-06-16 22:46:07.761,4425901.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +67,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2025-10-28 18:10:10.496000,2025-10-28 08:26:51,2416.0,600.0,85.0,981.0,245.0,1048.0,4285.0,Manipulation and analysis of geometric objects.,171.0,40,True,16.0,2025-09-24 13:50:00.000,2.1.2,130.0,,shapely,conda-forge/shapely,,,,118745.0,114005.0,https://pypi.org/project/shapely,2025-09-24 13:50:00.000,4740.0,61563844.0,61788337.0,https://anaconda.org/conda-forge/shapely,2025-10-28 18:10:10.496,13913476.0,,,,,1.0,3999.0,,,,,,,,,,,,,,,,,, +68,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2025-10-30 15:09:02.000000,2025-10-30 15:09:00,1981.0,830.0,64.0,2044.0,150.0,1186.0,3017.0,The official Python client for the Hugging Face Hub.,278.0,40,True,70.0,2025-10-28 12:49:32.000,1.0.1,215.0,,huggingface_hub,conda-forge/huggingface_hub,,,,4114.0,,https://pypi.org/project/huggingface_hub,2025-10-28 12:48:41.000,4114.0,118902313.0,118976934.0,https://anaconda.org/conda-forge/huggingface_hub,2025-10-28 15:15:32.531,4178813.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +69,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2025-10-30 13:08:32.000000,2025-10-30 12:55:12,37220.0,13740.0,930.0,27158.0,210.0,,25424.0,Apache Flink Python API.,2051.0,39,True,208.0,2025-10-28 07:01:08.000,2.1.1,58.0,,apache-flink,,,,,59.0,21.0,https://pypi.org/project/apache-flink,2025-10-28 10:08:22.000,38.0,453986.0,453986.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +70,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2025-10-30 09:51:34.000000,2025-10-30 09:51:34,2973.0,1063.0,123.0,2165.0,335.0,694.0,10817.0,Geometric Computer Vision Library for Spatial AI.,298.0,39,True,67.0,2025-05-08 11:13:22.000,0.8.1,43.0,,kornia,conda-forge/kornia,,,['pytorch'],17193.0,16850.0,https://pypi.org/project/kornia,2025-05-08 11:13:22.000,343.0,2959977.0,2964466.0,https://anaconda.org/conda-forge/kornia,2025-05-08 14:44:56.729,258928.0,,,,,1.0,2166.0,,,,,,,,,,,,,,,,,, +71,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2025-10-30 14:53:38.000000,2025-10-29 23:36:32,24743.0,678.0,64.0,4830.0,622.0,1129.0,9987.0,"Visualize, create, and debug image and video datasets and model predictions.",164.0,39,True,695.0,2025-10-20 19:18:54.000,1.9.0,167.0,,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",1065.0,1029.0,https://pypi.org/project/fiftyone,2025-10-20 19:18:54.000,36.0,167216.0,167216.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +72,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2025-10-25 19:55:47.000000,2025-10-25 19:55:46,2136.0,981.0,104.0,1815.0,440.0,1353.0,4948.0,Python tools for geographic data.,251.0,39,True,18.0,2025-06-26 21:04:57.000,1.1.1,59.0,,geopandas,conda-forge/geopandas,,,['pandas'],63726.0,59952.0,https://pypi.org/project/geopandas,2025-06-26 21:04:55.000,3774.0,10558281.0,10642044.0,https://anaconda.org/conda-forge/geopandas,2025-10-06 15:11:24.609,5359157.0,,,,,2.0,3089.0,,,,,,,,,,,,,,,,,, +73,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2025-10-29 03:49:12.000000,2025-10-17 09:15:18,6786.0,1588.0,104.0,4726.0,696.0,783.0,4496.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",661.0,39,True,43.0,2025-05-28 13:38:19.000,4.9.9,42.0,,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],25218.0,24875.0,https://pypi.org/project/tensorflow-datasets,2025-05-28 13:38:15.000,343.0,1754732.0,1755692.0,https://anaconda.org/conda-forge/tensorflow-datasets,2025-04-22 14:57:51.541,50889.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +74,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2025-10-26 14:39:57.000000,2025-10-26 14:39:53,1321.0,219.0,29.0,52.0,12.0,178.0,1760.0,Simple Python interface for Graphviz.,24.0,39,True,64.0,2024-03-21 07:50:43.000,0.20.3,59.0,,graphviz,anaconda/python-graphviz,,,,97818.0,94666.0,https://pypi.org/project/graphviz,2025-06-15 09:35:04.000,3152.0,25818362.0,25818937.0,https://anaconda.org/anaconda/python-graphviz,2025-04-22 15:32:21.966,58654.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +75,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2025-10-24 10:52:18.000000,2025-10-24 10:52:17,1569.0,331.0,29.0,527.0,103.0,521.0,1658.0,Python library for reading and writing image data.,127.0,39,True,14.0,2025-10-22 18:12:57.000,2.37.1,97.0,,imageio,conda-forge/imageio,,,,184360.0,181745.0,https://pypi.org/project/imageio,2025-01-20 02:42:34.000,2615.0,35707208.0,35842810.0,https://anaconda.org/conda-forge/imageio,2025-04-22 14:56:30.839,8541572.0,,,,,1.0,1898.0,,,,,,,,,,,,,,,,,, +76,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2025-10-30 08:11:33.000000,2025-10-28 16:09:23,6055.0,741.0,50.0,5319.0,1486.0,2463.0,1652.0,A distributed task scheduler for Dask.,339.0,39,True,17.0,2025-10-14 19:50:28.000,2025.10.0,257.0,,distributed,conda-forge/distributed,,,,42959.0,41923.0,https://pypi.org/project/distributed,2025-10-14 19:50:28.000,1036.0,5362363.0,5669134.0,https://anaconda.org/conda-forge/distributed,2025-10-14 21:15:23.177,19940176.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +77,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2025-10-21 18:01:33.000000,2025-10-21 18:01:32,2071.0,2808.0,173.0,305.0,9.0,1199.0,20912.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",96.0,38,True,42.0,2025-08-05 20:40:18.000,0.0.95,94.0,,deepface,,,,,8479.0,8401.0,https://pypi.org/project/deepface,2025-08-05 20:39:45.000,78.0,282563.0,282563.0,,,,,,,,2.0,,,,,,,-1.0,,,,,,,,,,,, +78,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2025-04-22 15:32:24.964000,2023-01-26 21:28:45,11896.0,6753.0,1057.0,11124.0,1805.0,7756.0,20826.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",987.0,38,False,,2022-10-24 07:38:03.000,1.9.1,983.0,apache/mxnet,mxnet,mxnet,,,['mxnet'],8146.0,8019.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,121.0,775408.0,775800.0,https://anaconda.org/anaconda/mxnet,2025-04-22 15:32:24.964,12974.0,,,,,2.0,28720.0,,,,,,,,,,,6.0,,,,,,, +79,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA-NeMo/NeMo,https://github.com/NVIDIA-NeMo/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2025-10-30 06:39:02.000000,2025-10-29 16:45:43,9038.0,3155.0,229.0,11371.0,141.0,2700.0,15997.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",460.0,38,True,175.0,2025-10-27 23:25:55.000,2.5.2,101.0,NVIDIA-NeMo/NeMo,nemo-toolkit,,,,['pytorch'],39.0,21.0,https://pypi.org/project/nemo-toolkit,2025-10-27 23:25:38.000,18.0,807586.0,814776.0,,,,,,,,1.0,524884.0,,,,,,,,,,,,,,,,,, +80,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2025-09-25 14:33:20.542000,2025-09-01 14:05:26,4852.0,5648.0,374.0,771.0,728.0,1414.0,14321.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",202.0,38,False,24.0,2025-09-12 08:54:27.000,2.10.0,61.0,,glfw,conda-forge/glfw,,,,1893.0,1633.0,https://pypi.org/project/glfw,2025-09-12 08:54:27.000,260.0,819740.0,863559.0,https://anaconda.org/conda-forge/glfw,2025-09-25 14:33:20.542,455134.0,,,,,2.0,4532930.0,,,,,,,,,,,,,,,,,, +81,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2025-10-30 10:20:20.000000,2025-10-30 10:20:19,10555.0,1547.0,131.0,1404.0,146.0,1046.0,10633.0,A PyTorch-based Speech Toolkit.,264.0,38,True,10.0,2025-04-07 17:05:07.000,1.0.3,19.0,,speechbrain,,,,['pytorch'],3994.0,3915.0,https://pypi.org/project/speechbrain,2025-04-07 17:17:04.000,79.0,1096373.0,1096373.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +82,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2025-10-30 14:46:17.000000,2025-10-30 14:46:17,24115.0,2325.0,164.0,3622.0,87.0,2443.0,9543.0,End-to-End Speech Processing Toolkit.,518.0,38,True,617.0,2025-09-13 09:11:35.000,.202509,57.0,,espnet,,,,,502.0,483.0,https://pypi.org/project/espnet,2025-09-13 09:12:03.000,19.0,24379.0,24379.0,,,,,,,,1.0,84.0,,,,,,,,,,,,,,,,,, +83,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2025-10-30 13:46:14.000000,2025-10-27 20:03:43,5448.0,742.0,83.0,3115.0,432.0,844.0,6883.0,Flax is a neural network library for JAX that is designed for flexibility.,285.0,38,True,231.0,2025-09-25 23:58:58.000,0.12.0,59.0,,flax,conda-forge/flax,,,['jax'],16189.0,15448.0,https://pypi.org/project/flax,2025-09-25 23:58:58.000,741.0,2036136.0,2038445.0,https://anaconda.org/conda-forge/flax,2025-10-27 15:24:29.822,127022.0,,,,,2.0,61.0,,,,,,,,,,,,,,,,,, +84,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2025-10-29 15:31:22.000000,2025-10-28 15:52:08,5562.0,591.0,34.0,4674.0,723.0,1297.0,3335.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,186.0,38,True,166.0,2025-08-26 14:00:30.000,0.46.3,107.0,,pyvista,conda-forge/pyvista,,,['jupyter'],6066.0,5244.0,https://pypi.org/project/pyvista,2025-08-26 14:00:30.000,822.0,1006474.0,1019117.0,https://anaconda.org/conda-forge/pyvista,2025-10-10 14:39:22.078,808560.0,,,,,2.0,956.0,,,,,,,,,,,,,,,,,, +85,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2025-10-30 14:05:53.000000,2025-10-29 11:27:07,11046.0,407.0,53.0,3283.0,1093.0,2341.0,2834.0,"With Holoviews, your data visualizes itself.",154.0,38,True,42.0,2025-06-25 11:29:47.000,1.21.0,193.0,,holoviews,conda-forge/holoviews,,,['jupyter'],17008.0,16513.0,https://pypi.org/project/holoviews,2025-10-29 11:31:23.000,488.0,818515.0,857078.0,https://anaconda.org/conda-forge/holoviews,2025-06-25 10:19:18.118,2443866.0,,,,,2.0,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2025-06-20 16:50:26.859,7.0,378.0,,,,,,,,,,,,, +86,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2025-10-30 13:35:13.000000,2025-10-30 13:35:13,11229.0,608.0,57.0,3425.0,298.0,2146.0,1324.0,Machine learning for NeuroImaging in Python.,259.0,38,True,188.0,2025-09-03 06:05:00.000,0.12.1,51.0,,nilearn,conda-forge/nilearn,,,['sklearn'],4791.0,4438.0,https://pypi.org/project/nilearn,2025-09-03 06:00:18.000,353.0,274008.0,280770.0,https://anaconda.org/conda-forge/nilearn,2025-09-04 10:27:51.018,398562.0,,,,,1.0,414.0,,,,,,,,,,,,,,,,,, +87,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,9754.0,365.0,3183.0,1939.0,6749.0,31900.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,37,False,,2024-01-05 06:25:30.000,3.3.0,53.0,,mmdet,,,,['pytorch'],4112.0,4029.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,83.0,368805.0,368805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +88,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2025-10-27 11:08:51.000000,2025-10-25 19:10:01,4044.0,2186.0,187.0,223.0,143.0,1146.0,31611.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",117.0,37,True,24.0,2025-10-16 10:18:52.000,16.11.1,257.0,,ocrmypdf,conda-forge/ocrmypdf,,,,1484.0,1426.0,https://pypi.org/project/ocrmypdf,2025-10-16 10:18:25.000,58.0,402263.0,404855.0,https://anaconda.org/conda-forge/ocrmypdf,2025-04-22 14:57:47.405,112808.0,,,,,1.0,15050.0,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +89,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2025-09-27 16:27:11.000000,2025-09-27 16:27:10,2372.0,5731.0,506.0,198.0,1199.0,1394.0,26899.0,State-of-the-art 2D and 3D Face Analysis Project.,67.0,37,True,4.0,2023-04-02 08:03:01.222,0.7.3,28.0,,insightface,,,,['mxnet'],4829.0,4799.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,349998.0,700212.0,,,,,,,,2.0,10506423.0,,,,,,,,,,,,,,,,,, +90,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2025-10-30 15:00:03.000000,2025-10-30 15:00:01,4405.0,2451.0,158.0,4854.0,122.0,3982.0,23207.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",307.0,37,True,167.0,2025-10-20 12:53:39.000,2.19.0,100.0,,haystack,,,,,1335.0,1330.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,7412.0,7412.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +91,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2025-10-10 08:18:19.000000,2025-10-10 07:24:18,1703.0,2870.0,374.0,486.0,3.0,1944.0,15569.0,Python Echarts Plotting Library.,45.0,37,True,1.0,2025-10-10 07:53:08.000,2.0.9,77.0,,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],5819.0,5544.0,https://pypi.org/project/pyecharts,2025-10-10 07:43:29.000,275.0,534851.0,534853.0,,,,,,,,2.0,75.0,,,,,,,,,,,,,,,,,, +92,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2025-10-30 15:02:46.000000,2025-10-30 14:47:05,3375.0,1146.0,96.0,3378.0,160.0,375.0,15291.0,"Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing,..",81.0,37,True,938.0,2025-10-29 14:43:33.000,1.8.95,248.0,,opik,,,,,51.0,17.0,https://pypi.org/project/opik,2025-10-29 15:47:43.000,34.0,845877.0,845877.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +93,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2025-10-25 13:04:47.000000,2025-10-25 13:04:46,2024.0,4460.0,528.0,747.0,116.0,1596.0,14439.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",107.0,37,True,11.0,2025-10-16 12:28:31.000,1.2.8,95.0,,chatterbot,,,,,6478.0,6459.0,https://pypi.org/project/chatterbot,2025-10-16 12:28:20.000,19.0,20246.0,20246.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +94,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2025-10-27 18:11:31.000000,2025-06-12 19:41:27,6684.0,2128.0,194.0,1299.0,26.0,2370.0,14313.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,277.0,37,True,,2025-02-05 14:46:22.000,0.15.1,35.0,,flair,conda-forge/python-flair,,,['pytorch'],4252.0,4090.0,https://pypi.org/project/flair,2025-02-05 14:45:41.000,162.0,178278.0,179057.0,https://anaconda.org/conda-forge/python-flair,2025-04-22 14:57:32.879,49137.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +95,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2025-10-30 13:58:35.000000,2025-10-30 08:58:13,6658.0,4206.0,260.0,2098.0,1154.0,5047.0,13180.0,Open-source simulator for autonomous driving research.,189.0,37,True,38.0,2025-09-16 09:32:23.000,0.9.16,28.0,,carla,,,,,1113.0,1097.0,https://pypi.org/project/carla,2025-09-14 07:54:35.000,16.0,17636.0,17636.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +96,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2025-04-22 14:56:25.718000,2024-01-15 03:16:24,28133.0,2488.0,526.0,4122.0,697.0,2089.0,9958.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,False,,2020-07-27 16:13:54.000,1.0.5,45.0,,theano,conda-forge/theano,,,,16423.0,16251.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,116760.0,140366.0,https://anaconda.org/conda-forge/theano,2025-04-22 14:56:25.718,2620318.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +97,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2025-10-30 13:45:01.000000,2025-10-29 18:58:11,1457.0,931.0,288.0,1917.0,366.0,478.0,9591.0,"Build, Manage and Deploy AI/ML Systems.",117.0,37,True,94.0,2025-10-29 20:18:07.000,2.19.4,234.0,,metaflow,conda-forge/metaflow,,,,1002.0,949.0,https://pypi.org/project/metaflow,2025-10-29 20:18:07.000,53.0,735513.0,740987.0,https://anaconda.org/conda-forge/metaflow,2025-10-29 21:47:40.630,344862.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +98,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2025-10-27 20:24:42.000000,2025-10-18 04:03:09,642.0,1176.0,253.0,245.0,72.0,209.0,9452.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,37,True,11.0,2025-01-13 23:03:01.000,0.19.0,62.0,,textblob,conda-forge/textblob,,,,60817.0,60412.0,https://pypi.org/project/textblob,2025-01-13 23:03:01.000,405.0,1525636.0,1528761.0,https://anaconda.org/conda-forge/textblob,2025-04-22 14:56:26.678,343842.0,,,,,1.0,136.0,,,,,,,,,,,,,,,,,, +99,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2025-10-27 17:48:30.000000,2025-10-27 17:48:25,1512.0,913.0,206.0,313.0,185.0,255.0,7384.0,Efficiently computes derivatives of NumPy code.,64.0,37,True,13.0,2025-05-05 12:49:00.000,1.8.0,31.0,,autograd,conda-forge/autograd,,,,14378.0,14064.0,https://pypi.org/project/autograd,2025-05-05 12:49:00.000,314.0,3443024.0,3460146.0,https://anaconda.org/conda-forge/autograd,2025-05-05 13:26:33.574,684917.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +100,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2025-10-10 03:20:25.000000,2025-10-10 03:20:24,3273.0,1290.0,95.0,3671.0,469.0,2860.0,7049.0,AI Toolkit for Healthcare Imaging.,236.0,37,True,22.0,2025-09-22 18:00:49.000,1.5.1,107.0,,monai,conda-forge/monai,,,['pytorch'],4724.0,4522.0,https://pypi.org/project/monai,2025-09-22 17:39:57.000,202.0,317316.0,318623.0,https://anaconda.org/conda-forge/monai,2025-09-22 17:59:15.706,60154.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +101,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2025-10-29 13:07:41.000000,2025-10-02 07:03:53,4397.0,1108.0,154.0,1867.0,435.0,927.0,4214.0,Fast data visualization and GUI tools for scientific / engineering applications.,305.0,37,True,30.0,2024-04-29 02:18:56.000,0.13.7,25.0,,pyqtgraph,conda-forge/pyqtgraph,,,,14079.0,13053.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,559999.0,573742.0,https://anaconda.org/conda-forge/pyqtgraph,2025-04-22 14:56:31.078,879593.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +102,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2025-10-30 10:46:04.000000,2025-10-30 10:46:02,1271.0,598.0,55.0,1492.0,264.0,596.0,3131.0,"Accelerate inference and training of Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware..",153.0,37,True,19.0,2025-10-09 12:24:49.000,2.0.0,83.0,,optimum,conda-forge/optimum,,,,6544.0,6277.0,https://pypi.org/project/optimum,2025-10-09 10:56:13.000,267.0,3743244.0,3744431.0,https://anaconda.org/conda-forge/optimum,2025-10-09 12:59:51.956,49860.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +103,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2025-10-29 16:03:47.000000,2025-10-29 16:03:47,18473.0,1424.0,82.0,8419.0,611.0,4498.0,3110.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,406.0,37,True,72.0,2025-10-14 00:16:20.000,1.10.2,84.0,,mne,conda-forge/mne,,,,529.0,,https://pypi.org/project/mne,2025-10-14 00:16:20.000,529.0,275122.0,284600.0,https://anaconda.org/conda-forge/mne,2025-10-14 15:09:13.423,616122.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +104,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2025-10-30 14:54:09.000000,2025-10-30 13:31:47,6148.0,705.0,47.0,6920.0,434.0,1283.0,2857.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",210.0,37,True,415.0,2025-10-15 18:36:09.000,0.43.0,68.0,,pennylane,conda-forge/pennylane,,,,1971.0,1882.0,https://pypi.org/project/pennylane,2025-10-15 18:36:09.000,89.0,197906.0,205232.0,https://anaconda.org/conda-forge/pennylane,2025-04-22 14:58:05.852,344299.0,,,,,1.0,101.0,,,,,,,,,,,,,,,,,, +105,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2025-10-30 11:35:04.000000,2025-10-29 13:17:41,2446.0,729.0,66.0,3129.0,334.0,741.0,2761.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",243.0,37,True,63.0,2025-10-15 17:17:43.000,2.9.0,44.0,,torchaudio,,,,['pytorch'],2397.0,,https://pypi.org/project/torchaudio,2025-10-15 15:51:53.000,2397.0,14541204.0,14541204.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +106,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2025-10-27 16:22:04.000000,2025-09-26 01:25:45,3959.0,542.0,139.0,1306.0,158.0,1739.0,2428.0,Rasterio reads and writes geospatial raster datasets.,171.0,37,True,20.0,2024-12-02 16:44:51.000,1.4.3,166.0,,rasterio,conda-forge/rasterio,,,,20188.0,18652.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,2761581.0,2854471.0,https://anaconda.org/conda-forge/rasterio,2025-09-17 18:20:14.801,5294299.0,,,,,2.0,1023.0,,,,,,,,,,,,,,,,,, +107,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2025-10-22 12:15:30.000000,2025-10-22 12:15:27,1625.0,455.0,50.0,1578.0,177.0,728.0,1740.0,Exploratory analysis of Bayesian models with Python.,184.0,37,True,16.0,2025-07-09 10:07:19.000,0.22.0,41.0,,arviz,conda-forge/arviz,,,,11892.0,11486.0,https://pypi.org/project/arviz,2025-07-09 10:07:19.000,406.0,3726519.0,3765009.0,https://anaconda.org/conda-forge/arviz,2025-07-10 08:17:22.571,2501765.0,,,,,1.0,192.0,,,,,,,,,,,,,,,,,, +108,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2025-10-29 13:19:19.000000,2025-10-29 13:17:58,1658.0,228.0,32.0,759.0,45.0,616.0,1165.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,74.0,37,True,37.0,2025-08-14 12:03:51.000,3.7.2,68.0,,pyproj,conda-forge/pyproj,,,,48980.0,46650.0,https://pypi.org/project/pyproj,2025-08-14 12:03:51.000,2330.0,14136047.0,14320396.0,https://anaconda.org/conda-forge/pyproj,2025-09-15 17:28:23.877,11614011.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +109,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2025-04-22 14:56:34.345000,2020-02-15 08:33:35,523.0,6713.0,1265.0,169.0,674.0,229.0,34502.0,Chinese Words Segmentation Utilities.,49.0,36,False,,2020-01-20 14:27:23.000,0.42.1,32.0,,jieba,conda-forge/jieba,,,,41044.0,40206.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1209503.0,1213533.0,https://anaconda.org/conda-forge/jieba,2025-04-22 14:56:34.345,213606.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +110,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2025-10-02 05:13:23.784000,2025-09-30 11:16:06,2330.0,6601.0,419.0,1371.0,1343.0,3057.0,31903.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,431.0,36,True,2.0,2022-06-27 19:32:58.000,0.12.2,16.0,,fairseq,conda-forge/fairseq,,,['pytorch'],4485.0,4368.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,76608.0,79245.0,https://anaconda.org/conda-forge/fairseq,2025-10-02 05:13:23.784,165917.0,,,,,2.0,438.0,,,,,,,,,,,,,,,,,, +111,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2025-10-30 08:04:48.000000,2025-10-29 14:51:06,9418.0,3013.0,310.0,262.0,21.0,1208.0,31667.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,36,True,230.0,2025-10-23 15:26:05.000,8.7.1,747.0,,netron,,,,"['pytorch', 'tensorflow']",105.0,13.0,https://pypi.org/project/netron,2025-10-23 15:26:05.000,92.0,42802.0,202310.0,,,,,,,,1.0,159508.0,,,,,,,,,,,,,,,,,, +112,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2025-06-25 23:21:43.000000,2025-06-25 23:21:40,1332.0,1686.0,124.0,1259.0,211.0,1260.0,15183.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,172.0,36,True,,2025-05-27 21:22:56.000,2.0.8,88.0,,albumentations,conda-forge/albumentations,,,['pytorch'],726.0,,https://pypi.org/project/albumentations,2025-05-27 21:23:15.000,726.0,4617254.0,4622597.0,https://anaconda.org/conda-forge/albumentations,2025-05-28 13:47:29.423,336658.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +113,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2025-04-22 14:57:06.395000,2020-06-01 14:58:26,2913.0,2444.0,224.0,350.0,310.0,227.0,14689.0,Image augmentation for machine learning experiments.,36.0,36,False,,2020-02-06 06:18:40.000,0.4.0,11.0,,imgaug,conda-forge/imgaug,,,,26582.0,26317.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,3043896.0,3047061.0,https://anaconda.org/conda-forge/imgaug,2025-04-22 14:57:06.395,240589.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +114,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2025-10-30 08:43:13.000000,2025-10-28 20:40:24,1347.0,2256.0,326.0,1621.0,405.0,1869.0,14620.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",176.0,36,True,3.0,2023-06-12 09:28:02.604,0.28.1,77.0,,horovod,,,,,1467.0,1433.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,34.0,78073.0,78073.0,,,,,,,,2.0,,,,,,,,stable/horovod,,,,,,,,,,, +115,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2025-07-31 23:53:10.000000,2025-07-31 23:53:10,4417.0,3047.0,169.0,5077.0,592.0,2362.0,14111.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",298.0,36,True,,2024-09-03 04:16:25.000,2.4.0,453.0,,dgl,,,,,4296.0,4148.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,150340.0,150340.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +116,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2025-04-22 14:56:58.676000,2022-11-22 00:42:46,2719.0,2238.0,272.0,3096.0,91.0,2477.0,11882.0,"An open-source NLP research library, built on PyTorch.",267.0,36,False,,2022-10-18 23:54:05.191,2.10.1,265.0,,allennlp,conda-forge/allennlp,,,['pytorch'],4589.0,4464.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,189511.0,192030.0,https://anaconda.org/conda-forge/allennlp,2025-04-22 14:56:58.676,206565.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,, +117,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2025-07-26 22:24:06.000000,2022-12-08 17:49:19,746.0,1110.0,132.0,253.0,371.0,276.0,9619.0,Manipulate audio with a simple and easy high level interface.,95.0,36,False,,2021-03-10 02:10:41.000,0.25.1,68.0,,pydub,conda-forge/pydub,,,,108216.0,106847.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,12346267.0,12350127.0,https://anaconda.org/conda-forge/pydub,2025-04-22 14:56:58.184,212316.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +118,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2025-10-26 04:10:04.000000,2025-04-29 22:21:52,1895.0,1436.0,149.0,266.0,231.0,155.0,9556.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",64.0,36,True,,2025-04-29 22:28:31.000,2.0.5,97.0,,pyod,conda-forge/pyod,,,,5604.0,5472.0,https://pypi.org/project/pyod,2025-04-29 22:26:57.000,132.0,836684.0,839355.0,https://anaconda.org/conda-forge/pyod,2025-04-30 06:08:34.747,173665.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +119,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2025-10-29 07:19:59.000000,2025-10-29 07:19:59,3687.0,880.0,78.0,4077.0,136.0,1003.0,8166.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",265.0,36,True,61.0,2025-10-29 06:10:11.000,1.4.28,208.0,,bentoml,,,,,2825.0,2781.0,https://pypi.org/project/bentoml,2025-10-29 06:10:11.000,44.0,178117.0,178120.0,,,,,,,,2.0,95.0,,,,,,,,,,,,,,,,,, +120,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2025-10-29 22:54:34.000000,2025-10-05 06:05:36,4995.0,919.0,136.0,531.0,100.0,852.0,7641.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",72.0,36,True,63.0,2025-10-05 06:45:12.000,1.11.0,31.0,,stanza,stanfordnlp/stanza,,,,4351.0,4110.0,https://pypi.org/project/stanza,2025-10-05 06:43:59.000,241.0,765436.0,765570.0,https://anaconda.org/stanfordnlp/stanza,2025-03-25 16:28:39.162,8979.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +121,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2025-07-30 13:23:12.000000,2025-07-30 13:23:11,1029.0,950.0,88.0,263.0,172.0,722.0,5060.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",56.0,36,True,,2025-07-04 16:37:38.000,88,76.0,,opencv-python,,,,,628766.0,614171.0,https://pypi.org/project/opencv-python,2025-07-07 09:13:31.000,14595.0,29257828.0,29257828.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +122,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2025-10-30 00:19:31.000000,2025-10-16 15:43:58,1849.0,657.0,57.0,2026.0,158.0,1290.0,4709.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,1006.0,36,True,22.0,2025-10-16 00:41:55.000,0.5.3,2144.0,,pytorch-ignite,pytorch/ignite,,,['pytorch'],4060.0,3937.0,https://pypi.org/project/pytorch-ignite,2025-10-30 00:19:31.000,123.0,166807.0,169648.0,https://anaconda.org/pytorch/ignite,2025-10-16 14:12:34.115,250048.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +123,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2025-10-30 01:11:28.000000,2025-10-30 01:08:12,4791.0,346.0,65.0,3613.0,117.0,813.0,2596.0,Adaptive Experimentation Platform.,196.0,36,True,350.0,2025-10-24 01:26:01.000,1.2.0,49.0,,ax-platform,conda-forge/ax-platform,,,['pytorch'],1305.0,1234.0,https://pypi.org/project/ax-platform,2025-09-09 19:59:42.000,71.0,238886.0,239823.0,https://anaconda.org/conda-forge/ax-platform,2025-09-10 15:44:56.663,48763.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +124,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2025-10-27 11:40:38.000000,2025-10-27 11:39:37,2288.0,459.0,29.0,2065.0,81.0,906.0,2349.0,"Machine learning metrics for distributed, scalable PyTorch applications.",283.0,36,True,66.0,2025-09-03 13:54:56.000,1.8.2,64.0,Lightning-AI/torchmetrics,metrics,conda-forge/torchmetrics,,,['pytorch'],45034.0,45030.0,https://pypi.org/project/metrics,2025-02-26 14:13:26.000,4.0,4552.0,43841.0,https://anaconda.org/conda-forge/torchmetrics,2025-09-03 20:54:12.961,2153971.0,,,,,2.0,6947.0,,,,,,,,,,,,,,,,,, +125,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2025-10-29 11:00:31.000000,2025-10-28 22:13:47,5351.0,1133.0,152.0,1495.0,79.0,845.0,2080.0,Documentation and samples for ArcGIS API for Python.,99.0,36,True,90.0,2025-10-13 15:02:36.000,2.4.2,55.0,,arcgis,,esridocker/arcgis-api-python-notebook,,,1046.0,1002.0,https://pypi.org/project/arcgis,2025-10-27 17:10:55.000,44.0,146964.0,147114.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,16368.0,,,,,,,,,,,,,,,,,, +126,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2025-04-22 14:57:35.730000,2022-06-10 09:12:18,238.0,13504.0,1557.0,243.0,795.0,598.0,55657.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,,2020-02-20 14:26:01.000,1.3.0,23.0,,face_recognition,conda-forge/face_recognition,,,['pytorch'],5678.0,5562.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,183112.0,183765.0,https://anaconda.org/conda-forge/face_recognition,2025-04-22 14:57:35.730,38998.0,,,,,2.0,1434.0,,,,,,,,,,,,,,,,,, +127,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2025-10-30 14:37:39.000000,2025-09-30 09:28:29,4818.0,1853.0,143.0,5511.0,365.0,1251.0,26836.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",145.0,35,True,263.0,2025-09-30 12:23:50.000,1.15.5,100.0,,,,,,,117.0,117.0,,,,,9700.0,,,,,,,,2.0,504412.0,,,,,,,,,,,,,,,,,, +128,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2025-10-29 14:08:37.000000,2025-10-29 14:08:37,911.0,1207.0,307.0,272.0,69.0,346.0,14002.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,90.0,35,True,4.0,2023-06-14 16:39:02.504,1.17.3,47.0,,annoy,conda-forge/python-annoy,,,,5560.0,5359.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,1040840.0,1054034.0,https://anaconda.org/conda-forge/python-annoy,2025-09-01 16:14:20.560,804890.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +129,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2025-10-15 19:05:42.000000,2025-09-19 21:25:00,1578.0,1748.0,147.0,895.0,259.0,590.0,13224.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,139.0,35,True,3.0,2025-09-23 16:00:25.000,4.17.0,74.0,ydataai/ydata-profiling,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",7114.0,6931.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,328644.0,334001.0,https://anaconda.org/conda-forge/pandas-profiling,2025-04-22 14:56:27.206,588846.0,,,,,2.0,486.0,,,,,,,,,,,,,,,,,, +130,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2025-10-27 04:49:14.000000,2025-10-26 23:14:58,2819.0,773.0,101.0,526.0,621.0,1310.0,10460.0,An open source multi-tool for exploring and publishing data.,82.0,35,True,123.0,2024-11-29 01:18:11.000,0.65.1,157.0,,datasette,conda-forge/datasette,,,,2095.0,1616.0,https://pypi.org/project/datasette,2025-04-22 05:45:11.000,479.0,182610.0,183959.0,https://anaconda.org/conda-forge/datasette,2025-04-22 14:57:50.610,72796.0,,,,,2.0,75.0,,,,,,,,datasette,,,,,,,,,, +131,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2025-10-29 14:31:56.000000,2025-10-29 14:31:56,2689.0,1072.0,94.0,3052.0,435.0,1330.0,9555.0,Fast and Accurate ML in 3 Lines of Code.,142.0,35,True,34.0,2025-07-29 05:12:41.000,1.4.0,1995.0,,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",1246.0,1208.0,https://pypi.org/project/autogluon,2025-10-23 09:05:49.000,38.0,262489.0,264119.0,https://anaconda.org/conda-forge/autogluon,2025-07-30 06:23:59.233,45006.0,https://hub.docker.com/r/autogluon/autogluon,2025-06-16 23:01:47.182920,19.0,20069.0,1.0,,,,,,,,,,,,,,,,,,, +132,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2025-10-30 14:39:31.000000,2025-10-30 13:22:58,41911.0,976.0,157.0,13133.0,1121.0,6216.0,9286.0,cuDF - GPU DataFrame Library.,309.0,35,True,568.0,2025-10-08 16:55:38.000,25.10.00,65.0,,cudf,,,,,86.0,64.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,2799.0,2799.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +133,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2025-08-12 08:56:49.000000,2025-08-12 08:55:51,713.0,377.0,63.0,143.0,36.0,167.0,9247.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",34.0,35,True,2.0,2025-02-09 03:17:01.000,0.8.1,16.0,,einops,conda-forge/einops,,,,84932.0,82375.0,https://pypi.org/project/einops,2025-02-09 03:17:01.000,2557.0,14541330.0,14549246.0,https://anaconda.org/conda-forge/einops,2025-04-22 14:57:12.206,474982.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +134,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2025-10-28 17:49:43.000000,2025-06-13 01:59:41,551.0,863.0,81.0,301.0,88.0,378.0,7967.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",85.0,35,True,,2025-09-05 07:51:39.000,2.6.4,25.0,,tensorboardX,conda-forge/tensorboardx,,,,60587.0,59846.0,https://pypi.org/project/tensorboardX,2025-06-10 22:37:05.000,741.0,4466004.0,4487258.0,https://anaconda.org/conda-forge/tensorboardx,2025-04-22 14:56:45.200,1338724.0,,,,,2.0,501.0,,,,,,,,,,,,,,,,,, +135,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2025-10-02 17:11:25.139000,2025-09-22 17:25:21,1264.0,712.0,122.0,1041.0,410.0,1162.0,4993.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",199.0,35,True,10.0,2025-04-29 03:56:01.000,8.3,54.0,,coremltools,conda-forge/coremltools,,,,5219.0,5110.0,https://pypi.org/project/coremltools,2025-07-28 17:34:05.000,109.0,1071779.0,1073809.0,https://anaconda.org/conda-forge/coremltools,2025-10-02 17:11:25.139,112295.0,,,,,2.0,15486.0,,,,,,,,,,,,,,,,,, +136,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2025-10-30 12:37:30.000000,2025-10-16 08:58:13,2663.0,240.0,60.0,165.0,78.0,675.0,4397.0,A Grammar of Graphics for Python.,114.0,35,True,28.0,2025-07-15 21:10:18.000,0.15.0,46.0,,plotnine,conda-forge/plotnine,,,,13076.0,12674.0,https://pypi.org/project/plotnine,2025-07-15 15:55:30.000,402.0,2245971.0,2254671.0,https://anaconda.org/conda-forge/plotnine,2025-07-15 20:51:48.222,556838.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +137,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2025-10-22 13:52:07.000000,2025-10-22 13:52:06,12246.0,1120.0,148.0,473.0,720.0,765.0,4388.0,Probabilistic reasoning and statistical analysis in TensorFlow.,505.0,35,True,15.0,2024-11-08 16:30:13.000,0.25.0,53.0,,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],622.0,4.0,https://pypi.org/project/tensorflow-probability,2024-11-08 16:25:57.000,618.0,882324.0,885907.0,https://anaconda.org/conda-forge/tensorflow-probability,2025-04-22 14:57:01.266,200652.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +138,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2025-10-27 20:50:07.000000,2025-10-22 20:06:41,8968.0,732.0,98.0,13543.0,23.0,886.0,4064.0,State of the Art Natural Language Processing.,116.0,35,True,64.0,2025-10-22 15:38:20.000,6.2.0,167.0,,spark-nlp,,,,['spark'],654.0,615.0,https://pypi.org/project/spark-nlp,2025-10-22 10:13:44.000,39.0,1003515.0,1003515.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +139,BoTorch,pytorch/botorch,hyperopt,,https://github.com/meta-pytorch/botorch,https://github.com/meta-pytorch/botorch,MIT,2018-07-30 23:59:57.000,2025-10-29 19:58:00.000000,2025-10-29 19:54:52,2333.0,446.0,48.0,2110.0,63.0,533.0,3380.0,Bayesian optimization in PyTorch.,148.0,35,True,81.0,2025-10-23 21:42:41.000,0.16.0,52.0,meta-pytorch/botorch,botorch,conda-forge/botorch,,,['pytorch'],1925.0,1780.0,https://pypi.org/project/botorch,2025-10-23 21:42:41.000,145.0,475312.0,478200.0,https://anaconda.org/conda-forge/botorch,2025-10-24 15:48:06.271,179105.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +140,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2025-10-30 12:09:21.000000,2025-10-30 12:09:21,3236.0,387.0,54.0,1291.0,316.0,1016.0,1547.0,Cartopy - a cartographic python library with matplotlib support.,138.0,35,True,39.0,2025-08-01 12:43:37.000,0.25.0,33.0,,cartopy,conda-forge/cartopy,,,,9081.0,8113.0,https://pypi.org/project/cartopy,2025-08-01 12:43:37.000,968.0,806471.0,892976.0,https://anaconda.org/conda-forge/cartopy,2025-10-27 17:10:02.090,5622848.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +141,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/uxlfoundation/scikit-learn-intelex,https://github.com/uxlfoundation/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2025-10-30 14:44:54.034000,2025-10-28 14:20:25,2345.0,184.0,23.0,2453.0,39.0,215.0,1317.0,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,86.0,35,True,92.0,2025-10-27 11:54:55.000,2025.9.0,41.0,uxlfoundation/scikit-learn-intelex,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],13870.0,13796.0,https://pypi.org/project/scikit-learn-intelex,2025-10-22 17:56:51.000,74.0,89251.0,101267.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2025-10-30 14:44:54.034,648906.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +142,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2025-10-27 06:51:36.000000,2025-10-27 06:40:59,1553.0,7505.0,387.0,715.0,542.0,3091.0,33587.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",281.0,34,True,3.0,2021-11-15 22:08:26.000,0.6,10.0,,detectron2,conda-forge/detectron2,,,['pytorch'],2598.0,2585.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,13031.0,https://anaconda.org/conda-forge/detectron2,2025-06-02 19:54:55.795,820960.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +143,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,3434.0,322.0,280.0,468.0,608.0,28284.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,34,False,,2024-09-24 11:34:43.000,1.7.2,33.0,,easyocr,,,,,16989.0,16736.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,253.0,2446435.0,2901179.0,,,,,,,,2.0,29103670.0,,,,,,,,,,,,,,,,,, +144,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2025-04-22 14:56:42.880000,2024-03-13 15:16:33,391.0,4719.0,838.0,268.0,555.0,611.0,26395.0,Library for fast text representation and classification.,68.0,34,False,,2024-06-12 09:44:40.000,0.9.3,37.0,,fasttext,conda-forge/fasttext,,,,8362.0,8115.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1546496.0,1549026.0,https://anaconda.org/conda-forge/fasttext,2025-04-22 14:56:42.880,154377.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +145,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2025-10-06 12:43:11.000000,2025-08-26 16:46:38,32384.0,4888.0,350.0,6464.0,138.0,6645.0,20812.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",598.0,34,True,1.0,2025-01-14 10:40:21.000,3.6.21,374.0,,rasa,,,,['tensorflow'],60.0,,https://pypi.org/project/rasa,2025-01-14 10:40:10.000,60.0,106964.0,106964.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +146,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2025-10-22 17:09:29.425000,2025-10-21 22:34:48,837.0,4638.0,451.0,489.0,455.0,1740.0,19730.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,189.0,34,True,7.0,2025-10-21 22:35:41.000,1.2.1-patched,23.0,,fbprophet,conda-forge/prophet,,,,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,83705.0,112359.0,https://anaconda.org/conda-forge/prophet,2025-10-22 17:09:29.425,1545724.0,,,,,1.0,3166.0,,,,,,,,,,,,,,,,,, +147,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Apache-2.0,2021-01-19 08:37:25.000,2025-10-17 10:23:30.000000,2025-10-10 15:20:56,19093.0,5638.0,62.0,11827.0,943.0,15966.0,14237.0,Convert Machine Learning Code Between Frameworks.,1484.0,34,True,3.0,2025-06-16 00:11:47.000,1.0.0.5,138.0,ivy-llc/ivy,ivy,,,,,16.0,,https://pypi.org/project/ivy,2025-06-16 00:12:14.000,16.0,33482.0,33482.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +148,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2025-04-22 14:57:34.170000,2025-03-06 20:05:48,5371.0,1819.0,135.0,1069.0,387.0,1958.0,9568.0,"An open-source, low-code machine learning library in Python.",142.0,34,True,,2024-04-28 18:46:27.000,3.3.2,98.0,,pycaret,conda-forge/pycaret,,,,7906.0,7875.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,312180.0,313452.0,https://anaconda.org/conda-forge/pycaret,2025-04-22 14:57:34.170,78209.0,,,,,2.0,734.0,,,,,,,,,,,,,,,,,, +149,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2025-10-28 13:46:19.000000,2025-10-28 13:46:19,793.0,2416.0,269.0,219.0,325.0,344.0,8884.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",56.0,34,True,6.0,2025-05-12 23:42:38.000,3.14.3,66.0,,SpeechRecognition,conda-forge/speechrecognition,,,,751.0,21.0,https://pypi.org/project/SpeechRecognition,2025-05-12 23:42:23.000,730.0,2190516.0,2196335.0,https://anaconda.org/conda-forge/speechrecognition,2025-05-12 19:22:07.059,360798.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +150,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2025-09-09 17:00:56.000000,2025-09-09 16:58:19,414.0,1576.0,128.0,199.0,6.0,385.0,8438.0,A Python implementation of global optimization with gaussian processes.,52.0,34,True,1.0,2025-07-24 15:58:42.000,3.1.0,25.0,bayesian-optimization/BayesianOptimization,bayesian-optimization,,,,,4275.0,4084.0,https://pypi.org/project/bayesian-optimization,2025-07-24 15:58:42.000,191.0,507499.0,507500.0,,,,,,,,1.0,177.0,,,,,,,,,,,,,,,,,, +151,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2025-09-16 20:21:34.000000,2025-05-19 17:05:09,3299.0,1006.0,133.0,715.0,66.0,1207.0,7969.0,Python library for audio and music analysis.,126.0,34,True,,2025-03-11 15:09:52.000,0.11.0,46.0,,librosa,conda-forge/librosa,,,,1627.0,,https://pypi.org/project/librosa,2025-03-11 15:09:52.000,1627.0,5594348.0,5611751.0,https://anaconda.org/conda-forge/librosa,2025-04-22 14:56:25.574,1096445.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +152,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2025-10-13 21:08:25.000000,2024-12-27 12:36:14,1223.0,1051.0,111.0,280.0,143.0,659.0,7502.0,Distributed Asynchronous Hyperparameter Optimization in Python.,105.0,34,True,,2021-11-17 10:07:00.808,0.2.7,13.0,,hyperopt,conda-forge/hyperopt,,,,22741.0,22288.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2713795.0,2728202.0,https://anaconda.org/conda-forge/hyperopt,2025-04-22 14:56:55.071,864425.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +153,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2025-10-30 11:58:38.000000,2025-10-21 00:33:12,32668.0,2024.0,371.0,7004.0,2911.0,6736.0,7337.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",282.0,34,True,25.0,,,158.0,,h2o,,,,,167.0,99.0,https://pypi.org/project/h2o,2025-10-08 21:20:49.000,68.0,177960.0,177960.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +154,ClearML,allegroai/clearml,ml-experiments,,https://github.com/clearml/clearml,https://github.com/clearml/clearml,Apache-2.0,2019-06-10 08:18:32.000,2025-10-27 13:00:26.000000,2025-10-27 13:00:10,2573.0,714.0,91.0,301.0,528.0,643.0,6331.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",105.0,34,True,25.0,2025-07-10 12:01:40.000,2.0.2,185.0,clearml/clearml,clearml,,allegroai/trains,,,1978.0,1900.0,https://pypi.org/project/clearml,2025-10-22 20:49:43.000,78.0,502799.0,503260.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,31467.0,2.0,3461.0,,,,,,,,,,,,,,,,,, +155,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2025-10-27 19:00:32.000000,2025-10-27 18:42:30,10637.0,1928.0,141.0,2765.0,835.0,1247.0,6290.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",258.0,34,True,18.0,2024-04-03 16:21:23.000,2.8.0,1025.0,,deepchem,conda-forge/deepchem,,,['tensorflow'],671.0,647.0,https://pypi.org/project/deepchem,2025-10-27 19:00:32.000,24.0,54473.0,56337.0,https://anaconda.org/conda-forge/deepchem,2025-04-22 14:57:21.461,119334.0,,,,,2.0,,,,,,,-1.0,,,,,,,,,,,, +156,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2025-09-01 17:12:43.186000,2025-05-04 14:31:12,2355.0,1134.0,187.0,245.0,279.0,291.0,6241.0,Distributed Evolutionary Algorithms in Python.,91.0,34,False,,2025-05-04 12:26:13.000,1.4.3,29.0,,deap,conda-forge/deap,,,,7145.0,6866.0,https://pypi.org/project/deap,2025-05-04 12:26:13.000,279.0,244269.0,254402.0,https://anaconda.org/conda-forge/deap,2025-09-01 17:12:43.186,608015.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +157,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2025-10-29 16:37:59.000000,2025-10-17 22:13:42,13055.0,1235.0,96.0,1635.0,11.0,903.0,5621.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",145.0,34,True,115.0,2025-07-07 19:58:07.000,1.20.1,66.0,,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,798.0,773.0,https://pypi.org/project/adversarial-robustness-toolbox,2025-07-07 19:53:16.000,25.0,29082.0,30429.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2025-07-07 22:05:57.819,84895.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +158,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2025-10-30 01:44:14.266000,2025-10-29 18:42:00,1383.0,340.0,41.0,558.0,138.0,259.0,4563.0,Lightning fast forecasting with statistical and econometric models.,56.0,34,True,10.0,2025-10-29 17:55:01.000,2.0.3,41.0,,statsforecast,conda-forge/statsforecast,,,,2120.0,2029.0,https://pypi.org/project/statsforecast,2025-10-29 17:55:01.000,91.0,994133.0,999240.0,https://anaconda.org/conda-forge/statsforecast,2025-10-30 01:44:14.266,219626.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +159,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2025-10-18 17:23:53.762000,2025-10-14 17:56:39,3979.0,575.0,53.0,938.0,386.0,992.0,3784.0,A highly efficient implementation of Gaussian Processes in PyTorch.,143.0,34,True,20.0,2025-10-14 18:12:38.000,1.14.2,44.0,,gpytorch,conda-forge/gpytorch,,,['pytorch'],3473.0,3227.0,https://pypi.org/project/gpytorch,2025-10-14 18:12:38.000,246.0,502719.0,506282.0,https://anaconda.org/conda-forge/gpytorch,2025-10-18 17:23:53.762,231647.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +160,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2025-10-27 13:11:53.000000,2025-10-13 15:05:41,7447.0,622.0,110.0,1241.0,377.0,1125.0,3488.0,High-performance interactive 2D/3D data visualization library.,207.0,34,True,6.0,2025-05-19 13:53:25.000,0.15.2,42.0,,vispy,conda-forge/vispy,,,['jupyter'],2346.0,2143.0,https://pypi.org/project/vispy,2025-05-19 13:26:00.000,200.0,192190.0,208232.0,https://anaconda.org/conda-forge/vispy,2025-08-30 02:31:08.305,977852.0,,,,,2.0,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,12.0,-1.0,,,,,,,,,,,, +161,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2025-10-16 13:53:13.000000,2025-10-09 11:24:35,1592.0,377.0,91.0,847.0,148.0,467.0,3470.0,Quickly and accurately render even the largest data.,63.0,34,True,22.0,2025-08-05 10:21:32.000,0.18.2,60.0,,datashader,conda-forge/datashader,,,,6529.0,6275.0,https://pypi.org/project/datashader,2025-08-05 10:04:35.000,254.0,284381.0,309187.0,https://anaconda.org/conda-forge/datashader,2025-08-05 10:28:20.253,1612431.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +162,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2025-10-29 04:39:57.000000,2025-10-29 04:39:57,3262.0,860.0,71.0,1278.0,302.0,812.0,3081.0,Python library for causal inference and probabilistic modeling.,176.0,34,True,59.0,2025-03-31 18:26:31.000,1.0.0,27.0,,pgmpy,,,,,1794.0,1722.0,https://pypi.org/project/pgmpy,2025-03-31 17:39:00.000,72.0,124024.0,124034.0,,,,,,,,1.0,684.0,,,,,,,,,,,,,,,,,, +163,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2025-10-29 12:44:35.000000,2025-10-29 12:25:29,5704.0,609.0,17.0,1825.0,1211.0,863.0,2621.0,"This is the development home of the workflow management system Snakemake. For general information, see.",385.0,34,True,76.0,2025-10-22 15:17:36.000,9.13.4,435.0,,snakemake,bioconda/snakemake,,,,2790.0,2471.0,https://pypi.org/project/snakemake,2025-10-22 15:17:36.000,319.0,125474.0,138271.0,https://anaconda.org/bioconda/snakemake,2025-10-28 10:41:27.281,1535713.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +164,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2025-09-25 13:56:38.000000,2025-09-25 13:56:35,974.0,292.0,42.0,384.0,247.0,147.0,2352.0,Evaluate: A library for easily evaluating machine learning models and datasets.,132.0,34,True,9.0,2025-09-18 13:07:20.000,0.4.6,19.0,,evaluate,,,,,24348.0,23692.0,https://pypi.org/project/evaluate,2025-09-18 13:06:29.000,656.0,3641494.0,3641494.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +165,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2025-10-27 20:42:57.000000,2025-09-30 10:06:00,3870.0,197.0,45.0,1449.0,146.0,781.0,2105.0,Ahead of Time compiler for numeric kernels.,75.0,34,True,29.0,2025-05-23 09:30:54.000,0.18.0,63.0,,pythran,conda-forge/pythran,,,,3620.0,3592.0,https://pypi.org/project/pythran,2025-05-23 09:30:54.000,28.0,500173.0,520709.0,https://anaconda.org/conda-forge/pythran,2025-07-07 00:36:53.144,1252706.0,,,,,2.0,,,,,,,,,,,,,pythran,python-pythran,,,,, +166,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2025-10-30 13:58:57.000000,2025-10-30 13:58:35,5367.0,54.0,203.0,659.0,160.0,576.0,1710.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,34,True,217.0,2025-09-12 17:28:42.000,4.7.3,96.0,,lets-plot,,,,,210.0,194.0,https://pypi.org/project/lets-plot,2025-09-12 17:27:49.000,16.0,117811.0,117858.0,,,,,,,,2.0,3366.0,,,,,,,,,,,,,,,,,, +167,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2025-10-06 18:51:55.000000,2025-10-06 18:51:50,1887.0,200.0,29.0,218.0,26.0,410.0,1463.0,The ctypes-based simple ImageMagick binding for Python.,111.0,34,True,5.0,2023-11-04 01:41:17.000,0.6.13,56.0,,wand,conda-forge/wand,,,,21465.0,21208.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,2236452.0,2239442.0,https://anaconda.org/conda-forge/wand,2025-04-22 14:57:10.980,175237.0,,,,,2.0,51700.0,,,,,,,,,,,,,,,,,, +168,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2025-10-27 15:25:47.000000,2025-10-27 15:25:45,3266.0,260.0,30.0,266.0,54.0,525.0,1409.0,Python interface for igraph.,80.0,34,False,43.0,2025-10-23 12:28:33.000,1.0.0,45.0,,python-igraph,conda-forge/igraph,,,,5197.0,4683.0,https://pypi.org/project/python-igraph,2025-10-23 12:28:33.000,514.0,386082.0,400197.0,https://anaconda.org/conda-forge/igraph,2025-09-21 10:22:02.653,870326.0,,,,,1.0,8293.0,,,,,,,,,,,,,,,,,, +169,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2025-10-30 12:36:01.000000,2025-08-18 17:37:37,922.0,360.0,38.0,1160.0,201.0,173.0,1274.0,Making text a first-class citizen in TensorFlow.,186.0,34,True,3.0,2025-04-04 21:04:24.000,2.19.0,76.0,,tensorflow-text,,,,['tensorflow'],10264.0,10036.0,https://pypi.org/project/tensorflow-text,2025-04-04 20:51:29.000,228.0,6752965.0,6752965.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +170,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2025-04-22 14:56:20.833000,2025-02-20 23:53:44,1571.0,209.0,44.0,636.0,44.0,780.0,1207.0,Fiona reads and writes geographic data files.,78.0,34,True,,2024-09-16 20:20:31.000,1.10.1,117.0,,fiona,conda-forge/fiona,,,,27183.0,26800.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,383.0,5621294.0,5746225.0,https://anaconda.org/conda-forge/fiona,2025-04-22 14:56:20.833,7870706.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +171,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2025-10-27 00:15:56.000000,2025-10-27 00:15:54,1573.0,154.0,37.0,138.0,4.0,646.0,1194.0,A Python data analysis library that is optimized for humans instead of machines.,55.0,34,True,5.0,2025-01-29 06:24:06.000,1.13.0,38.0,,agate,conda-forge/agate,,,,5324.0,5270.0,https://pypi.org/project/agate,2025-01-29 06:24:06.000,54.0,23837101.0,23844907.0,https://anaconda.org/conda-forge/agate,2025-04-22 14:56:31.741,413735.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +172,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2025-10-28 16:15:43.000000,2025-10-28 16:15:43,15317.0,315.0,33.0,2077.0,530.0,744.0,1148.0,Python package for earth-observing satellite data processing.,183.0,34,False,207.0,2025-08-09 02:19:55.000,0.58.0,104.0,,satpy,conda-forge/satpy,,,,216.0,184.0,https://pypi.org/project/satpy,2025-08-09 02:19:55.000,32.0,23885.0,28680.0,https://anaconda.org/conda-forge/satpy,2025-08-09 09:34:23.476,306935.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +173,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2025-10-29 21:11:16.000000,2025-10-29 20:05:27,11873.0,255.0,50.0,12640.0,292.0,2290.0,1033.0,Cloud-native genomic dataframes and batch computing.,100.0,34,True,121.0,2025-09-09 17:44:39.000,0.2.136,158.0,,hail,,,,['spark'],215.0,171.0,https://pypi.org/project/hail,2025-09-09 17:44:39.000,44.0,108940.0,108940.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +174,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2025-10-27 19:01:08.000000,2025-10-20 21:15:57,603.0,104.0,31.0,88.0,74.0,84.0,976.0,Describing statistical models in Python using symbolic formulas.,23.0,34,True,11.0,2025-10-20 16:20:32.000,1.0.2,16.0,,patsy,conda-forge/patsy,,,,128602.0,127917.0,https://pypi.org/project/patsy,2025-10-20 16:17:36.000,685.0,22129648.0,22509567.0,https://anaconda.org/conda-forge/patsy,2025-10-20 22:13:01.341,18616039.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +175,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2025-10-28 03:40:48.000000,2025-10-28 03:40:29,1567.0,187.0,35.0,146.0,20.0,97.0,814.0,Snowball compiler and stemming algorithms.,41.0,34,True,130.0,2025-05-09 16:34:50.000,3.0.1,13.0,,snowballstemmer,conda-forge/snowballstemmer,,,,561.0,11.0,https://pypi.org/project/snowballstemmer,2025-05-09 16:34:50.000,550.0,24191349.0,24382466.0,https://anaconda.org/conda-forge/snowballstemmer,2025-05-20 13:59:21.629,10893720.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +176,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2025-10-21 13:54:30.000000,2025-10-21 13:54:30,6178.0,261.0,30.0,886.0,130.0,417.0,744.0,Python package to access a cacophony of neuro-imaging file formats.,109.0,34,True,41.0,2024-10-23 14:19:52.000,5.3.2,45.0,,nibabel,conda-forge/nibabel,,,,31518.0,30337.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,914900.0,931231.0,https://anaconda.org/conda-forge/nibabel,2025-04-22 14:56:22.960,1045232.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +177,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2025-10-13 17:34:46.000000,2025-09-26 06:54:08,3961.0,4520.0,385.0,4400.0,475.0,1299.0,41219.0,"Making large AI models cheaper, faster and more accessible.",197.0,33,True,117.0,2025-06-04 06:00:47.000,0.5.0,50.0,,,,,,,530.0,530.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +178,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,ICU,2018-08-02 17:56:45.000,2025-10-30 13:28:31.000000,2025-10-29 18:08:22,19701.0,5914.0,427.0,6913.0,194.0,4299.0,36692.0,Federated query engine for AI - The only MCP Server youll ever need.,878.0,33,False,117.0,2025-10-27 07:36:36.000,25.10.1,560.0,,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2025-10-27 07:36:36.000,,30450.0,30450.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +179,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2025-10-30 14:47:37.000000,2025-10-30 14:45:52,10838.0,3635.0,272.0,11902.0,128.0,883.0,30457.0,You like pytorch? You like micrograd? You love tinygrad!.,425.0,33,True,1185.0,2025-08-19 21:11:27.000,0.11.0,13.0,tinygrad/tinygrad,,,,,['pytorch'],20.0,20.0,,,,,,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +180,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2025-06-19 12:52:51.000000,2025-06-19 12:52:50,3467.0,4072.0,669.0,1680.0,151.0,1987.0,26636.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",164.0,33,True,,2020-12-10 17:22:09.000,0.9.3,100.0,,deepspeech,conda-forge/deepspeech,,,['tensorflow'],567.0,543.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,5490.0,13304.0,https://anaconda.org/conda-forge/deepspeech,2025-04-22 14:57:58.207,4158.0,,,,,2.0,657336.0,,,,,,12.0,,,,,,,,,,,, +181,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/serve,https://github.com/jina-ai/serve,Apache-2.0,2020-02-13 17:04:44.000,2025-04-22 14:57:59.713000,2025-03-24 13:59:53,8644.0,2218.0,212.0,4226.0,,1947.0,21781.0,Build multimodal AI applications with cloud-native stack.,183.0,33,True,,2025-03-24 13:59:31.000,3.34.0,2492.0,jina-ai/serve,jina,conda-forge/jina-core,jinaai/jina,,,29.0,,https://pypi.org/project/jina,2025-03-24 13:59:31.000,29.0,123644.0,152541.0,https://anaconda.org/conda-forge/jina-core,2025-04-22 14:57:59.713,107814.0,https://hub.docker.com/r/jinaai/jina,2025-03-24 14:11:41.059929,9.0,1815433.0,2.0,,,,,,,,,,,,,,,,,,, +182,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2025-10-13 13:43:33.000000,2025-10-13 06:27:32,9272.0,3217.0,283.0,1344.0,162.0,726.0,21068.0,Best Practices on Recommendation Systems.,141.0,33,True,24.0,2024-12-24 07:39:57.000,1.2.1,14.0,recommenders-team/recommenders,recommenders,,,,,182.0,178.0,https://pypi.org/project/recommenders,2024-12-24 07:18:07.000,4.0,14644.0,14653.0,,,,,,,,1.0,793.0,,,,,,,,,,,,,,,,,, +183,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,3616.0,467.0,671.0,590.0,672.0,16655.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,245.0,33,False,,2020-06-17 16:31:34.798,1.15.7,79.0,,tensor2tensor,,,,['tensorflow'],1584.0,1570.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,11902.0,11902.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +184,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2025-09-03 11:14:59.896000,2025-08-31 20:48:23,584.0,2333.0,212.0,267.0,140.0,423.0,10455.0,A little word cloud generator in Python.,75.0,33,True,3.0,2024-11-10 14:34:59.000,1.9.4,21.0,,wordcloud,conda-forge/wordcloud,,,,567.0,21.0,https://pypi.org/project/wordcloud,2024-11-10 14:34:59.000,546.0,1997686.0,2010203.0,https://anaconda.org/conda-forge/wordcloud,2025-09-03 11:14:59.896,788617.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +185,Perspective,finos/perspective,data-viz,,https://github.com/perspective-dev/perspective,https://github.com/perspective-dev/perspective,Apache-2.0,2017-11-02 16:27:54.000,2025-10-29 17:47:42.000000,2025-10-29 16:17:14,6452.0,1238.0,123.0,1871.0,107.0,784.0,9522.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",100.0,33,True,36.0,2025-10-28 14:29:44.000,4.0.0,160.0,perspective-dev/perspective,perspective-python,conda-forge/perspective,,,['jupyter'],227.0,190.0,https://pypi.org/project/perspective-python,2025-10-28 14:26:20.000,31.0,17045.0,55155.0,https://anaconda.org/conda-forge/perspective,2025-10-28 20:23:05.337,2372013.0,,,,,2.0,12009.0,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2025-09-03 19:50:14.474,6.0,604.0,,,,,,,,,,,,, +186,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2025-04-22 14:57:07.942000,2024-08-01 18:55:53,10421.0,1931.0,334.0,3434.0,143.0,1142.0,8612.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,33,False,,2024-08-08 17:57:21.000,9.10.0,30.0,,vowpalwabbit,conda-forge/vowpalwabbit,,,,42.0,2.0,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,54011.0,60883.0,https://anaconda.org/conda-forge/vowpalwabbit,2025-04-22 14:57:07.942,412348.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +187,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2025-10-26 13:18:41.000000,2025-10-26 13:18:41,1921.0,852.0,123.0,309.0,515.0,346.0,7982.0,Uniform Manifold Approximation and Projection.,143.0,33,True,10.0,2025-07-02 23:35:45.000,release-0.5.9.post2,43.0,,umap-learn,conda-forge/umap-learn,,,,1336.0,1.0,https://pypi.org/project/umap-learn,2025-07-03 00:18:01.000,1335.0,2732079.0,2782615.0,https://anaconda.org/conda-forge/umap-learn,2025-07-03 12:14:59.781,3234354.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +188,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2025-08-26 08:42:59.000000,2025-08-14 14:22:56,896.0,1313.0,136.0,537.0,55.0,576.0,7051.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,89.0,33,True,7.0,2025-08-14 14:32:18.000,0.14.0,40.0,,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],603.0,,https://pypi.org/project/imbalanced-learn,2025-08-14 14:15:30.000,603.0,14482116.0,14493869.0,https://anaconda.org/conda-forge/imbalanced-learn,2025-08-14 14:52:39.946,752208.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +189,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2025-10-14 17:32:07.000000,2024-06-27 17:56:21,2895.0,2256.0,172.0,1154.0,33.0,1437.0,6958.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,33,False,,2024-03-18 14:02:12.000,3.5.1,50.0,,OpenNMT-py,,,,['pytorch'],368.0,345.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,31459.0,31459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +190,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2025-10-28 15:46:06.000000,2025-10-28 15:46:03,341.0,1238.0,207.0,304.0,143.0,383.0,6918.0,Official Kaggle API.,49.0,33,True,13.0,2025-05-08 21:11:47.000,1.7.4.5,80.0,,kaggle,conda-forge/kaggle,,,,262.0,21.0,https://pypi.org/project/kaggle,2025-05-08 21:17:18.000,241.0,611887.0,616064.0,https://anaconda.org/conda-forge/kaggle,2025-08-11 03:18:35.966,254843.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +191,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2025-10-24 08:38:04.000000,2025-10-24 08:36:54,3772.0,767.0,142.0,150.0,110.0,376.0,6701.0,Fit interpretable models. Explain blackbox machine learning.,53.0,33,True,19.0,2025-10-15 08:00:58.000,0.7.3,68.0,,interpret,,,,['jupyter'],984.0,926.0,https://pypi.org/project/interpret,2025-10-14 06:25:49.000,58.0,225941.0,225941.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +192,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2025-08-17 17:11:18.000000,2025-08-17 17:08:48,1309.0,663.0,59.0,149.0,74.0,454.0,6243.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",45.0,33,True,8.0,2025-08-17 17:11:18.000,2.9.0,216.0,,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],2995.0,2927.0,https://pypi.org/project/pytorch-metric-learning,2025-08-17 17:11:18.000,68.0,2304211.0,2304402.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2025-03-25 16:28:35.582,13233.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +193,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2025-04-22 14:57:21.231000,2022-10-17 02:18:00,30611.0,1366.0,272.0,6588.0,12.0,2032.0,5912.0,A flexible framework of neural networks for deep learning.,328.0,33,False,,2022-06-29 08:19:03.000,7.8.1.post1,111.0,,chainer,conda-forge/chainer,,,,3492.0,3434.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,24409.0,24784.0,https://anaconda.org/conda-forge/chainer,2025-04-22 14:57:21.231,25522.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +194,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2025-10-27 01:33:44.000000,2025-10-27 01:33:44,30694.0,1660.0,184.0,2358.0,20.0,1650.0,5517.0,"mlpack: a fast, header-only C++ machine learning library.",335.0,33,True,36.0,2025-05-22 17:34:34.000,4.6.2,52.0,,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2025-05-22 17:34:34.000,6.0,4740.0,11122.0,https://anaconda.org/conda-forge/mlpack,2025-04-22 14:56:52.929,408461.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +195,Captum,pytorch/captum,interpretability,,https://github.com/meta-pytorch/captum,https://github.com/meta-pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2025-10-23 18:29:01.000000,2025-10-23 18:22:12,1370.0,541.0,293.0,1083.0,254.0,352.0,5446.0,Model interpretability and understanding for PyTorch.,137.0,33,True,17.0,2025-03-27 04:51:30.000,0.8.0,11.0,meta-pytorch/captum,captum,conda-forge/captum,,,['pytorch'],3672.0,3501.0,https://pypi.org/project/captum,2025-03-27 04:48:08.000,171.0,325319.0,328217.0,https://anaconda.org/conda-forge/captum,2025-04-22 14:58:08.009,133338.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +196,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2025-06-19 23:52:23.000000,2025-06-19 23:52:23,1661.0,876.0,114.0,544.0,148.0,348.0,5079.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,112.0,33,True,,2025-01-26 16:02:43.000,0.23.4,55.0,,mlxtend,conda-forge/mlxtend,,,['sklearn'],20995.0,20798.0,https://pypi.org/project/mlxtend,2025-01-26 16:02:43.000,197.0,964568.0,971912.0,https://anaconda.org/conda-forge/mlxtend,2025-04-22 14:56:38.886,462687.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +197,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2025-08-06 19:17:08.000000,2025-03-17 18:20:57,3891.0,888.0,52.0,1761.0,446.0,1275.0,4383.0,"Serve, optimize and scale PyTorch models in production.",220.0,33,True,,2024-09-30 22:46:39.000,0.12.0,26.0,,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],926.0,900.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,26.0,96941.0,126550.0,https://anaconda.org/pytorch/torchserve,2025-03-25 16:24:31.948,574873.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,32.0,1496018.0,2.0,8008.0,,,,,,,,,,,,,,,,,, +198,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/USearch,https://github.com/unum-cloud/USearch,Apache-2.0,2023-02-22 09:20:20.000,2025-10-29 19:30:44.897000,2025-10-29 19:26:04,2232.0,234.0,37.0,433.0,80.0,167.0,3223.0,"Fast Open-Source Search & Clustering engine for Vectors & Arbitrary Objects in C++, C, Python, JavaScript, Rust, Java,..",81.0,33,True,136.0,2025-10-29 19:30:44.897,2.21.2,167.0,,usearch,,unum/usearch,,,275.0,208.0,https://pypi.org/project/usearch,2025-09-04 14:20:38.000,44.0,138920.0,161903.0,,,,https://hub.docker.com/r/unum/usearch,2025-10-29 19:26:59.229123,1.0,476.0,2.0,110993.0,usearch,https://www.npmjs.com/package/usearch,2025-10-29 19:30:44.897,23.0,18144.0,,,,,,,,,,,,, +199,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2025-10-28 10:58:08.000000,2025-10-27 10:49:04,1694.0,354.0,57.0,251.0,146.0,234.0,3054.0,The machine learning toolkit for time series analysis in Python.,46.0,33,True,24.0,2025-07-02 14:16:28.000,0.6.4,101.0,,tslearn,conda-forge/tslearn,,,['sklearn'],2010.0,1903.0,https://pypi.org/project/tslearn,2025-07-02 14:16:28.000,107.0,397057.0,424014.0,https://anaconda.org/conda-forge/tslearn,2025-07-03 08:03:58.545,1725311.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +200,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2025-07-11 11:43:10.000000,2025-03-07 10:28:57,5346.0,283.0,75.0,805.0,22.0,133.0,2878.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",67.0,33,True,,2025-04-04 11:49:38.000,8.3.6,245.0,,thinc,conda-forge/thinc,,,,70401.0,70243.0,https://pypi.org/project/thinc,2025-04-04 11:49:38.000,158.0,16584587.0,16645082.0,https://anaconda.org/conda-forge/thinc,2025-07-06 10:53:05.899,3931024.0,,,,,2.0,2008.0,,,,,,,,,,,,,,,,,, +201,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2025-10-29 08:54:36.000000,2025-10-29 08:54:35,1083.0,172.0,22.0,520.0,217.0,397.0,2649.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,81.0,33,True,34.0,2025-10-09 10:15:42.000,0.13.2,62.0,,equinox,,,,['jax'],1800.0,1448.0,https://pypi.org/project/equinox,2025-10-09 10:15:37.000,352.0,495921.0,495921.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +202,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2025-10-27 15:24:05.554000,2025-10-12 04:00:40,1622.0,295.0,56.0,148.0,86.0,201.0,1998.0,"CUDA integration for Python, plus shiny features.",83.0,33,True,4.0,2025-09-09 22:21:11.000,2025.1.2,58.0,,pycuda,conda-forge/pycuda,,,,4176.0,3977.0,https://pypi.org/project/pycuda,2025-09-09 22:21:11.000,199.0,66082.0,86669.0,https://anaconda.org/conda-forge/pycuda,2025-10-27 15:24:05.554,1132297.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +203,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2025-06-19 13:12:24.000000,2025-06-19 13:12:24,1212.0,361.0,62.0,635.0,295.0,366.0,1533.0,A Jupyter - Leaflet.js bridge.,94.0,33,True,,2025-06-13 08:33:37.000,0.20.0,85.0,,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],18423.0,18069.0,https://pypi.org/project/ipyleaflet,2025-06-13 08:33:37.000,345.0,227525.0,257260.0,https://anaconda.org/conda-forge/ipyleaflet,2025-06-13 19:35:58.799,1759783.0,,,,,3.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2025-06-13 08:26:24.799,9.0,2662.0,,,,,,,,,,,,, +204,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2025-10-21 13:02:21.450000,2025-10-21 08:34:10,1292.0,271.0,48.0,605.0,35.0,190.0,1451.0,ARCH models in Python.,39.0,33,False,84.0,2025-10-21 08:40:10.000,8.0.0,50.0,,arch,conda-forge/arch-py,,,,3540.0,3383.0,https://pypi.org/project/arch,2025-10-21 08:40:10.000,157.0,537703.0,548156.0,https://anaconda.org/conda-forge/arch-py,2025-10-21 13:02:21.450,669004.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +205,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2025-10-30 14:18:51.000000,2025-09-22 14:50:01,5147.0,169.0,11.0,820.0,18.0,191.0,1395.0,Time series forecasting with machine learning models.,23.0,33,True,245.0,2025-09-22 18:32:56.000,0.18.0,34.0,skforecast/skforecast,skforecast,,,,['sklearn'],505.0,487.0,https://pypi.org/project/skforecast,2025-09-22 18:12:42.000,18.0,96482.0,96482.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +206,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2025-10-29 15:58:49.000000,2025-10-29 10:47:10,3469.0,131.0,12.0,396.0,5.0,222.0,882.0,Python bindings for MPI.,28.0,33,True,87.0,2025-10-10 13:53:40.000,4.1.1,34.0,,mpi4py,conda-forge/mpi4py,,,,12844.0,11836.0,https://pypi.org/project/mpi4py,2025-10-10 13:53:40.000,1008.0,977019.0,1052464.0,https://anaconda.org/conda-forge/mpi4py,2025-10-14 10:45:42.984,4489163.0,,,,,2.0,39447.0,,,,,,,,,,,,,,,,,, +207,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2025-10-27 04:13:13.000000,2025-04-28 11:22:23,15122.0,530.0,46.0,2352.0,420.0,974.0,793.0,Workflows and interfaces for neuroimaging packages.,264.0,33,True,,2025-03-19 23:38:43.000,1.10.0,68.0,,nipype,conda-forge/nipype,,,,7346.0,7193.0,https://pypi.org/project/nipype,2025-03-19 23:30:05.000,153.0,356185.0,372125.0,https://anaconda.org/conda-forge/nipype,2025-05-05 13:43:30.848,988334.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +208,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2025-10-26 19:44:12.000000,2025-10-26 19:43:12,292.0,110.0,21.0,57.0,40.0,58.0,517.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,27.0,33,True,10.0,2025-10-26 19:44:12.000,3.1.0,29.0,,audioread,conda-forge/audioread,,,,35141.0,34959.0,https://pypi.org/project/audioread,2025-10-26 19:44:12.000,182.0,4789010.0,4808433.0,https://anaconda.org/conda-forge/audioread,2025-10-02 18:37:55.287,1165387.0,,,,,2.0,,,,,,,2.0,,,,,,,,,,,, +209,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2025-10-17 05:22:09.000000,2025-10-17 05:20:16,2043.0,4997.0,415.0,1026.0,293.0,748.0,32925.0,"Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring..",144.0,32,True,12.0,2025-08-15 09:51:40.000,0.9.7,36.0,,pyqlib,,,,['pytorch'],24.0,21.0,https://pypi.org/project/pyqlib,2025-08-15 09:51:40.000,3.0,15525.0,15539.0,,,,,,,,1.0,914.0,,,,,,,,,,,,,,,,,, +210,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2025-04-22 14:57:16.666000,2025-04-02 16:22:19,540.0,3028.0,394.0,128.0,271.0,561.0,27486.0,Deezer source separation library including pretrained models.,22.0,32,True,,2025-04-03 08:14:05.000,2.4.2,38.0,,spleeter,conda-forge/spleeter,,,['tensorflow'],1093.0,1075.0,https://pypi.org/project/spleeter,2025-04-03 08:14:05.000,18.0,25676.0,88377.0,https://anaconda.org/conda-forge/spleeter,2025-04-22 14:57:16.666,118338.0,,,,,2.0,4394524.0,,,,,,,,,,,,,,,,,, +211,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2025-04-22 14:57:35.321000,2020-10-14 16:36:49,6226.0,4899.0,1016.0,1871.0,364.0,661.0,19099.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,,2020-10-05 15:46:20.429,1.4.1,30.0,,zipline,conda-forge/zipline,,,,1055.0,1045.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,1614.0,1800.0,https://anaconda.org/conda-forge/zipline,2025-04-22 14:57:35.321,11395.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +212,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2025-04-22 14:56:30.659000,2021-07-29 23:17:25,531.0,1841.0,259.0,122.0,124.0,535.0,12030.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,,2020-04-03 22:05:03.000,0.2.0.0,39.0,,lime,conda-forge/lime,,,,9715.0,9512.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,212928.0,217620.0,https://anaconda.org/conda-forge/lime,2025-04-22 14:56:30.659,300321.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +213,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2025-10-20 22:50:11.000000,2024-10-17 22:52:09,3861.0,1193.0,191.0,2876.0,45.0,1038.0,11606.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,32,True,,2024-07-30 00:29:49.000,0.10.4,56.0,,ludwig,,,,['tensorflow'],344.0,338.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,3758.0,3758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +214,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,1137.0,337.0,1683.0,523.0,1294.0,11201.0,Turi Create simplifies the development of custom machine learning models.,88.0,32,False,,2020-09-30 22:51:40.000,6.4.1,31.0,,turicreate,,,,,402.0,397.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,9184.0,9318.0,,,,,,,,3.0,12689.0,,,,,,,,,,,,,,,,,, +215,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,2091.0,277.0,3401.0,51.0,1494.0,10623.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,218.0,32,False,,2023-06-06 20:46:16.091,1.7.2,25.0,,parlai,,,,['pytorch'],283.0,274.0,https://pypi.org/project/parlai,2023-06-06 20:46:16.091,9.0,5056.0,5056.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +216,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2025-09-11 21:32:19.000000,2025-09-11 21:30:34,551.0,1579.0,275.0,443.0,303.0,645.0,10013.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,86.0,32,False,7.0,2025-07-03 21:14:13.000,1.1.0,65.0,,tpot,conda-forge/tpot,,,['sklearn'],3605.0,3559.0,https://pypi.org/project/tpot,2025-07-03 21:14:13.000,46.0,43009.0,48152.0,https://anaconda.org/conda-forge/tpot,2025-07-07 02:18:11.467,329175.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +217,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-12-16 18:00:41.000000,2024-12-16 18:00:41,1394.0,1399.0,295.0,897.0,151.0,760.0,9277.0,AutoML library for deep learning.,146.0,32,True,,2024-03-20 21:40:33.000,2.0.0,59.0,,autokeras,,,,['tensorflow'],905.0,892.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,14619.0,14837.0,,,,,,,,2.0,20731.0,,,,,,,,,,,,,,,,,, +218,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2025-10-30 07:38:12.000000,2025-10-26 10:41:47,1404.0,966.0,60.0,1186.0,247.0,1524.0,8989.0,A python library for user-friendly forecasting and anomaly detection on time series.,140.0,32,True,36.0,2025-10-03 16:03:55.000,0.38.0,52.0,,u8darts,conda-forge/u8darts-all,unit8/darts,,,10.0,,https://pypi.org/project/u8darts,2025-10-03 16:03:55.000,10.0,86043.0,87904.0,https://anaconda.org/conda-forge/u8darts-all,2025-10-05 12:24:49.713,93701.0,https://hub.docker.com/r/unit8/darts,2025-10-03 16:08:40.994030,,2076.0,2.0,,,,,,,,,,,,,,,,,,, +219,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2025-07-09 15:30:54.000000,2025-07-09 15:30:54,2513.0,995.0,197.0,2349.0,270.0,853.0,8891.0,Deep universal probabilistic programming with Python and PyTorch.,162.0,32,True,,2024-06-02 00:37:37.000,1.9.1,36.0,,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,626242.0,631249.0,https://anaconda.org/conda-forge/pyro-ppl,2025-04-22 14:57:47.967,275411.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +220,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2025-10-29 18:25:33.000000,2025-10-29 18:25:29,1234.0,1414.0,95.0,715.0,735.0,544.0,8834.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,135.0,32,True,12.0,,,4.0,,,conda-forge/nvidia-apex,,,['pytorch'],3286.0,3286.0,,,,,9694.0,https://anaconda.org/conda-forge/nvidia-apex,2025-07-26 05:52:25.085,581675.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +221,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2025-10-25 11:04:04.000000,2024-11-13 18:39:43,1380.0,904.0,155.0,1741.0,161.0,865.0,7557.0,An open source python library for automated feature engineering.,75.0,32,True,,2024-05-14 18:59:58.000,1.31.0,106.0,,featuretools,conda-forge/featuretools,,,,2185.0,2111.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,103429.0,107675.0,https://anaconda.org/conda-forge/featuretools,2025-04-22 14:56:57.460,271750.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +222,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2025-04-22 14:58:03.026000,2023-08-06 00:30:36,2944.0,1797.0,189.0,206.0,14.0,1343.0,6305.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,False,,2020-04-24 19:04:45.487,0.10.1,37.0,,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1785.0,1767.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,27634.0,27942.0,https://anaconda.org/conda-forge/tensorpack,2025-04-22 14:58:03.026,14766.0,,,,,3.0,193.0,,,,,,,,,,,,,,,,,, +223,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2025-10-13 19:13:55.000000,2025-02-17 21:20:41,638.0,734.0,104.0,203.0,12.0,361.0,6249.0,Python-tesseract is an optical character recognition (OCR) tool for python.,50.0,32,True,,2024-08-16 02:36:10.000,0.3.13,28.0,,pytesseract,conda-forge/pytesseract,,,,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,5584706.0,5595684.0,https://anaconda.org/conda-forge/pytesseract,2025-04-22 14:57:07.821,691670.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +224,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2025-10-23 16:16:05.000000,2025-10-23 16:16:01,1124.0,400.0,77.0,570.0,66.0,473.0,6125.0,A scikit-learn compatible neural network library that wraps PyTorch.,68.0,32,True,6.0,2025-08-08 11:11:48.000,1.2.0,22.0,,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1845.0,1736.0,https://pypi.org/project/skorch,2025-08-08 11:04:49.000,109.0,152191.0,165499.0,https://anaconda.org/conda-forge/skorch,2025-08-08 23:21:44.730,811793.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +225,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2025-10-29 20:02:10.000000,2025-06-26 14:30:56,2264.0,355.0,39.0,2270.0,399.0,675.0,5850.0,Aim An easy-to-use & supercharged open-source experiment tracker.,82.0,32,True,,2025-05-08 10:24:23.000,3.29.1,1294.0,,aim,conda-forge/aim,,,,1194.0,1138.0,https://pypi.org/project/aim,2025-06-11 20:11:07.000,56.0,118538.0,121328.0,https://anaconda.org/conda-forge/aim,2025-04-22 14:57:56.531,142297.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +226,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2025-10-05 08:35:18.000000,2025-10-05 08:30:56,3983.0,587.0,82.0,666.0,122.0,504.0,5594.0,Online machine learning in Python.,129.0,32,True,28.0,2024-11-25 23:59:25.000,0.22.0,23.0,,river,conda-forge/river,,,,868.0,804.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,90788.0,93172.0,https://anaconda.org/conda-forge/river,2025-04-22 14:57:50.380,128739.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +227,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2025-09-14 23:16:03.000000,2024-06-17 19:23:44,491.0,742.0,64.0,247.0,262.0,165.0,4960.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,False,,2023-12-03 04:16:17.000,0.8.0,11.0,,hnswlib,conda-forge/hnswlib,,,,8620.0,8393.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,227.0,589612.0,596564.0,https://anaconda.org/conda-forge/hnswlib,2025-08-30 15:22:17.304,403230.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +228,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2025-04-22 14:57:46.184000,2023-11-02 13:49:44,662.0,1101.0,149.0,134.0,139.0,104.0,4800.0,Technical Analysis Library using Pandas and Numpy.,34.0,32,False,,2023-11-02 13:53:35.000,0.11.0,56.0,,ta,conda-forge/ta,,,,10024.0,9917.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,583642.0,584385.0,https://anaconda.org/conda-forge/ta,2025-04-22 14:57:46.184,41633.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +229,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2025-04-22 14:56:20.783000,2023-11-23 21:41:49,1136.0,664.0,85.0,278.0,48.0,254.0,4713.0,Geocoding library for Python.,133.0,32,False,,2023-11-23 21:50:14.000,2.4.1,61.0,,geopy,conda-forge/geopy,,,,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,8684678.0,8712716.0,https://anaconda.org/conda-forge/geopy,2025-04-22 14:56:20.783,1794384.0,,,,,3.0,177.0,,,,,,,,,,,,,,,,,, +230,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2025-10-24 19:27:30.000000,2025-10-19 02:22:51,2029.0,711.0,41.0,1048.0,549.0,367.0,4633.0,Time series forecasting with PyTorch.,79.0,32,True,26.0,2025-10-10 13:27:01.000,1.5.0,40.0,sktime/pytorch-forecasting,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,699.0,672.0,https://pypi.org/project/pytorch-forecasting,2025-10-10 14:17:38.000,27.0,268801.0,270226.0,https://anaconda.org/conda-forge/pytorch-forecasting,2025-07-05 15:50:09.806,86984.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +231,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2025-04-22 14:56:29.803000,2025-04-17 10:10:37,347.0,342.0,60.0,80.0,23.0,126.0,3744.0,A Python Perceptual Image Hashing Module.,29.0,32,True,,2025-02-01 08:45:36.000,4.3.2,21.0,,ImageHash,conda-forge/imagehash,,,,18129.0,17860.0,https://pypi.org/project/ImageHash,2025-02-01 08:45:36.000,269.0,5634482.0,5643005.0,https://anaconda.org/conda-forge/imagehash,2025-04-22 14:56:29.803,502901.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +232,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2025-09-10 21:39:02.000000,2025-09-10 21:39:02,1313.0,812.0,333.0,1476.0,332.0,522.0,3560.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,32,True,1.0,2024-04-24 16:20:45.000,0.18.0,34.0,,torchtext,,,,['pytorch'],285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,728945.0,728945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +233,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2025-10-23 14:34:41.000000,2025-10-22 04:03:32,1587.0,463.0,90.0,130.0,91.0,352.0,3545.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,32,True,6.0,2025-10-23 14:34:41.000,2.1.2,33.0,,nmslib,conda-forge/nmslib,,,,1461.0,1394.0,https://pypi.org/project/nmslib,2025-10-23 14:34:41.000,67.0,279595.0,283474.0,https://anaconda.org/conda-forge/nmslib,2025-08-30 13:21:39.419,232783.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +234,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2025-10-11 13:44:30.000000,2025-10-11 13:44:30,1082.0,505.0,54.0,163.0,359.0,175.0,3013.0,A high performance implementation of HDBSCAN clustering.,97.0,32,True,3.0,2024-11-18 16:14:10.000,0.8.40,57.0,,hdbscan,conda-forge/hdbscan,,,['sklearn'],7992.0,7640.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,1115140.0,1162418.0,https://anaconda.org/conda-forge/hdbscan,2025-09-09 21:44:37.104,2836701.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +235,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2025-10-01 18:06:58.000000,2024-06-24 17:09:39,1087.0,401.0,56.0,502.0,234.0,275.0,2909.0,A Hyperparameter Tuning Library for Keras.,61.0,32,False,,2024-03-04 19:41:39.000,1.4.7,35.0,,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],6243.0,6128.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,989149.0,990498.0,https://anaconda.org/conda-forge/keras-tuner,2025-04-22 14:57:22.925,67457.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +236,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2025-07-26 15:19:34.264000,2021-10-12 13:32:38,1570.0,545.0,59.0,546.0,318.0,393.0,2799.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,,2024-06-04 19:12:54.000,0.10.2,23.0,,scikit-optimize,conda-forge/scikit-optimize,,,,9082.0,8714.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,922972.0,936325.0,https://anaconda.org/conda-forge/scikit-optimize,2025-07-26 15:19:34.264,827900.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +237,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2025-04-22 14:56:24.379000,2024-10-29 11:59:38,2311.0,559.0,65.0,489.0,267.0,715.0,2516.0,Survival analysis in Python.,120.0,32,True,,2024-10-29 12:00:41.000,0.30.0,172.0,,lifelines,conda-forge/lifelines,,,,4352.0,4191.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,1543199.0,1550925.0,https://anaconda.org/conda-forge/lifelines,2025-04-22 14:56:24.379,502214.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +238,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/meta-pytorch/torchrec,https://github.com/meta-pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2025-10-30 11:35:15.000000,2025-10-30 03:43:26,2940.0,559.0,35.0,3250.0,156.0,162.0,2384.0,Pytorch domain library for recommendation systems.,395.0,32,True,202.0,2025-09-13 22:45:50.000,1.3.0,77.0,meta-pytorch/torchrec,torchrec-nightly-cpu,,,,,245.0,245.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,163.0,163.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +239,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2025-09-26 20:54:50.000000,2025-09-26 20:54:48,1420.0,205.0,18.0,208.0,56.0,153.0,2162.0,"A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just..",34.0,32,True,19.0,2025-09-13 11:19:17.000,0.43.1,48.0,,audiomentations,,,,,883.0,845.0,https://pypi.org/project/audiomentations,2025-09-13 11:19:17.000,38.0,106003.0,106003.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +240,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2025-10-27 06:20:57.000000,2025-10-11 19:25:23,590.0,163.0,38.0,93.0,4.0,,2160.0,a python library for doing approximate and phonetic matching of strings.,37.0,32,True,6.0,2025-10-11 19:34:53.000,1.2.1,48.0,,jellyfish,conda-forge/jellyfish,,,,15359.0,15038.0,https://pypi.org/project/jellyfish,2025-10-11 19:34:53.000,321.0,8621313.0,8647626.0,https://anaconda.org/conda-forge/jellyfish,2025-04-22 14:56:27.864,1684080.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +241,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2025-10-10 13:55:39.000000,2025-10-10 13:14:04,230.0,260.0,55.0,93.0,43.0,244.0,2123.0,A Python wrapper for the tesseract-ocr API.,34.0,32,True,12.0,2025-10-10 13:55:39.000,2.9.1,25.0,,tesserocr,conda-forge/tesserocr,,,,1361.0,1305.0,https://pypi.org/project/tesserocr,2025-10-10 13:55:39.000,56.0,206784.0,211417.0,https://anaconda.org/conda-forge/tesserocr,2025-04-22 14:57:14.353,291263.0,,,,,2.0,1153.0,,,,,,,,,,,,,,,,,, +242,Coqui TTS,idiap/coqui-ai-TTS,audio,,https://github.com/idiap/coqui-ai-TTS,https://github.com/idiap/coqui-ai-TTS,MPL-2.0,2023-10-31 10:39:03.000,2025-10-16 09:35:48.000000,2025-10-16 09:35:43,5171.0,242.0,33.0,166.0,24.0,138.0,1943.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",195.0,32,True,31.0,2025-09-25 14:21:50.000,0.27.2,18.0,,coqui-tts,,,,"['pytorch', 'tensorflow']",795.0,761.0,https://pypi.org/project/coqui-tts,2025-09-25 14:21:50.000,34.0,93950.0,94162.0,,,,,,,,2.0,3833.0,,,,,,,,,,,,,,,,,, +243,Opacus,pytorch/opacus,privacy-ml,,https://github.com/meta-pytorch/opacus,https://github.com/meta-pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2025-10-27 15:45:36.000000,2025-10-27 15:40:12,795.0,372.0,44.0,462.0,68.0,276.0,1872.0,Training PyTorch models with differential privacy.,87.0,32,True,11.0,2025-05-27 16:23:55.000,1.5.4,26.0,meta-pytorch/opacus,opacus,conda-forge/opacus,,,['pytorch'],1256.0,1207.0,https://pypi.org/project/opacus,2025-05-27 16:23:55.000,49.0,91904.0,92535.0,https://anaconda.org/conda-forge/opacus,2025-07-09 13:00:28.839,28306.0,,,,,1.0,149.0,,,,,,,,,,,,,,,,,, +244,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2025-09-04 15:43:46.000000,2024-04-15 22:25:34,1519.0,612.0,53.0,1888.0,92.0,900.0,1707.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,206.0,32,False,,2023-11-28 01:45:31.000,0.23.0,38.0,,tensorflow-addons,,,,['tensorflow'],371.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,371.0,971207.0,971207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +245,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2025-04-22 14:57:38.334000,2024-11-07 23:05:03,1082.0,250.0,35.0,260.0,66.0,274.0,1688.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,32,True,,2023-10-23 16:52:00.000,2.0.4,44.0,,pmdarima,conda-forge/pmdarima,,,,12882.0,12729.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,7480237.0,7503915.0,https://anaconda.org/conda-forge/pmdarima,2025-04-22 14:57:38.334,1420737.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +246,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2025-04-22 14:56:32.225000,2018-10-12 15:53:05,1251.0,287.0,50.0,162.0,114.0,220.0,1646.0,Python Geocoder.,75.0,32,False,,2021-12-15 15:58:16.110,1.1.4,110.0,,geocoder,conda-forge/geocoder,,,,16164.0,15952.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,2359625.0,2377231.0,https://anaconda.org/conda-forge/geocoder,2025-04-22 14:56:32.225,176068.0,,,,,3.0,,,,,,,,,,,,,,,geocoder,,,, +247,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2025-10-24 12:06:10.000000,2025-10-24 12:06:08,820.0,113.0,23.0,694.0,386.0,549.0,1283.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",52.0,32,True,16.0,2025-08-29 11:09:46.000,0.12.1,88.0,,hvplot,conda-forge/hvplot,,,,7599.0,7330.0,https://pypi.org/project/hvplot,2025-08-29 08:27:35.000,269.0,308938.0,322402.0,https://anaconda.org/conda-forge/hvplot,2025-09-04 07:32:57.162,861755.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +248,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2025-10-27 06:26:30.000000,2025-10-27 06:26:26,1370.0,222.0,19.0,199.0,27.0,221.0,1235.0,Survival analysis built on top of scikit-learn.,23.0,32,False,45.0,2025-08-21 12:31:46.000,0.25.0,33.0,,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],1005.0,945.0,https://pypi.org/project/scikit-survival,2025-08-21 12:31:46.000,60.0,197363.0,203658.0,https://anaconda.org/conda-forge/scikit-survival,2025-08-22 19:21:46.917,295905.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +249,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2025-10-28 19:17:36.000000,2025-10-28 19:17:32,360.0,3419.0,158.0,61.0,142.0,144.0,24298.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",24.0,31,True,14.0,2025-10-27 01:25:57.000,1.15.2,239.0,,vit-pytorch,,,,['pytorch'],49.0,21.0,https://pypi.org/project/vit-pytorch,2025-10-27 01:25:57.000,28.0,30698.0,30698.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +250,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2025-07-08 19:36:34.000000,2025-07-08 19:36:29,1425.0,3739.0,736.0,1146.0,417.0,589.0,19702.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,,2023-12-02 01:16:14.308,0.1.0,68.0,,magenta,,,,['tensorflow'],600.0,595.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,4825.0,4825.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +251,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,1825.0,278.0,3492.0,417.0,1681.0,14290.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",191.0,31,False,,2023-09-14 12:12:06.000,3.0,55.0,,nni,,,,,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,32449.0,32449.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +252,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2025-08-04 11:29:45.000000,2025-08-04 11:29:40,873.0,1302.0,413.0,99.0,32.0,161.0,9890.0,TensorFlow-based neural network library.,61.0,31,True,2.0,2024-01-02 11:15:06.000,2.0.2,29.0,google-deepmind/sonnet,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1500.0,1481.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,35433.0,36094.0,https://anaconda.org/conda-forge/sonnet,2025-04-22 14:57:17.453,46974.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +253,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2025-07-15 05:50:57.000000,2025-04-13 12:43:52,35229.0,1996.0,192.0,5885.0,49.0,3394.0,9801.0,Perform data science on data that remains in someone elses server.,517.0,31,True,,2025-02-13 11:13:19.000,0.9.5,332.0,,syft,,,,['pytorch'],6.0,1.0,https://pypi.org/project/syft,2025-04-13 12:44:04.000,5.0,32241.0,32338.0,,,,,,,,2.0,2147.0,,,,,,,,,,,,,,,,,, +254,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,2410.0,448.0,263.0,579.0,365.0,9620.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,,2020-11-11 19:26:11.000,0.5.0,8.0,,tflearn,,,,['tensorflow'],5255.0,5241.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,4269.0,4269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +255,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2025-04-22 14:56:25.369000,2021-09-09 20:54:41,384.0,875.0,256.0,148.0,106.0,104.0,9264.0,Fuzzy String Matching in Python.,70.0,31,False,,2020-02-13 22:14:12.000,0.18.0,27.0,,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,13387508.0,13399418.0,https://anaconda.org/conda-forge/fuzzywuzzy,2025-04-22 14:56:25.369,702701.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +256,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2025-10-10 08:14:02.000000,2025-10-10 08:14:02,2949.0,1698.0,90.0,1715.0,21.0,2178.0,9194.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,31,True,1.0,2024-11-05 11:28:52.000,2.10.0,20.0,,paddleseg,,,,['paddle'],1473.0,1466.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,3773.0,3773.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +257,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2025-08-31 10:01:31.361000,2025-08-30 18:54:50,573.0,1257.0,163.0,451.0,70.0,477.0,9002.0,Automatic extraction of relevant features from time series:.,100.0,31,True,2.0,2025-08-30 18:56:57.000,0.21.1,34.0,,tsfresh,conda-forge/tsfresh,,,['sklearn'],139.0,21.0,https://pypi.org/project/tsfresh,2025-08-30 18:56:57.000,118.0,339878.0,362933.0,https://anaconda.org/conda-forge/tsfresh,2025-08-31 10:01:31.361,1498618.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +258,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2025-10-27 15:21:53.000000,2023-04-18 11:08:13,2759.0,1291.0,209.0,735.0,201.0,831.0,7981.0,Automated Machine Learning with scikit-learn.,88.0,31,False,,2023-02-13 12:35:21.000,0.15.0,42.0,,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],762.0,728.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,12478.0,13141.0,https://anaconda.org/conda-forge/auto-sklearn,2025-04-22 14:57:49.654,35839.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,, +259,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2025-08-06 07:11:40.000000,2024-11-26 06:34:41,2711.0,1157.0,205.0,1054.0,28.0,615.0,6945.0,An open source library for deep learning end-to-end dialog systems and chatbots.,78.0,31,True,,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov/DeepPavlov,deeppavlov,,,,['tensorflow'],444.0,440.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,10703.0,10703.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +260,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2025-04-22 14:57:25.759000,2025-04-04 01:06:00,257.0,944.0,123.0,46.0,81.0,149.0,6203.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,23.0,31,True,,2024-11-21 20:20:09.000,0.2.5,9.0,,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],5627.0,5511.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,1040492.0,1040866.0,https://anaconda.org/conda-forge/torchdiffeq,2025-04-22 14:57:25.759,24326.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +261,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2025-04-22 14:56:47.184000,2020-07-15 13:46:58,1184.0,1869.0,303.0,298.0,165.0,268.0,6117.0,Portfolio and risk analytics in Python.,60.0,31,False,,2019-04-15 15:00:21.000,0.9.2,22.0,,pyfolio,conda-forge/pyfolio,,,,1374.0,1360.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,9973.0,10154.0,https://anaconda.org/conda-forge/pyfolio,2025-04-22 14:56:47.184,16725.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +262,anomalib,openvinotoolkit/anomalib,others,,https://github.com/open-edge-platform/anomalib,https://github.com/open-edge-platform/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2025-10-29 13:54:06.000000,2025-10-27 06:59:16,854.0,823.0,48.0,1278.0,82.0,1092.0,5082.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",98.0,31,True,41.0,2025-10-08 12:39:04.000,2.2.0,40.0,open-edge-platform/anomalib,anomalib,,,,,204.0,197.0,https://pypi.org/project/anomalib,2025-10-09 11:25:22.000,7.0,197155.0,198062.0,,,,,,,,2.0,41752.0,,,,,,-1.0,,,,,,,,,,,, +263,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2025-10-30 14:51:53.000000,2025-10-30 09:18:36,16281.0,595.0,74.0,4495.0,935.0,2027.0,4986.0,cuML - RAPIDS Machine Learning Library.,186.0,31,True,178.0,2025-10-08 22:37:51.000,25.10.00,48.0,,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,2494.0,2494.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +264,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2025-10-28 19:47:26.000000,2025-10-28 19:46:21,691.0,698.0,47.0,667.0,9.0,,4899.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,69.0,31,True,60.0,2025-09-28 22:20:42.000,0.11.36,121.0,,sahi,conda-forge/sahi,,,,1960.0,1917.0,https://pypi.org/project/sahi,2025-09-28 22:20:42.000,43.0,142666.0,145953.0,https://anaconda.org/conda-forge/sahi,2025-09-29 02:38:53.756,119160.0,,,,,2.0,43471.0,,,,,,,,,,,,,,,,,, +265,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2025-04-22 14:57:06.837000,2022-01-27 13:24:16,139.0,1026.0,150.0,119.0,162.0,79.0,4579.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,,2021-01-15 10:53:17.000,0.5.4,29.0,,imutils,conda-forge/imutils,,,,54396.0,53961.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,476712.0,480799.0,https://anaconda.org/conda-forge/imutils,2025-04-22 14:57:06.837,257508.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +266,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2025-04-11 20:16:33.000000,2025-03-14 16:42:02,1307.0,2506.0,1913.0,543.0,390.0,1078.0,4300.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,65.0,31,True,,2024-12-10 14:48:18.000,1.59.0,107.0,,azureml-sdk,,,,,31.0,,https://pypi.org/project/azureml-sdk,2025-04-11 20:16:33.000,31.0,2178758.0,2178766.0,,,,,,,,2.0,678.0,,,,,,,,,,,,,,,,,, +267,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2025-04-22 14:56:35.312000,2024-10-30 21:00:25,674.0,123.0,70.0,75.0,11.0,137.0,3983.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",22.0,31,True,,2024-10-26 00:51:07.000,6.3.1,55.0,,ftfy,conda-forge/ftfy,,,,33736.0,33165.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,10825463.0,10832161.0,https://anaconda.org/conda-forge/ftfy,2025-04-22 14:56:35.312,381729.0,,,,,2.0,104.0,,,,,,,,,,,,,,,,,, +268,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2025-04-22 14:56:37.895000,2022-08-22 18:21:12,586.0,644.0,80.0,91.0,74.0,162.0,3691.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,,2021-12-15 15:49:27.374,0.0.13,49.0,,filterpy,conda-forge/filterpy,,,,10007.0,9887.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1608239.0,1648276.0,https://anaconda.org/conda-forge/filterpy,2025-04-22 14:56:37.895,320303.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +269,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2025-09-25 15:38:06.000000,2025-09-25 15:38:06,1409.0,310.0,26.0,1282.0,79.0,534.0,3599.0,A python library for self-supervised learning on images.,72.0,31,True,5.0,2025-07-22 14:40:36.000,1.5.22,135.0,,lightly,,,,['pytorch'],532.0,512.0,https://pypi.org/project/lightly,2025-07-22 14:40:36.000,20.0,191701.0,191701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +270,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2025-04-22 14:56:51.855000,2025-01-17 12:09:38,1188.0,1654.0,145.0,211.0,18.0,695.0,3521.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,31,True,,2024-01-30 15:53:29.000,0.16.1,20.0,,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,2005762.0,2007814.0,https://anaconda.org/conda-forge/tensorflow-hub,2025-04-22 14:56:51.855,127240.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +271,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,704.0,177.0,737.0,277.0,710.0,3430.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,,2020-10-21 14:31:01.000,2.1.2,24.0,,dyNET,,,,,294.0,276.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,107780.0,108138.0,,,,,,,,3.0,38713.0,,,,,,,,,,,,,,,,,, +272,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2025-04-26 18:05:24.000000,2025-04-26 18:05:24,706.0,291.0,47.0,833.0,103.0,287.0,3384.0,PyTorch extensions for high performance and large scale training.,77.0,31,True,,2022-12-11 18:09:31.906,0.4.13,35.0,,fairscale,conda-forge/fairscale,,,['pytorch'],9172.0,9019.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,534417.0,545669.0,https://anaconda.org/conda-forge/fairscale,2025-04-22 14:58:04.549,528854.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +273,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2025-09-29 12:58:29.000000,2025-09-29 12:58:25,1025.0,259.0,31.0,593.0,75.0,177.0,3114.0,JAX-based neural network library.,90.0,31,True,8.0,2025-09-18 14:58:36.000,0.0.15,18.0,google-deepmind/dm-haiku,dm-haiku,conda-forge/dm-haiku,,,,2781.0,2578.0,https://pypi.org/project/dm-haiku,2025-09-18 14:58:36.000,203.0,263887.0,264672.0,https://anaconda.org/conda-forge/dm-haiku,2025-09-19 01:14:07.557,44000.0,,,,,3.0,,,,,,,-1.0,,,,,,,,,,,, +274,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2025-06-19 04:42:32.000000,2025-03-24 01:18:35,980.0,402.0,35.0,161.0,42.0,259.0,2467.0,A library of sklearn compatible categorical variable encoders.,71.0,31,True,,2025-03-15 16:16:43.000,2.8.1,36.0,,category_encoders,conda-forge/category_encoders,,,['sklearn'],4416.0,4107.0,https://pypi.org/project/category_encoders,2025-03-15 16:17:21.000,309.0,2061181.0,2068903.0,https://anaconda.org/conda-forge/category_encoders,2025-04-22 14:56:25.923,370694.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +275,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2025-07-28 14:41:32.079000,2025-07-27 20:13:19,897.0,364.0,78.0,170.0,220.0,152.0,2391.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,54.0,31,True,,2025-07-27 20:12:56.377,0.5.11,20.0,,mpld3,conda-forge/mpld3,,,,7754.0,7579.0,https://pypi.org/project/mpld3,2025-07-27 20:10:28.000,164.0,436697.0,441994.0,https://anaconda.org/conda-forge/mpld3,2025-07-28 14:41:32.079,281627.0,,,,,3.0,,mpld3,https://www.npmjs.com/package/mpld3,2025-07-27 20:12:56.377,11.0,897.0,-1.0,,,,,,,,,,,, +276,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2025-10-29 16:40:44.000000,2025-03-26 04:24:50,5969.0,714.0,84.0,6067.0,257.0,896.0,2166.0,TFX is an end-to-end platform for deploying production ML pipelines.,195.0,31,True,,2024-12-11 20:13:47.000,1.16.0,100.0,,tfx,,,,['tensorflow'],1837.0,1820.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,36973.0,36973.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +277,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2025-10-01 06:18:58.000000,2025-10-01 05:51:56,1077.0,245.0,45.0,226.0,38.0,293.0,1894.0,A full spaCy pipeline and models for scientific/biomedical documents.,38.0,31,True,11.0,2025-10-01 06:18:58.000,0.6.2,17.0,,scispacy,,,,,1374.0,1324.0,https://pypi.org/project/scispacy,2025-10-01 06:18:58.000,50.0,42263.0,42263.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +278,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2025-10-07 18:54:38.000000,2025-05-21 08:57:40,151.0,140.0,22.0,121.0,51.0,80.0,1534.0,Python 3.8+ toolbox for submitting jobs to Slurm.,26.0,31,True,,2025-05-21 09:06:40.000,1.5.3,25.0,,submitit,conda-forge/submitit,,,,4807.0,4733.0,https://pypi.org/project/submitit,2025-05-21 09:06:40.000,74.0,841152.0,842202.0,https://anaconda.org/conda-forge/submitit,2025-04-22 14:57:34.697,65135.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +279,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2025-10-27 18:21:34.000000,2025-10-21 07:36:49,1692.0,172.0,16.0,923.0,112.0,481.0,1461.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,113.0,31,True,20.0,2025-03-07 00:16:27.000,0.31.0,67.0,,pyjanitor,conda-forge/pyjanitor,,,,1024.0,982.0,https://pypi.org/project/pyjanitor,2025-03-07 00:16:23.000,42.0,275677.0,280260.0,https://anaconda.org/conda-forge/pyjanitor,2025-04-22 14:56:48.797,297903.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +280,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,,2011-04-06 02:51:33.000,2025-10-30 15:00:00.000000,2025-10-28 14:07:31,3498.0,249.0,48.0,460.0,78.0,294.0,1116.0,"OpenCL integration for Python, plus shiny features.",98.0,31,False,18.0,2025-10-28 14:22:33.000,2025.2.7,111.0,,pyopencl,conda-forge/pyopencl,,,,2578.0,2359.0,https://pypi.org/project/pyopencl,2025-10-28 14:22:33.000,219.0,133615.0,167208.0,https://anaconda.org/conda-forge/pyopencl,2025-10-28 17:31:36.369,2149979.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +281,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2025-10-06 17:44:37.000000,2024-12-21 19:30:30,501.0,125.0,27.0,135.0,28.0,77.0,974.0,Python bindings and utilities for GeoJSON.,58.0,31,True,,2024-12-21 19:35:29.000,3.2.0,32.0,,geojson,conda-forge/geojson,,,,21415.0,20692.0,https://pypi.org/project/geojson,2024-12-21 19:35:29.000,723.0,3594620.0,3629678.0,https://anaconda.org/conda-forge/geojson,2025-04-22 14:56:20.890,1121857.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +282,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2025-10-12 03:12:16.000000,2025-10-12 02:32:58,2005.0,252.0,19.0,309.0,65.0,289.0,956.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",54.0,31,True,35.0,2025-10-12 02:38:48.000,1.5.2,50.0,,salib,conda-forge/salib,,,,1818.0,1629.0,https://pypi.org/project/salib,2025-10-12 02:38:48.000,189.0,251565.0,256476.0,https://anaconda.org/conda-forge/salib,2025-10-12 03:01:28.233,294689.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +283,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2025-10-21 05:50:30.000000,2025-10-21 05:43:56,3944.0,338.0,64.0,696.0,2.0,578.0,872.0,The Classical Language Toolkit.,122.0,31,True,182.0,2025-10-21 05:50:30.000,2.0.1,226.0,,cltk,,,,,319.0,302.0,https://pypi.org/project/cltk,2025-10-21 05:50:30.000,17.0,14487.0,14488.0,,,,,,,,2.0,157.0,,,,,,-1.0,,,,,,,,,,,, +284,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2025-10-28 20:17:44.000000,2025-10-28 20:17:44,15145.0,445.0,50.0,2399.0,162.0,887.0,789.0,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization,..",171.0,31,False,35.0,2025-03-16 06:33:35.000,1.11.0,30.0,,dipy,conda-forge/dipy,,,,1723.0,1587.0,https://pypi.org/project/dipy,2025-03-16 06:33:35.000,136.0,63398.0,75986.0,https://anaconda.org/conda-forge/dipy,2025-08-28 14:21:51.665,767874.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +285,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2025-10-29 14:04:38.000000,2025-10-29 14:04:37,188767.0,100.0,47.0,2752.0,13.0,385.0,698.0,TensorFlow ROCm port.,4959.0,31,True,1655.0,2022-12-06 16:42:53.965,2.9.4,100.0,ROCm/tensorflow-upstream,tensorflow-rocm,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,1690.0,1690.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,, +286,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2025-10-13 22:12:34.000000,2025-10-03 14:40:39,3077.0,2937.0,224.0,521.0,272.0,488.0,13019.0,FinRL: Financial Reinforcement Learning.,129.0,30,True,4.0,2023-02-07 13:58:00.815,0.3.6,8.0,,finrl,,,,,106.0,106.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,2797.0,2797.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +287,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2025-10-30 12:05:19.000000,2025-10-30 12:01:32,1231.0,1367.0,148.0,192.0,277.0,1407.0,9583.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,169.0,30,False,7.0,2024-09-13 14:37:23.000,V0.7.8,19.0,,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],1359.0,1345.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,2815.0,8085.0,https://anaconda.org/pytorch3d/pytorch3d,2025-03-25 16:29:23.925,374218.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +288,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2025-04-22 14:57:32.711000,2024-02-20 22:38:05,385.0,2173.0,281.0,98.0,311.0,447.0,8841.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,False,,2023-01-02 17:10:24.749,3.0.3,13.0,,imageai,conda-forge/imageai,,,,1821.0,1802.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,4575.0,15807.0,https://anaconda.org/conda-forge/imageai,2025-04-22 14:57:32.711,10192.0,,,,,2.0,996393.0,,,,,,,,,,,,,,,,,, +289,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel/ipex-llm,https://github.com/intel/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2025-10-14 06:04:12.000000,2025-10-14 06:04:12,4112.0,1382.0,259.0,10284.0,1217.0,1803.0,8419.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM,..",120.0,30,True,5.0,2025-04-09 06:51:51.000,0.1.0-mas,869.0,intel/ipex-llm,bigdl,,,,,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,14649.0,14656.0,,,,,,,,2.0,708.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0 +290,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,1147.0,337.0,81.0,54.0,231.0,8195.0,StarCraft II Learning Environment.,39.0,30,False,,2022-07-13 12:08:43.000,4.0,8.0,google-deepmind/pysc2,pysc2,,,,,1003.0,977.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,28541.0,29009.0,,,,,,,,2.0,45878.0,,,,,,,,,,,,,,,,,, +291,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2025-10-28 06:36:34.000000,2025-10-28 05:16:58,1095.0,979.0,140.0,797.0,140.0,374.0,7785.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,103.0,30,True,14.0,2025-07-12 13:37:38.000,0.13,17.0,,dowhy,conda-forge/dowhy,,,,693.0,665.0,https://pypi.org/project/dowhy,2025-07-12 13:40:50.000,28.0,83226.0,84089.0,https://anaconda.org/conda-forge/dowhy,2025-07-13 12:15:04.418,50930.0,,,,,2.0,43.0,,,,,,,,,,,,,,,,,, +292,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2025-09-26 03:14:47.000000,2025-09-26 03:14:47,653.0,830.0,84.0,385.0,43.0,374.0,5621.0,Uplift modeling and causal inference with machine learning algorithms.,71.0,30,True,3.0,2025-07-09 00:23:50.000,0.15.5,28.0,,causalml,,,,,319.0,309.0,https://pypi.org/project/causalml,2025-07-09 00:23:50.000,10.0,78693.0,78693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +293,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-10-29 07:56:20.000000,2025-10-29 07:56:07,1723.0,850.0,137.0,1673.0,409.0,411.0,5173.0,Simple and Distributed Machine Learning.,126.0,30,True,28.0,2025-10-03 00:22:10.000,1.0.15,69.0,,synapseml,,,,,7.0,,https://pypi.org/project/synapseml,2025-10-03 00:22:10.000,7.0,1635703.0,1635703.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +294,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2025-09-17 20:28:20.219000,2023-02-26 20:07:33,189.0,528.0,73.0,40.0,15.0,121.0,4155.0,Missing data visualization module for Python.,18.0,30,False,,2023-02-26 20:11:59.371,0.5.2,26.0,,missingno,conda-forge/missingno,,,,23560.0,23438.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,203401.0,227385.0,https://anaconda.org/conda-forge/missingno,2025-09-17 20:28:20.219,455703.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +295,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2025-05-30 21:38:02.000000,2025-04-23 15:27:35,1145.0,364.0,54.0,1430.0,126.0,186.0,4125.0,A Python toolbox for performing gradient-free optimization.,58.0,30,True,,2025-04-23 15:34:16.000,1.0.12,53.0,,nevergrad,conda-forge/nevergrad,,,,1235.0,1163.0,https://pypi.org/project/nevergrad,2025-04-23 15:34:16.000,72.0,145638.0,146673.0,https://anaconda.org/conda-forge/nevergrad,2025-04-22 14:57:24.222,67296.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +296,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/stumpy-dev/stumpy,https://github.com/stumpy-dev/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2025-09-02 14:08:36.000000,2025-09-02 14:08:17,1390.0,335.0,56.0,255.0,74.0,468.0,4007.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,30,True,1.0,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy-dev/stumpy,stumpy,conda-forge/stumpy,,,,1610.0,1580.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,384296.0,402147.0,https://anaconda.org/conda-forge/stumpy,2025-04-22 14:57:05.227,1142472.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +297,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2025-10-30 14:25:13.000000,2025-10-01 19:42:21,1268.0,453.0,36.0,627.0,116.0,536.0,3801.0,Scalable and user friendly neural forecasting algorithms.,55.0,30,True,14.0,2025-10-01 19:46:25.000,3.1.2,36.0,,neuralforecast,conda-forge/neuralforecast,,,,30.0,,https://pypi.org/project/neuralforecast,2025-10-01 19:46:25.000,30.0,155482.0,156581.0,https://anaconda.org/conda-forge/neuralforecast,2025-10-06 15:11:19.781,47289.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +298,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2025-08-08 00:08:27.812000,2023-11-21 21:15:59,435.0,612.0,72.0,234.0,95.0,409.0,3725.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,False,,2023-09-29 21:07:11.000,0.7.2,47.0,,implicit,conda-forge/implicit,,,,1970.0,1941.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,405155.0,429448.0,https://anaconda.org/conda-forge/implicit,2025-08-08 00:08:27.812,1478975.0,,,,,2.0,2204.0,,,,,,,,,,,,,,,,,, +299,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2025-09-03 07:16:16.994000,2025-08-25 08:10:19,3668.0,475.0,96.0,1076.0,277.0,370.0,3675.0,Plotting library for IPython/Jupyter notebooks.,66.0,30,True,1.0,2025-09-03 07:16:16.994,0.5.46,114.0,,bqplot,conda-forge/bqplot,,,['jupyter'],191.0,62.0,https://pypi.org/project/bqplot,2025-05-21 17:32:27.000,108.0,226043.0,258190.0,https://anaconda.org/conda-forge/bqplot,2025-09-02 16:33:45.148,1892331.0,,,,,3.0,,bqplot,https://www.npmjs.com/package/bqplot,2025-09-03 07:16:16.994,21.0,3035.0,,,,,,,,,,,,, +300,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2025-09-08 16:30:34.000000,2024-05-16 18:13:03,456.0,534.0,111.0,99.0,24.0,101.0,3635.0,Module for automatic summarization of text documents and HTML pages.,32.0,30,False,,2022-10-23 16:42:18.783,0.11.0,16.0,,sumy,conda-forge/sumy,,,,4320.0,4289.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,85020.0,85289.0,https://anaconda.org/conda-forge/sumy,2025-04-22 14:57:55.728,14026.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +301,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2025-09-10 16:53:48.310000,2024-10-31 09:14:19,481.0,744.0,118.0,132.0,75.0,378.0,3269.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,30,True,,2024-10-31 09:03:22.000,0.3.3,14.0,,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],3759.0,3667.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,238363.0,245354.0,https://anaconda.org/conda-forge/hmmlearn,2025-09-10 16:53:48.310,426485.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +302,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2025-10-03 09:19:56.000000,2025-10-03 09:19:56,1769.0,352.0,32.0,386.0,41.0,202.0,2967.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,43.0,30,True,26.0,2025-07-24 09:37:35.000,2.7.10,53.0,,shapash,,,,['jupyter'],203.0,199.0,https://pypi.org/project/shapash,2025-07-24 09:37:35.000,4.0,7512.0,7512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +303,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2025-10-27 16:06:00.000000,2025-10-27 16:05:53,594.0,450.0,93.0,136.0,82.0,268.0,2717.0,bt - flexible backtesting for Python.,35.0,30,True,12.0,2025-04-12 14:41:05.000,1.1.2,30.0,,bt,conda-forge/bt,,,,1721.0,1706.0,https://pypi.org/project/bt,2025-04-12 14:40:43.000,15.0,11499.0,13475.0,https://anaconda.org/conda-forge/bt,2025-10-02 08:10:03.296,106712.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +304,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2025-08-01 14:14:21.000000,2025-08-01 14:14:21,1387.0,341.0,21.0,56.0,41.0,203.0,2452.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,23.0,30,True,,2025-06-03 18:37:59.000,0.5.1,93.0,,explainerdashboard,conda-forge/explainerdashboard,,,,664.0,649.0,https://pypi.org/project/explainerdashboard,2025-06-03 18:37:59.000,15.0,42333.0,43623.0,https://anaconda.org/conda-forge/explainerdashboard,2025-06-04 05:04:12.004,74838.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +305,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2025-10-30 00:35:07.000000,2023-06-01 12:18:23,739.0,324.0,42.0,44.0,105.0,56.0,2317.0,A modular active learning framework for Python.,21.0,30,False,,2025-10-22 20:07:54.000,1.2.1,2296.0,,modAL,,,,['sklearn'],169.0,,https://pypi.org/project/modAL,2025-10-30 00:35:07.000,169.0,4684005.0,4684005.0,,,,,,,,2.0,62.0,,,,,,,,,,,,,,,,,, +306,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2025-10-27 13:46:03.000000,2025-10-27 13:46:03,996.0,473.0,32.0,1044.0,129.0,394.0,2148.0,A Python package to assess and improve fairness of machine learning models.,105.0,30,True,21.0,2025-10-19 19:59:21.000,0.13.0,23.0,,fairlearn,conda-forge/fairlearn,,,['sklearn'],83.0,3.0,https://pypi.org/project/fairlearn,2025-10-19 19:47:51.000,80.0,155214.0,156138.0,https://anaconda.org/conda-forge/fairlearn,2025-04-22 14:57:20.746,54566.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +307,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2025-10-30 10:15:33.000000,2025-10-30 10:15:31,3100.0,198.0,14.0,1696.0,106.0,1424.0,1939.0,"dstack is an open-source control plane for running development, training, and inference jobs on GPUsacross..",63.0,30,True,196.0,2025-10-30 09:40:38.000,0.19.35,312.0,,dstack,,,,,22.0,22.0,https://pypi.org/project/dstack,2025-10-30 09:21:18.000,,4236.0,4236.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +308,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2025-04-22 14:57:44.362000,2024-12-30 10:52:51,164.0,212.0,32.0,75.0,31.0,53.0,1680.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,9.0,30,True,,2023-09-26 22:07:23.000,0.2.6,5.0,,torchsde,conda-forge/torchsde,,,['pytorch'],5516.0,5479.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,4596864.0,4597663.0,https://anaconda.org/conda-forge/torchsde,2025-04-22 14:57:44.362,45592.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +309,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2025-05-05 21:09:00.000000,2025-05-05 21:09:00,2040.0,294.0,41.0,300.0,65.0,218.0,1637.0,TensorLy: Tensor Learning in Python.,73.0,30,True,,2024-11-12 14:54:17.000,0.9.0,21.0,,tensorly,conda-forge/tensorly,,,,1220.0,1121.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,129603.0,136002.0,https://anaconda.org/conda-forge/tensorly,2025-04-22 14:56:50.737,383992.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +310,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2025-10-10 00:18:20.000000,2025-10-02 00:11:30,916.0,289.0,77.0,554.0,47.0,225.0,1616.0,Underthesea - Vietnamese NLP Toolkit.,22.0,30,False,51.0,2025-10-10 00:18:20.000,report,142.0,,underthesea,,,,,1697.0,1677.0,https://pypi.org/project/underthesea,2025-09-28 00:31:15.000,20.0,34427.0,34519.0,,,,,,,,2.0,9385.0,,,,,,,,,,,,,,,,,, +311,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2025-10-14 18:02:04.000000,2025-10-14 18:02:04,967.0,432.0,81.0,254.0,57.0,242.0,1542.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,76.0,30,True,9.0,2024-04-19 10:03:17.000,3.1.6,27.0,,emcee,conda-forge/emcee,,,,3595.0,3157.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,171725.0,181559.0,https://anaconda.org/conda-forge/emcee,2025-04-22 14:56:23.732,511391.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +312,skrub,skrub-data/skrub,tabular,,https://github.com/skrub-data/skrub,https://github.com/skrub-data/skrub,BSD-3-Clause,2018-03-12 23:32:22.000,2025-10-30 09:10:59.000000,2025-10-30 09:10:58,1982.0,166.0,18.0,1129.0,126.0,450.0,1487.0,Machine learning with dataframes.,82.0,30,True,75.0,2025-09-26 08:31:56.000,0.6.2,18.0,,skrub,,,,"['sklearn', 'pandas']",122.0,102.0,https://pypi.org/project/skrub,2025-09-25 15:06:53.000,20.0,45496.0,45496.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +313,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2025-09-08 13:19:49.000000,2025-09-08 13:19:44,4402.0,312.0,75.0,682.0,20.0,640.0,1432.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,30,True,3.0,2025-07-31 16:44:02.000,25.07,44.0,,pysal,conda-forge/pysal,,,,1894.0,1829.0,https://pypi.org/project/pysal,2025-07-31 16:44:06.000,65.0,41557.0,53112.0,https://anaconda.org/conda-forge/pysal,2025-08-01 20:43:58.011,728008.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +314,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2025-10-06 17:22:35.000000,2025-10-06 17:22:35,10876.0,264.0,37.0,1528.0,209.0,363.0,1419.0,Computations and statistics on manifolds with geometric structures.,97.0,30,True,14.0,2024-09-09 17:46:06.000,2.8.0,33.0,,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,163.0,151.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,14846.0,15050.0,https://anaconda.org/conda-forge/geomstats,2025-04-22 14:58:18.165,8181.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +315,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,,2013-11-01 19:40:08.000,2025-10-30 12:01:06.000000,2025-10-30 12:00:57,17447.0,115.0,20.0,3663.0,559.0,3425.0,615.0,"Keep code, data, containers under control with git and git-annex.",61.0,30,False,46.0,2025-10-30 12:01:06.000,1.2.3,126.0,,datalad,conda-forge/datalad,,,,653.0,540.0,https://pypi.org/project/datalad,2025-10-30 12:01:06.000,113.0,127647.0,142898.0,https://anaconda.org/conda-forge/datalad,2025-08-20 17:49:01.428,976112.0,,,,,2.0,,,,,,,2.0,,,,,,,,,,,, +316,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,4666.0,651.0,240.0,56.0,,19211.0,Python Backtesting library for trading strategies.,56.0,29,False,,,,157.0,,backtrader,,,,,3472.0,3398.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,157173.0,157173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +317,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,4267.0,1229.0,558.0,839.0,2543.0,17596.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",275.0,29,False,,2019-04-26 14:13:32.000,2.7,32.0,,cntk,,,,,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,295.0,423.0,,,,,,,,3.0,15023.0,,,,,,,,,,,,,,,,,, +318,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,4902.0,636.0,375.0,503.0,437.0,16528.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,116.0,29,False,,2018-02-26 17:07:07.000,0.1.5,6.0,,baselines,,,,,625.0,622.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,2068.0,2068.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +319,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2025-08-14 21:56:24.000000,2025-01-06 17:34:05,104.0,1976.0,205.0,80.0,129.0,41.0,11703.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,34.0,29,True,,2025-08-14 21:56:24.000,2.0.2,10.0,,english-words,,,,,17.0,2.0,https://pypi.org/project/english-words,2025-08-14 21:56:24.000,15.0,78030.0,78030.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +320,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2025-10-17 19:27:11.000000,2025-09-05 20:21:46,1788.0,860.0,84.0,836.0,106.0,294.0,11053.0,Cleanlabs open-source library is the standard data-centric AI package for data quality and machine learning with..,55.0,29,False,9.0,2025-02-27 15:49:54.000,2.7.1,33.0,,cleanlab,conda-forge/cleanlab,,,,530.0,506.0,https://pypi.org/project/cleanlab,2025-02-27 15:49:54.000,24.0,38865.0,39825.0,https://anaconda.org/conda-forge/cleanlab,2025-04-22 14:57:24.018,51861.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +321,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2025-04-22 14:57:27.662000,2020-04-16 08:02:22,154.0,1834.0,208.0,51.0,101.0,94.0,9112.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,,2018-10-29 08:18:45.000,0.7.4,16.0,,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,229425.0,230383.0,https://anaconda.org/conda-forge/pretrainedmodels,2025-04-22 14:57:27.662,61330.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +322,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2025-04-22 14:57:28.932000,2023-01-31 19:40:04,3203.0,1389.0,185.0,786.0,45.0,423.0,6377.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,,2021-07-24 08:53:21.000,4.0.0,8.0,,cleverhans,conda-forge/cleverhans,,,['tensorflow'],824.0,817.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,3868.0,4055.0,https://anaconda.org/conda-forge/cleverhans,2025-04-22 14:57:28.932,11968.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +323,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2025-10-26 13:05:51.000000,2025-09-07 14:47:47,991.0,576.0,48.0,1099.0,28.0,408.0,5570.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",68.0,29,True,5.0,2025-07-09 11:40:13.000,1.0.0,20.0,,python-doctr,,,,"['tensorflow', 'pytorch']",18.0,,https://pypi.org/project/python-doctr,2025-07-09 11:40:13.000,18.0,2033990.0,2149893.0,,,,,,,,2.0,6490595.0,,,,,,,,,,,,,,,,,, +324,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2025-08-14 14:06:15.000000,2025-08-14 14:06:15,1485.0,788.0,74.0,1836.0,336.0,638.0,5045.0,Probabilistic time series modeling in Python.,117.0,29,True,2.0,2025-06-27 12:02:32.000,0.16.2,114.0,,gluonts,anaconda/gluonts,,,['mxnet'],41.0,,https://pypi.org/project/gluonts,2025-06-27 12:02:32.000,41.0,1942836.0,1942902.0,https://anaconda.org/anaconda/gluonts,2025-04-22 15:32:35.609,3197.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +325,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2025-09-13 16:20:05.000000,2025-07-30 14:06:19,842.0,426.0,67.0,317.0,64.0,543.0,5005.0,Visualizer for pandas data structures.,31.0,29,True,,2025-07-30 16:08:32.000,3.18.2,194.0,,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1561.0,1508.0,https://pypi.org/project/dtale,2025-07-30 16:01:15.000,53.0,31019.0,38417.0,https://anaconda.org/conda-forge/dtale,2025-07-30 16:53:30.142,480904.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +326,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2025-01-22 06:02:52.000000,2025-01-22 06:02:52,927.0,627.0,141.0,801.0,157.0,357.0,4854.0,Deep Learning Visualization Toolkit.,36.0,29,True,,2024-10-30 02:46:42.000,3.0.0-beta,44.0,,visualdl,,,,['paddle'],3646.0,3564.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,172078.0,172086.0,,,,,,,,2.0,538.0,,,,,,,,,,,,,,,,,, +327,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2025-10-27 21:27:30.000000,2025-08-05 14:32:11,3629.0,457.0,30.0,3447.0,15.0,2207.0,4737.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,114.0,29,True,1.0,2025-03-11 08:58:41.000,2.8.0,100.0,argilla-io/argilla,rubrix,conda-forge/rubrix,,,,3078.0,3078.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1205.0,2330.0,https://anaconda.org/conda-forge/rubrix,2025-04-22 14:58:07.112,51761.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +328,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2025-04-22 14:57:56.135000,2022-07-07 05:16:43,738.0,463.0,37.0,128.0,76.0,154.0,4625.0,Data augmentation for NLP.,33.0,29,False,,2022-07-07 05:24:14.000,1.1.11,37.0,,nlpaug,conda-forge/nlpaug,,,,1900.0,1835.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,193709.0,194512.0,https://anaconda.org/conda-forge/nlpaug,2025-04-22 14:57:56.135,41794.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +329,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2025-10-22 17:27:01.000000,2025-10-17 20:44:40,1381.0,554.0,64.0,858.0,2.0,600.0,4464.0,On-device wake word detection powered by deep learning.,43.0,29,True,18.0,2025-02-05 18:37:30.000,3.0.5,37.0,,pvporcupine,,,,,89.0,51.0,https://pypi.org/project/pvporcupine,2025-02-05 18:37:30.000,38.0,24690.0,24690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +330,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2025-07-29 00:18:20.000000,2025-07-29 00:18:20,3333.0,556.0,117.0,389.0,77.0,743.0,4391.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,29,True,,2024-08-15 14:31:34.000,3.0.3,179.0,,dedupe,conda-forge/dedupe,,,,385.0,366.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,59142.0,61931.0,https://anaconda.org/conda-forge/dedupe,2025-04-22 14:58:06.931,128330.0,,,,,2.0,,,,,,,2.0,,,,,,,,,,,, +331,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2025-10-22 08:04:57.000000,2025-10-22 08:04:57,1354.0,386.0,67.0,379.0,104.0,461.0,4340.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",107.0,29,True,2.0,2024-11-26 07:16:52.000,0.8.7,31.0,,sacred,conda-forge/sacred,,,,3678.0,3618.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,47669.0,47879.0,https://anaconda.org/conda-forge/sacred,2025-04-22 14:58:05.313,9909.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +332,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2025-04-22 14:57:03.401000,2025-04-13 00:57:05,250.0,283.0,42.0,51.0,28.0,99.0,4278.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,,2023-08-22 19:40:33.000,1.1.1,15.0,,gpustat,conda-forge/gpustat,,,,8017.0,7867.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,1072130.0,1077467.0,https://anaconda.org/conda-forge/gpustat,2025-04-22 14:57:03.401,314927.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +333,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2025-10-10 13:56:36.234000,2025-10-09 15:51:19,3066.0,1005.0,116.0,570.0,65.0,311.0,2629.0,IPython Parallel: Interactive Parallel Computing in Python.,115.0,29,False,25.0,2025-10-09 20:45:28.000,9.0.2,50.0,,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],135.0,,https://pypi.org/project/ipyparallel,2025-10-09 20:45:28.000,135.0,258131.0,283021.0,https://anaconda.org/conda-forge/ipyparallel,2025-10-10 13:56:36.234,1493413.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +334,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2025-10-27 10:35:55.000000,2025-10-27 10:35:54,755.0,237.0,36.0,577.0,140.0,236.0,2444.0,"Algorithms for outlier, adversarial and drift detection.",28.0,29,False,10.0,2024-04-17 16:12:46.000,0.12.0,38.0,,alibi-detect,,,,,625.0,618.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,227160.0,227160.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +335,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2025-10-30 05:14:27.000000,2025-10-30 05:14:27,2125.0,217.0,45.0,427.0,215.0,201.0,2353.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",48.0,29,True,93.0,2025-10-22 00:04:52.000,0.45.7,237.0,,graphistry,,,,['jupyter'],9.0,,https://pypi.org/project/graphistry,2025-10-21 23:46:13.000,9.0,8483.0,8483.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +336,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2025-05-06 07:32:11.000000,2025-05-06 07:32:11,679.0,403.0,38.0,68.0,36.0,273.0,2048.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,,2023-04-07 06:00:55.135,1.3.6,19.0,,ogb,conda-forge/ogb,,,,2717.0,2644.0,https://pypi.org/project/ogb,2023-04-07 06:00:55.135,73.0,103690.0,104724.0,https://anaconda.org/conda-forge/ogb,2025-04-22 14:57:35.121,63132.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +337,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2025-10-26 11:00:37.000000,2025-10-26 10:51:58,1973.0,401.0,45.0,183.0,33.0,439.0,1904.0,Reinforcement Learning environments based on the 1993 game Doom.,57.0,29,True,27.0,2024-08-20 10:48:59.000,1.2.4,33.0,Farama-Foundation/ViZDoom,vizdoom,,,,,360.0,340.0,https://pypi.org/project/vizdoom,2025-10-22 11:26:31.000,20.0,6919.0,7025.0,,,,,,,,1.0,12242.0,,,,,,,,,,,,,,,,,, +338,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2025-05-29 13:55:06.000000,2025-05-29 10:44:11,2454.0,430.0,70.0,1276.0,162.0,683.0,1888.0,Gaussian processes in TensorFlow.,84.0,29,True,,2025-05-29 13:02:38.000,2.10.0,51.0,,gpflow,conda-forge/gpflow,,,['tensorflow'],829.0,786.0,https://pypi.org/project/gpflow,2025-05-29 13:55:06.000,43.0,31687.0,32848.0,https://anaconda.org/conda-forge/gpflow,2025-04-22 14:56:50.649,51125.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +339,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2025-09-15 19:17:24.000000,2025-09-15 19:17:24,697.0,285.0,36.0,505.0,181.0,151.0,1865.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,52.0,29,True,6.0,2022-12-16 20:54:02.878,0.12.1,87.0,,petastorm,,,,,406.0,391.0,https://pypi.org/project/petastorm,2025-08-11 20:52:51.000,15.0,269512.0,269518.0,,,,,,,,2.0,581.0,,,,,,,,,,,,,,,,,, +340,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2025-04-22 14:56:51.622000,2024-04-29 20:57:51,290.0,359.0,44.0,80.0,78.0,114.0,1842.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,False,,2023-04-23 23:55:02.142,3.4.1,26.0,,pyldavis,conda-forge/pyldavis,,,['jupyter'],7556.0,7453.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,118395.0,120234.0,https://anaconda.org/conda-forge/pyldavis,2025-04-22 14:56:51.622,101158.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +341,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2025-08-30 07:15:11.000000,2025-08-30 07:15:11,1265.0,158.0,29.0,134.0,42.0,281.0,1840.0,Statistical package in Python based on Pandas.,50.0,29,False,1.0,2024-09-04 10:48:32.000,0.5.5,41.0,,pingouin,conda-forge/pingouin,,,,3595.0,3375.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,220.0,203565.0,206579.0,https://anaconda.org/conda-forge/pingouin,2025-04-22 14:56:58.479,192954.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +342,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2025-10-27 15:35:57.429000,2025-10-27 14:43:11,732.0,174.0,19.0,136.0,4.0,142.0,1571.0,"Extensible, parallel implementations of t-SNE.",14.0,29,True,24.0,2025-10-27 13:54:56.000,1.0.4,30.0,,opentsne,conda-forge/opentsne,,,,1171.0,1102.0,https://pypi.org/project/opentsne,2025-10-27 13:54:56.000,69.0,58229.0,66218.0,https://anaconda.org/conda-forge/opentsne,2025-10-27 15:35:57.429,495367.0,,,,,3.0,,,,,,,3.0,,,,,,,,,,,, +343,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2025-10-26 07:52:03.000000,2025-07-07 20:41:13,838.0,325.0,113.0,826.0,229.0,170.0,1557.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",87.0,29,True,,2024-02-08 02:06:46.000,0.8.0,31.0,,tensorflow-model-optimization,,,,['tensorflow'],45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,923086.0,923086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +344,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,Apache-2.0,2022-04-04 18:33:06.000,2025-10-29 22:11:27.000000,2025-10-29 22:10:58,2865.0,126.0,20.0,1526.0,102.0,270.0,1315.0,"MetricFlow allows you to define, build, and maintain metrics in code.",52.0,29,True,84.0,2025-10-14 16:07:39.000,0.209.0,95.0,dbt-labs/metricflow,metricflow,,,,,41.0,37.0,https://pypi.org/project/metricflow,2025-10-14 16:07:39.000,4.0,94021.0,94021.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +345,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2025-10-27 12:33:19.686000,2025-10-24 19:23:52,867.0,137.0,27.0,477.0,97.0,358.0,1208.0,BAyesian Model-Building Interface (Bambi) in Python.,47.0,29,True,17.0,2025-10-24 19:24:55.000,0.16.0,31.0,,bambi,conda-forge/bambi,,,,243.0,224.0,https://pypi.org/project/bambi,2025-10-24 19:24:55.000,19.0,47909.0,48882.0,https://anaconda.org/conda-forge/bambi,2025-10-27 12:33:19.686,56475.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +346,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2025-09-04 19:10:02.000000,2025-04-10 21:34:27,1700.0,293.0,37.0,1490.0,293.0,372.0,733.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",115.0,29,True,,2024-07-01 23:45:56.000,0.37.1,45.0,,tensorflow-io,,,,['tensorflow'],61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,733027.0,733027.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +347,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2025-10-27 15:41:05.000000,2025-06-09 15:45:07,2112.0,66.0,19.0,1669.0,33.0,232.0,620.0,The experiment tracker for foundation model training.,57.0,29,True,,2025-04-15 07:28:48.000,1.14.0,213.0,,neptune-client,conda-forge/neptune-client,,,,997.0,920.0,https://pypi.org/project/neptune-client,2025-04-15 07:28:48.000,77.0,483823.0,489754.0,https://anaconda.org/conda-forge/neptune-client,2025-04-22 14:57:20.407,385537.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +348,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2025-10-10 08:18:04.000000,2025-10-10 08:18:04,2323.0,2979.0,197.0,3828.0,1001.0,4661.0,13863.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",187.0,28,True,1.0,2025-02-14 04:57:35.000,2.8.1,11.0,,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,2228.0,2228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +349,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,1529.0,129.0,52.0,163.0,141.0,8175.0,A PyTorch implementation of EfficientNet.,24.0,28,False,,2021-04-15 15:17:23.000,0.7.1,13.0,,efficientnet-pytorch,,,,['pytorch'],73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,253231.0,334322.0,,,,,,,,2.0,5433128.0,,,,,,,,,,,,,,,,,, +350,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,1356.0,168.0,47.0,80.0,242.0,7403.0,2D and 3D Face alignment library build using pytorch.,26.0,28,False,,2023-08-17 14:43:11.000,1.4.1,14.0,,face-alignment,,,,['pytorch'],31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,149478.0,149478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +351,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,886.0,263.0,98.0,82.0,81.0,7377.0,Visualizations for machine learning datasets.,31.0,28,False,,2023-05-24 15:58:01.158,1.1.1,9.0,,facets-overview,,,,['jupyter'],326.0,318.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,101158.0,101158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +352,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2025-08-04 16:44:35.000000,2025-08-04 16:44:35,782.0,1221.0,204.0,93.0,206.0,123.0,6156.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,True,2.0,2022-02-07 22:36:53.000,0.3.14,23.0,,pyAudioAnalysis,,,,,683.0,671.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,24330.0,24330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +353,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,1359.0,192.0,158.0,49.0,227.0,5557.0,Deep Reinforcement Learning for Keras.,41.0,28,False,,2018-06-01 07:52:24.000,0.4.2,8.0,,keras-rl,,,,['tensorflow'],836.0,830.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1439.0,1439.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +354,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2025-04-22 14:56:45.003000,2023-04-30 18:36:20,483.0,702.0,82.0,211.0,157.0,358.0,5023.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,,2023-03-20 04:08:46.000,1.17,15.0,,lightfm,conda-forge/lightfm,,,,1941.0,1909.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,80395.0,83887.0,https://anaconda.org/conda-forge/lightfm,2025-04-22 14:56:45.003,324796.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +355,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2025-04-22 14:57:49.044000,2022-04-01 13:57:36,131.0,1028.0,144.0,33.0,52.0,77.0,4860.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,,2020-05-22 15:07:00.000,3.3.2,15.0,,vadersentiment,conda-forge/vadersentiment,,,,13132.0,13035.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,528652.0,528999.0,https://anaconda.org/conda-forge/vadersentiment,2025-04-22 14:57:49.044,19112.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +356,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2025-09-05 19:23:19.000000,2025-07-28 15:44:18,6249.0,544.0,140.0,1990.0,338.0,1418.0,4812.0,ArrayFire: a general purpose GPU library.,97.0,28,True,,2025-09-05 19:23:19.000,3.10.0,35.0,,arrayfire,,,,,13.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,13.0,4516.0,4593.0,,,,,,,,2.0,9563.0,,,,,,,,,,,,,,,,,, +357,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,949.0,210.0,408.0,139.0,402.0,3863.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,,2015-08-13 21:00:09.000,0.1,2.0,,lasagne,,,,,1113.0,1101.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,7071.0,7071.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +358,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2025-04-22 14:56:50.409000,2025-04-18 12:13:17,417.0,257.0,61.0,57.0,9.0,,3499.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",18.0,28,True,,2024-07-16 09:36:19.000,4.6.3,29.0,,textdistance,conda-forge/textdistance,,,,8893.0,8794.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,1275141.0,1291538.0,https://anaconda.org/conda-forge/textdistance,2025-04-22 14:56:50.409,966811.0,,,,,2.0,1072.0,,,,,,,,,,,,,,,,,, +359,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2025-06-27 02:59:05.000000,2022-04-29 04:19:24,1698.0,394.0,42.0,1087.0,1.0,355.0,3363.0,Accelerated deep learning R&D.,104.0,28,False,,2022-04-29 04:45:11.000,22.04,108.0,,catalyst,,,,['pytorch'],1318.0,1288.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,25424.0,25424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +360,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2025-07-10 20:22:47.000000,2025-07-10 20:22:47,2772.0,418.0,34.0,526.0,68.0,222.0,3293.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",67.0,28,True,,2024-03-11 02:20:29.000,0.3.10,47.0,,textattack,conda-forge/textattack,,,,437.0,426.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,9060.0,9245.0,https://anaconda.org/conda-forge/textattack,2025-04-22 14:57:36.874,11335.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +361,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2025-10-17 20:05:55.000000,2025-10-17 19:50:48,346.0,360.0,27.0,361.0,100.0,56.0,3250.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,19.0,28,True,12.0,2025-04-05 19:49:38.000,0.2.16,17.0,,lazypredict,conda-forge/lazypredict,,,['sklearn'],1418.0,1410.0,https://pypi.org/project/lazypredict,2025-04-05 19:49:38.000,8.0,31099.0,31230.0,https://anaconda.org/conda-forge/lazypredict,2025-04-22 14:57:59.313,6593.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +362,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2025-07-08 08:21:42.323000,2025-07-07 16:50:25,1239.0,424.0,50.0,97.0,143.0,532.0,3212.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",30.0,28,True,,2025-07-07 17:06:28.000,1.1.18,101.0,,mljar-supervised,conda-forge/mljar-supervised,,,,180.0,174.0,https://pypi.org/project/mljar-supervised,2025-07-07 17:04:59.000,6.0,8698.0,9704.0,https://anaconda.org/conda-forge/mljar-supervised,2025-07-08 08:21:42.323,52328.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +363,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2025-04-22 14:57:08.534000,2024-03-14 19:50:06,769.0,847.0,179.0,75.0,21.0,565.0,3140.0,Python sync/async framework for Interactive Brokers API.,36.0,28,False,,2023-07-02 12:44:10.283,0.9.86,111.0,,ib_insync,conda-forge/ib-insync,,,,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,128525.0,129414.0,https://anaconda.org/conda-forge/ib-insync,2025-04-22 14:57:08.534,66726.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +364,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2025-04-22 14:57:39.864000,2025-03-06 23:21:12,622.0,341.0,44.0,121.0,74.0,137.0,3104.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,,2023-07-13 17:23:01.507,2.2.2,41.0,,dtreeviz,conda-forge/dtreeviz,,,,1670.0,1617.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,105697.0,107706.0,https://anaconda.org/conda-forge/dtreeviz,2025-04-22 14:57:39.864,118584.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +365,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,676.0,106.0,74.0,102.0,124.0,3086.0,Productivity Tools for Plotly + Pandas.,39.0,28,False,,2020-03-01 17:42:01.000,0.17.3,28.0,,cufflinks,,,,['pandas'],14959.0,14850.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,51715.0,51715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +366,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2025-04-22 14:57:29.383000,2024-03-04 15:46:26,1711.0,426.0,41.0,367.0,27.0,350.0,2920.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,28,False,,2024-03-04 20:59:17.000,3.3.4,71.0,,foolbox,conda-forge/foolbox,,,,768.0,754.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,8585.0,8896.0,https://anaconda.org/conda-forge/foolbox,2025-04-22 14:57:29.383,19618.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +367,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,336.0,39.0,57.0,73.0,210.0,2387.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,False,,2024-01-21 16:17:36.000,1.3.1,35.0,,spektral,,,,['tensorflow'],430.0,423.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,16120.0,16120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +368,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2025-04-22 14:56:36.813000,2023-04-03 00:19:55,1816.0,248.0,84.0,124.0,35.0,230.0,2232.0,"NLP, before and after spaCy.",35.0,28,False,,2023-04-02 23:06:15.139,0.13.0,32.0,,textacy,conda-forge/textacy,,,,2106.0,2040.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,92789.0,94983.0,https://anaconda.org/conda-forge/textacy,2025-04-22 14:56:36.813,221682.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +369,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2025-10-05 09:52:12.000000,2024-05-21 15:42:46,481.0,333.0,62.0,164.0,20.0,92.0,2202.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,28,False,,2024-02-21 23:17:37.000,3.3.0,22.0,,pytextrank,,,,,898.0,879.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,73263.0,73263.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +370,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2025-10-29 16:15:06.000000,2025-10-29 16:15:02,7055.0,337.0,44.0,3441.0,127.0,1731.0,2070.0,cuGraph - RAPIDS Graph Analytics Library.,124.0,28,True,86.0,2025-10-13 16:28:42.000,25.10.01,48.0,,cugraph,conda-forge/libcugraph,,,,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,547.0,1817.0,https://anaconda.org/conda-forge/libcugraph,2025-04-22 14:57:50.593,68611.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +371,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2025-07-18 17:12:06.000000,2025-07-18 17:12:05,2936.0,208.0,25.0,772.0,119.0,473.0,1905.0,A Python library for learning and evaluating knowledge graph embeddings.,43.0,28,True,,2025-04-24 10:52:18.000,1.11.1,50.0,,pykeen,,,,,378.0,350.0,https://pypi.org/project/pykeen,2025-04-24 10:43:35.000,28.0,30886.0,30889.0,,,,,,,,2.0,242.0,,,,,,,,,,,,,,,,,, +372,TNT,pytorch/tnt,ml-experiments,,https://github.com/meta-pytorch/tnt,https://github.com/meta-pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2025-10-09 01:54:03.000000,2025-10-09 01:51:08,1111.0,293.0,41.0,963.0,85.0,66.0,1716.0,A lightweight library for PyTorch training tools and utilities.,153.0,28,True,16.0,2018-07-29 23:16:03.000,0.0.4,3.0,meta-pytorch/tnt,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,9424.0,9424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +373,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2025-10-30 14:55:04.000000,2025-10-20 15:04:52,2617.0,437.0,53.0,720.0,201.0,282.0,1675.0,Machine learning on FPGAs using HLS.,82.0,28,True,34.0,2025-03-17 16:51:08.000,1.1.0,18.0,,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",52.0,51.0,https://pypi.org/project/hls4ml,2025-03-17 16:51:58.000,1.0,1689.0,1882.0,https://anaconda.org/conda-forge/hls4ml,2025-04-22 14:57:36.962,11785.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +374,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2025-10-14 07:53:48.000000,2025-10-14 07:53:47,634.0,432.0,31.0,56.0,18.0,138.0,1552.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,32.0,28,False,11.0,2025-02-26 10:09:27.000,2.3.5,29.0,,minisom,,,,,946.0,906.0,https://pypi.org/project/minisom,2025-02-26 10:09:27.000,40.0,34953.0,34953.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +375,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2025-10-18 10:39:07.000000,2025-10-14 19:35:42,3106.0,125.0,31.0,410.0,15.0,195.0,1488.0,Multi-class confusion matrix library in Python.,18.0,28,True,9.0,2025-10-15 16:14:49.000,4.5,49.0,,pycm,,,,,443.0,415.0,https://pypi.org/project/pycm,2025-10-15 16:16:45.000,28.0,185512.0,185512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +376,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2025-08-04 18:28:52.000000,2025-08-04 18:24:20,455.0,188.0,24.0,47.0,,136.0,1405.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,4.0,2025-08-04 18:28:52.000,0.16.1,64.0,,prince,conda-forge/prince-factor-analysis,,,['sklearn'],793.0,770.0,https://pypi.org/project/prince,2025-08-04 18:28:52.000,23.0,226328.0,226719.0,https://anaconda.org/conda-forge/prince-factor-analysis,2025-04-22 14:57:16.914,27782.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +377,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2025-05-26 16:11:09.000000,2025-05-26 15:44:59,1485.0,170.0,28.0,255.0,,,1399.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",23.0,28,True,,2025-05-26 16:10:34.000,release-v1.3.9,80.0,,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2471.0,2362.0,https://pypi.org/project/spacy-transformers,2025-05-26 16:11:09.000,109.0,266358.0,269380.0,https://anaconda.org/conda-forge/spacy-transformers,2025-04-22 14:58:05.596,141682.0,,,,,2.0,613.0,,,,,,,,,,,,,,,,,, +378,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2025-10-21 09:06:10.000000,2025-10-21 09:05:09,576.0,120.0,19.0,427.0,32.0,304.0,1366.0,Extra blocks for scikit-learn pipelines.,69.0,28,True,10.0,2025-09-15 08:40:34.000,0.9.6,57.0,,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],200.0,187.0,https://pypi.org/project/scikit-lego,2025-09-15 08:40:34.000,13.0,53112.0,54274.0,https://anaconda.org/conda-forge/scikit-lego,2025-04-22 14:57:15.493,75530.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +379,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,337.0,38.0,303.0,33.0,200.0,1365.0,A research toolkit for particle swarm optimization in Python.,45.0,28,False,,2021-01-03 21:34:15.000,1.3.0,20.0,,pyswarms,,,,,604.0,582.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,72542.0,72542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +380,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2025-04-22 14:56:41.347000,2024-11-22 14:04:30,811.0,149.0,38.0,215.0,120.0,152.0,1286.0,Real-time stream processing for python.,49.0,28,True,,2022-07-27 18:09:03.803,0.6.4,17.0,,streamz,conda-forge/streamz,,,,628.0,571.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,25595.0,71416.0,https://anaconda.org/conda-forge/streamz,2025-04-22 14:56:41.347,2886775.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +381,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2025-04-22 14:57:23.933000,2024-01-17 21:03:09,532.0,416.0,49.0,41.0,17.0,139.0,1279.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,False,,2022-09-06 19:52:23.000,0.12.2,17.0,,kmodes,conda-forge/kmodes,,,,3218.0,3180.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,384622.0,385634.0,https://anaconda.org/conda-forge/kmodes,2025-04-22 14:57:23.933,66842.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +382,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2025-04-22 14:57:18.607000,2024-02-08 16:58:25,2080.0,257.0,37.0,39.0,76.0,591.0,1198.0,"pyclustering is a Python, C++ data mining library.",26.0,28,False,,2020-11-25 22:33:07.000,0.10.1.2,46.0,,pyclustering,conda-forge/pyclustering,,,,913.0,881.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,18849.0,21269.0,https://anaconda.org/conda-forge/pyclustering,2025-04-22 14:57:18.607,152124.0,,,,,2.0,697.0,,,,,,,,,,,,,,,,,, +383,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2025-04-22 14:56:51.745000,2022-02-17 22:38:15,288.0,443.0,39.0,176.0,93.0,102.0,1026.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,,2020-05-14 03:55:22.223,1.1.2,12.0,,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3498846.0,3542822.0,https://anaconda.org/conda-forge/keras-preprocessing,2025-04-22 14:56:51.745,2506653.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +384,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2025-10-25 21:45:08.000000,2025-10-04 22:15:29,1396.0,157.0,22.0,503.0,30.0,140.0,997.0,A Comparative Framework for Multimodal Recommender Systems.,24.0,28,True,4.0,2025-10-04 22:15:55.000,2.3.5,65.0,,cornac,conda-forge/cornac,,,,318.0,300.0,https://pypi.org/project/cornac,2025-10-04 22:28:03.000,18.0,43727.0,58066.0,https://anaconda.org/conda-forge/cornac,2025-10-05 21:44:03.751,917701.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +385,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2025-10-17 13:48:01.000000,2025-10-17 13:48:01,686.0,106.0,12.0,101.0,77.0,68.0,949.0,A Python nearest neighbor descent for approximate nearest neighbors.,31.0,28,True,4.0,2024-06-17 15:48:31.000,0.5.13,32.0,,pynndescent,conda-forge/pynndescent,,,,13052.0,12896.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,2450303.0,2489361.0,https://anaconda.org/conda-forge/pynndescent,2025-04-22 14:57:06.248,2460708.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +386,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2025-09-27 16:56:05.000000,2025-09-27 16:53:55,825.0,260.0,36.0,520.0,283.0,264.0,941.0,Scalable Machine Learning with Dask.,82.0,28,True,1.0,2025-02-08 03:16:42.000,2025.1.0,38.0,,dask-ml,conda-forge/dask-ml,,,,1410.0,1310.0,https://pypi.org/project/dask-ml,2025-02-08 03:16:42.000,100.0,120467.0,137049.0,https://anaconda.org/conda-forge/dask-ml,2025-04-22 14:56:42.913,1077870.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +387,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2025-10-29 18:42:28.000000,2025-10-29 18:42:28,688.0,173.0,25.0,282.0,3.0,108.0,704.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,38.0,28,True,19.0,2025-07-23 06:26:24.000,0.9,15.0,,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],512.0,481.0,https://pypi.org/project/pyriemann,2025-07-23 06:26:49.000,31.0,74542.0,74940.0,https://anaconda.org/conda-forge/pyriemann,2025-07-23 10:05:56.477,15947.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +388,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2025-10-29 17:09:40.000000,2025-10-29 17:09:38,892.0,79.0,24.0,449.0,113.0,249.0,623.0,"Simple, concise geographical visualization in Python.",34.0,28,True,14.0,2025-08-14 14:46:30.000,1.14.1,74.0,,geoviews,conda-forge/geoviews,,,,81.0,5.0,https://pypi.org/project/geoviews,2025-08-14 14:45:55.000,76.0,68989.0,74590.0,https://anaconda.org/conda-forge/geoviews,2025-08-14 15:31:11.541,341692.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +389,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2025-09-10 14:03:51.000000,2025-07-31 17:50:07,1299.0,160.0,16.0,719.0,42.0,208.0,531.0,A package built to support working with spatial data using open source python.,44.0,28,True,,2025-09-10 14:03:51.000,0.10.1,23.0,,earthpy,conda-forge/earthpy,,,,459.0,442.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,14041.0,15299.0,https://anaconda.org/conda-forge/earthpy,2025-04-22 14:57:03.644,98189.0,,,,,3.0,75.0,,,,,,,,,,,,,,,,,, +390,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2025-10-29 21:03:38.000000,2025-10-29 21:03:31,6598.0,72.0,4.0,612.0,96.0,191.0,300.0,Python recommendation toolkit.,41.0,28,True,600.0,2025-10-22 23:24:03.000,2025.4.0,58.0,,lenskit,conda-forge/lenskit,,,,148.0,135.0,https://pypi.org/project/lenskit,2025-10-22 23:24:03.000,13.0,6636.0,7511.0,https://anaconda.org/conda-forge/lenskit,2025-10-23 13:56:18.534,51644.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +391,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2025-06-09 00:13:32.000000,2025-06-09 00:13:32,644.0,42.0,8.0,83.0,15.0,28.0,228.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,13.0,28,False,,2025-04-03 15:08:36.000,1.3.0,56.0,,blis,conda-forge/cython-blis,,,,65398.0,65278.0,https://pypi.org/project/blis,2025-04-03 15:08:36.000,120.0,16187255.0,16232859.0,https://anaconda.org/conda-forge/cython-blis,2025-04-22 14:57:03.201,2778988.0,,,,,2.0,3515.0,,,,,,,,,,,,,,,,,, +392,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/bee-san/Ciphey,https://github.com/bee-san/Ciphey,MIT,2019-07-16 20:20:39.000,2025-07-24 12:05:54.515765,2023-10-12 07:20:40,1894.0,1291.0,231.0,463.0,3.0,330.0,20129.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,False,,2021-06-06 17:15:00.281,5.14.0,50.0,bee-san/Ciphey,ciphey,,remnux/ciphey,,,1.0,1.0,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,25545.0,25976.0,,,,https://hub.docker.com/r/remnux/ciphey,2025-07-24 12:05:54.515765,19.0,32372.0,3.0,,,,,,,,,,,,,,,,,,, +393,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-11-04 14:34:30.000000,2024-11-04 14:34:28,348.0,1392.0,414.0,51.0,109.0,89.0,10812.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,,2024-10-31 13:26:46.000,4.1.2,50.0,,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-10-31 13:26:46.000,10.0,68296.0,68296.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +394,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2025-09-14 15:13:47.004000,,,953.0,,,623.0,,10503.0,NumPy & SciPy for GPU.,345.0,27,True,,2025-08-18 08:33:04.000,13.6.0,147.0,,cupy,conda-forge/cupy,cupy/cupy,,,400.0,,https://pypi.org/project/cupy,2025-08-18 08:33:04.000,400.0,38769.0,151148.0,https://anaconda.org/conda-forge/cupy,2025-09-14 15:13:47.004,7248827.0,https://hub.docker.com/r/cupy/cupy,2025-08-18 09:30:10.951443,14.0,91918.0,3.0,,,,,,,,,,,,,,,,,,, +395,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2025-09-26 14:37:32.000000,2025-09-26 14:37:26,1633.0,826.0,136.0,1581.0,125.0,125.0,8293.0,Trax Deep Learning with Clear Code and Speed.,82.0,27,True,2.0,2021-10-26 20:29:38.000,1.4.1,24.0,,trax,,,,,228.0,227.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4262.0,4262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +396,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,1610.0,450.0,699.0,36.0,441.0,7373.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,,2022-02-15 02:05:47.000,2.2.5,84.0,,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,6102.0,6128.0,,,,,,,,2.0,2896.0,,,,,,,,,,,,,,,,,, +397,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2025-07-24 00:48:57.000000,2024-06-14 19:31:58,659.0,1020.0,137.0,106.0,87.0,312.0,6704.0,A Python scikit for building and analyzing recommender systems.,46.0,27,False,,2024-05-19 14:25:59.000,1.1.4,12.0,,scikit-surprise,conda-forge/scikit-surprise,,,,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,132896.0,141796.0,https://anaconda.org/conda-forge/scikit-surprise,2025-04-22 14:56:45.083,560715.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +398,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,1358.0,348.0,15.0,42.0,68.0,6584.0,Python library for processing Chinese text.,8.0,27,False,,2015-09-27 16:35:23.000,0.12.3,17.0,,snownlp,,,,,1735.0,1727.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,52326.0,52326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +399,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,MIT,2013-04-05 23:14:27.000,2024-12-03 17:50:20.000000,2024-12-03 17:50:20,6627.0,1548.0,615.0,2112.0,453.0,1338.0,6352.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",124.0,27,True,,2018-06-01 15:39:25.550,1.0.5,53.0,numenta/nupic-legacy,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,509.0,509.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,, +400,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-11-25 15:30:52.000000,2023-01-19 00:37:33,900.0,1211.0,147.0,954.0,60.0,791.0,5912.0,Gluon CV Toolkit.,119.0,27,False,,2022-03-07 23:40:19.000,0.10.5,1535.0,,gluoncv,,,,['mxnet'],77.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,56.0,44019.0,44019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +401,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,867.0,120.0,64.0,136.0,74.0,5136.0,Image augmentation library in Python for machine learning.,23.0,27,False,,2023-03-29 07:06:01.465,0.2.12,24.0,,Augmentor,,,,,966.0,954.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,10564.0,10564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +402,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,780.0,265.0,438.0,221.0,329.0,4839.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,,2018-01-22 06:03:37.000,1.3.5,28.0,,edward,,,,['tensorflow'],354.0,352.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,566.0,566.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,, +403,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-11-27 09:38:10.000000,2024-11-27 09:38:09,1139.0,768.0,58.0,1015.0,187.0,743.0,4669.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,,2023-07-04 07:12:41.567,1.0.1,20.0,,mmocr,,,,['pytorch'],239.0,235.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,6000.0,6000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +404,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2025-07-27 18:33:09.000000,2025-07-27 18:33:08,559.0,765.0,174.0,90.0,1.0,289.0,4642.0,A python wrapper for Alpha Vantage API for financial data.,44.0,27,True,,2024-07-18 14:29:16.000,3.0.0,35.0,,alpha_vantage,conda-forge/alpha_vantage,,,,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,138094.0,138271.0,https://anaconda.org/conda-forge/alpha_vantage,2025-04-22 14:57:44.470,10143.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +405,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2025-04-22 14:57:33.497000,2023-07-05 18:14:28,901.0,560.0,102.0,623.0,99.0,608.0,4381.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,,2022-08-21 12:49:43.000,1.5,24.0,,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,446044.0,447643.0,https://anaconda.org/conda-forge/yellowbrick,2025-04-22 14:57:33.497,99198.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +406,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2025-04-22 14:56:47.205000,2020-04-27 18:40:41,522.0,1269.0,167.0,215.0,49.0,145.0,3961.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,,2020-04-30 15:42:52.000,0.4.0,10.0,,alphalens,conda-forge/alphalens,,,,753.0,748.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1474.0,1765.0,https://anaconda.org/conda-forge/alphalens,2025-04-22 14:56:47.205,26836.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +407,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2025-08-27 15:36:13.000000,2025-08-27 15:36:13,1503.0,287.0,23.0,1767.0,254.0,734.0,3928.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,55.0,27,False,1.0,2024-12-15 15:25:39.000,0.19.1,62.0,,deepchecks,,,,,549.0,537.0,https://pypi.org/project/deepchecks,2024-12-15 15:25:31.000,12.0,41412.0,41444.0,,,,,,,,2.0,1581.0,,,,,,,,,,,,,,,,,, +408,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2025-09-26 12:55:09.000000,2025-09-26 12:54:18,1214.0,495.0,78.0,59.0,67.0,206.0,3822.0,A library of reinforcement learning components and agents.,90.0,27,True,1.0,2022-02-10 06:52:27.000,0.4.0,15.0,google-deepmind/acme,dm-acme,conda-forge/dm-acme,,,['tensorflow'],257.0,254.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,6358.0,6600.0,https://anaconda.org/conda-forge/dm-acme,2025-04-22 14:57:40.447,14301.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +409,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2025-06-15 18:02:32.000000,2024-06-22 17:36:10,1146.0,271.0,62.0,124.0,7.0,298.0,3624.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,False,,2024-06-22 19:12:02.000,0.3.3,23.0,,vidgear,,,,,762.0,747.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,24269.0,24303.0,,,,,,,,3.0,2754.0,,,,,,,,,,,,,,,,,, +410,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2025-05-12 13:47:27.000000,2025-05-08 17:35:54,4165.0,396.0,83.0,73.0,162.0,194.0,3547.0,a library for audio and music analysis.,26.0,27,False,,2019-02-27 09:00:43.000,0.4.9,10.0,,aubio,conda-forge/aubio,,,,598.0,578.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,20.0,15676.0,26882.0,https://anaconda.org/conda-forge/aubio,2025-04-22 14:56:33.269,1154270.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +411,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2025-10-21 03:35:02.000000,2025-09-10 16:50:29,3143.0,758.0,155.0,68.0,4.0,957.0,3537.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,41.0,27,True,11.0,2025-10-09 17:46:54.000,1.10.0-beta,24.0,,,bioconda/deepvariant,,,['tensorflow'],4.0,4.0,,,,,899.0,https://anaconda.org/bioconda/deepvariant,2025-05-24 22:00:53.930,78886.0,,,,,3.0,4879.0,,,,,,,,,,,,,,,,,, +412,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,529.0,138.0,240.0,44.0,635.0,3314.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,False,,2021-08-30 20:20:58.000,0.6.5,24.0,,tensorforce,,,,['tensorflow'],468.0,464.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,1355.0,1355.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +413,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2025-10-08 12:17:58.000000,2025-10-08 12:17:58,3714.0,572.0,106.0,375.0,414.0,707.0,3253.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",83.0,27,False,1.0,2015-03-31 16:33:30.000,2.0,22.0,,essentia,,,,,998.0,968.0,https://pypi.org/project/essentia,2025-07-24 21:07:49.000,30.0,24850.0,24850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +414,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,450.0,77.0,245.0,69.0,156.0,3144.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,False,,2022-10-31 14:47:34.183,1.0.1,24.0,,fastnlp,,,,,252.0,249.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,5938.0,5939.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,, +415,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,435.0,58.0,933.0,325.0,747.0,3033.0,StellarGraph - Machine Learning on Graphs.,40.0,27,False,,2021-02-22 06:35:38.731,1.2.1,25.0,,stellargraph,,,,['tensorflow'],320.0,309.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,2259.0,2259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +416,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2025-06-16 20:24:11.000000,2025-06-16 20:23:20,2317.0,738.0,73.0,207.0,207.0,473.0,2963.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",153.0,27,True,,2023-12-14 04:07:38.000,0.19.0,51.0,,tf-agents,,,,['tensorflow'],14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,44676.0,44676.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +417,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2025-09-18 22:02:10.000000,2025-09-18 22:02:07,2059.0,398.0,33.0,106.0,39.0,172.0,2884.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,39.0,27,True,6.0,2025-07-16 05:35:08.000,0.56.2,50.0,,torch-geometric-temporal,,,,['pytorch'],12.0,,https://pypi.org/project/torch-geometric-temporal,2025-07-16 05:35:08.000,12.0,6675.0,6675.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +418,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2025-10-12 08:30:55.000000,2025-10-12 08:30:55,183.0,362.0,26.0,372.0,45.0,366.0,2780.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,17.0,27,True,4.0,2025-05-20 19:43:51.000,1.2.0,25.0,adapter-hub/adapters,adapter-transformers,,,,['huggingface'],267.0,255.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,4880.0,4880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +419,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2025-10-17 13:23:21.000000,2025-10-10 16:32:09,679.0,258.0,50.0,695.0,151.0,225.0,2571.0,Algorithms for explaining machine learning models.,25.0,27,False,9.0,2024-04-18 15:30:25.000,0.9.6,34.0,,alibi,,,,,853.0,828.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,20918.0,20918.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +420,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,730.0,166.0,94.0,136.0,358.0,2546.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,27,False,,2018-11-11 16:46:28.000,0.5.21,52.0,,enigma-catalyst,,,,,31.0,29.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,1328.0,1328.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +421,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2025-04-22 14:56:38.875000,2018-08-19 12:37:47,130.0,285.0,60.0,61.0,31.0,39.0,2440.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,27,False,,2018-08-19 12:25:39.290,0.3.7,27.0,,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],6613.0,6528.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,367620.0,370473.0,https://anaconda.org/conda-forge/scikit-plot,2025-04-22 14:56:38.875,282524.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +422,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2025-04-22 14:57:21.393000,2024-10-08 16:09:34,62.0,526.0,42.0,29.0,49.0,81.0,2436.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,True,,2024-10-08 01:42:18.000,1.0.0,12.0,,mtcnn,conda-forge/mtcnn,,,['tensorflow'],9241.0,9168.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,211351.0,211593.0,https://anaconda.org/conda-forge/mtcnn,2025-04-22 14:57:21.393,16109.0,,,,,3.0,76.0,,,,,,,,,,,,,,,,,, +423,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2025-10-27 16:09:52.000000,2025-10-27 16:09:45,519.0,329.0,67.0,140.0,24.0,111.0,2386.0,ffn - a financial function library for Python.,36.0,27,True,8.0,2025-02-11 21:34:04.000,1.1.2,39.0,,ffn,conda-forge/ffn,,,,603.0,581.0,https://pypi.org/project/ffn,2025-02-11 21:08:01.000,22.0,25034.0,25508.0,https://anaconda.org/conda-forge/ffn,2025-04-22 14:57:50.670,25612.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +424,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,338.0,70.0,55.0,170.0,70.0,2347.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,,2021-12-15 16:11:38.716,15.5.1,9.0,,polyglot,,,,,1572.0,1523.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,152796.0,152796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +425,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,318.0,59.0,38.0,97.0,160.0,2178.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,23.0,27,False,,2019-02-28 09:16:54.000,0.4.1,9.0,,hyperas,,,,['tensorflow'],401.0,395.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,9491.0,9491.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +426,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2025-06-18 15:41:19.000000,2025-06-18 15:41:11,393.0,175.0,23.0,85.0,52.0,36.0,1858.0,A Python package for time series classification.,15.0,27,True,,2023-06-18 12:36:11.801,0.13.0,19.0,,pyts,conda-forge/pyts,,,,940.0,895.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,190080.0,190814.0,https://anaconda.org/conda-forge/pyts,2025-04-22 14:57:10.207,35256.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +427,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2025-04-22 14:57:59.303000,2023-10-08 14:28:43,1157.0,213.0,31.0,1081.0,25.0,496.0,1738.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,False,,2023-06-30 13:37:19.283,0.8.2,40.0,Lightning-Universe/lightning-flash,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],321.0,316.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2089.0,2756.0,https://anaconda.org/conda-forge/lightning-flash,2025-04-22 14:57:59.303,33388.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +428,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,255.0,41.0,263.0,68.0,214.0,1509.0,Python audio and music signal processing library.,24.0,27,False,,2018-11-14 14:57:41.000,0.16.1,11.0,,madmom,,,,,537.0,510.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,6404.0,6404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +429,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,302.0,68.0,742.0,58.0,168.0,1484.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,,2019-06-12 11:55:40.000,0.13.1,25.0,,chainercv,,,,,425.0,423.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,2193.0,2193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +430,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2025-10-19 21:40:52.000000,2025-10-19 21:40:48,697.0,170.0,48.0,166.0,26.0,385.0,1445.0,moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021).,28.0,27,False,7.0,2025-02-12 20:48:06.000,1.7.2,29.0,,dalex,conda-forge/dalex,,,,244.0,237.0,https://pypi.org/project/dalex,2025-02-12 20:48:06.000,7.0,34267.0,34848.0,https://anaconda.org/conda-forge/dalex,2025-04-22 14:57:44.228,33158.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +431,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2025-04-22 14:56:47.167000,2020-10-14 13:22:39,167.0,444.0,70.0,89.0,37.0,26.0,1417.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,,2020-10-13 21:29:19.000,0.5.5,21.0,,empyrical,conda-forge/empyrical,,,,1826.0,1770.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,24625.0,25159.0,https://anaconda.org/conda-forge/empyrical,2025-04-22 14:56:47.167,49217.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +432,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,177.0,23.0,36.0,1.0,116.0,1276.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,,2021-10-21 17:50:40.000,0.7.0,29.0,,fancyimpute,,,,['sklearn'],1924.0,1903.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,97695.0,97695.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +433,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2025-08-06 02:31:23.000000,2025-08-06 02:30:43,1570.0,282.0,61.0,117.0,38.0,59.0,1267.0,Model analysis tools for TensorFlow.,61.0,27,True,1.0,2025-06-23 17:12:29.000,0.48.0,60.0,,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",20.0,,https://pypi.org/project/tensorflow-model-analysis,2025-06-23 17:07:35.000,20.0,195399.0,195399.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +434,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2025-10-30 09:42:03.000000,2025-02-19 14:28:48,2077.0,233.0,36.0,660.0,109.0,498.0,1201.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,43.0,27,False,,2025-03-20 15:27:01.000,2.3.1,51.0,,smac,conda-forge/smac,,,,53.0,,https://pypi.org/project/smac,2025-03-20 15:27:01.000,53.0,25481.0,26166.0,https://anaconda.org/conda-forge/smac,2025-04-22 14:57:48.900,37675.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +435,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2025-10-09 21:44:53.402000,2025-09-03 13:49:14,810.0,74.0,15.0,141.0,63.0,128.0,1164.0,Visualize large time series data with plotly.py.,14.0,27,True,7.0,2025-08-29 12:23:10.000,0.11.0,65.0,,plotly-resampler,conda-forge/plotly-resampler,,,,2083.0,2045.0,https://pypi.org/project/plotly-resampler,2025-08-29 12:15:48.000,38.0,369213.0,372214.0,https://anaconda.org/conda-forge/plotly-resampler,2025-10-09 21:44:53.402,135050.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +436,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2025-10-29 17:18:56.000000,2025-09-24 17:04:06,16778.0,406.0,41.0,1699.0,350.0,3012.0,1056.0,An open-source application for biological image analysis.,147.0,27,True,3.0,2024-09-27 21:18:50.000,4.2.8,35.0,,cellprofiler,,,,,30.0,28.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1647.0,1816.0,,,,,,,,3.0,23947.0,,,,,,,,,,,,,,,,,, +437,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2025-04-22 14:56:22.872000,2023-02-20 00:24:10,1723.0,192.0,37.0,177.0,73.0,176.0,981.0,A Jupyter - Three.js bridge.,30.0,27,False,,2023-02-20 00:24:01.104,2.4.2,46.0,,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,180607.0,194690.0,https://anaconda.org/conda-forge/pythreejs,2025-04-22 14:56:22.872,814180.0,,,,,3.0,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,514.0,,,,,,,,,,,,, +438,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,174.0,29.0,87.0,88.0,123.0,951.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,,2018-12-10 16:24:47.000,0.2.0,7.0,,scikit-multilearn,,,,['sklearn'],2196.0,2171.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,93004.0,93004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +439,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2025-10-21 21:07:30.102000,2025-08-05 04:46:43,1329.0,149.0,45.0,60.0,20.0,72.0,875.0,Computer Vision in Python.,35.0,27,True,1.0,2024-07-17 21:10:14.000,1.4.18,63.0,,mahotas,conda-forge/mahotas,,,,1631.0,1568.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,42068.0,54412.0,https://anaconda.org/conda-forge/mahotas,2025-10-21 21:07:30.102,790073.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +440,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2025-04-28 08:19:30.000000,2025-04-28 08:19:30,625.0,115.0,15.0,207.0,124.0,141.0,802.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",38.0,27,True,,2025-01-25 09:16:44.000,0.13.1,17.0,,soundfile,anaconda/pysoundfile,,,,1067.0,,https://pypi.org/project/soundfile,2025-01-25 09:16:44.000,1067.0,9491715.0,9491866.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,21261.0,,,,,,,,,,,,,,,,,, +441,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2025-08-13 21:58:42.000000,2025-08-13 21:51:55,670.0,102.0,21.0,136.0,6.0,119.0,781.0,Python library for reading audio file metadata.,27.0,27,True,1.0,2025-08-13 21:58:42.000,2.1.2,45.0,tinytag/tinytag,tinytag,,,,,1435.0,1304.0,https://pypi.org/project/tinytag,2025-08-13 21:56:26.000,131.0,116788.0,116788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +442,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-09-17 14:13:04.000,2025-04-22 14:56:33.006000,2024-07-03 17:02:18,237.0,62.0,12.0,208.0,14.0,187.0,357.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,27,False,,2024-07-03 17:04:15.000,3.10.0,73.0,,pystan,conda-forge/pystan,,,,10730.0,10569.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,607551.0,658551.0,https://anaconda.org/conda-forge/pystan,2025-04-22 14:56:33.006,3162032.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +443,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,1310.0,184.0,214.0,35.0,535.0,10037.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,,21.0,21.0,,,,,333.0,,,,,,,,3.0,19014.0,,,,,,,,,,,,,,,,,, +444,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2025-07-30 05:57:03.000000,2025-07-30 05:49:54,428.0,1289.0,126.0,135.0,48.0,519.0,7365.0,Backtest trading strategies in Python.,36.0,26,False,,2025-07-30 05:57:03.000,0.6.5,6.0,,backtesting,,,,,7.0,,https://pypi.org/project/backtesting,2025-07-30 05:57:03.000,7.0,100411.0,100411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +445,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2025-08-31 01:15:56.000000,2025-08-31 01:15:50,344.0,1056.0,49.0,35.0,69.0,113.0,6178.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,26,True,1.0,2022-01-14 08:49:08.000,0.6.6,23.0,,scikit-opt,,,,['sklearn'],296.0,281.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,9088.0,9088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +446,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2025-04-22 14:57:29.789000,2022-05-03 07:13:22,108.0,603.0,135.0,31.0,69.0,55.0,5681.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,,18.0,,flashtext,conda-forge/flashtext,,,,2103.0,2047.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1833977.0,1834341.0,https://anaconda.org/conda-forge/flashtext,2025-04-22 14:57:29.789,22984.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +447,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2025-04-22 14:57:50.621000,2024-06-09 21:29:43,1062.0,1094.0,251.0,219.0,53.0,204.0,5592.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,False,,2021-05-10 18:04:30.000,1.0.3,27.0,,tensortrade,conda-forge/tensortrade,,,,74.0,73.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1304.0,1404.0,https://anaconda.org/conda-forge/tensortrade,2025-04-22 14:57:50.621,5444.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +448,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2025-08-15 15:19:22.000000,2025-08-15 14:46:15,569.0,465.0,60.0,100.0,36.0,104.0,5523.0,Finding duplicate images made easy!.,19.0,26,True,2.0,2025-08-15 15:19:22.000,0.3.3.post2,15.0,,imagededup,,,,['tensorflow'],229.0,200.0,https://pypi.org/project/imagededup,2025-08-15 15:03:36.000,29.0,69428.0,69428.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,, +449,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2025-10-27 10:23:23.000000,2025-10-27 10:20:36,243.0,308.0,79.0,187.0,24.0,56.0,5054.0,"A data augmentations library for audio, image, text, and video.",42.0,26,True,4.0,2023-12-05 20:52:12.000,1.0.1,18.0,,augly,,,,,187.0,183.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,13406.0,13406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +450,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2025-09-16 22:04:42.000000,2024-08-02 08:16:49,252.0,994.0,52.0,58.0,82.0,109.0,5024.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,26,False,,2024-04-29 17:50:14.000,2.6.0,33.0,,facenet-pytorch,,,,['pytorch'],69.0,,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,69.0,119720.0,151395.0,,,,,,,,3.0,2248955.0,,,,,,,,,,,,,,,,,, +451,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2025-01-08 20:48:50.000000,2024-09-13 01:42:25,1464.0,500.0,54.0,831.0,71.0,499.0,4194.0,NeuralProphet: A simple forecasting package.,56.0,26,False,,2024-06-21 07:42:22.000,0.9.0,36.0,,neuralprophet,,,,['pytorch'],8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,77908.0,77908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +452,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2025-04-22 14:57:07.761000,2025-02-07 18:03:57,996.0,593.0,92.0,344.0,39.0,763.0,3488.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,26,True,,2025-02-07 18:05:56.000,1.1.2,78.0,,pomegranate,conda-forge/pomegranate,,,,67.0,,https://pypi.org/project/pomegranate,2025-02-07 18:05:56.000,67.0,35909.0,39493.0,https://anaconda.org/conda-forge/pomegranate,2025-04-22 14:57:07.761,232969.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +453,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2025-03-20 19:09:46.000000,2025-03-20 19:09:13,8394.0,365.0,78.0,9859.0,103.0,350.0,3192.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",125.0,26,True,,2025-03-19 23:12:44.000,0.38.1,607.0,,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2025-03-19 23:33:17.000,4.0,33437.0,33572.0,,,,,,,,3.0,7832.0,,,,,,,,,,,,,,,,,, +454,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2025-04-22 14:57:50.627000,2023-06-20 03:14:12,435.0,305.0,31.0,477.0,54.0,30.0,3146.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,26,False,,2021-10-31 03:00:19.000,0.3.0,21.0,,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,246298.0,246592.0,https://anaconda.org/conda-forge/torch-optimizer,2025-04-22 14:57:50.627,15895.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +455,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2025-04-22 14:56:38.712000,2023-12-19 18:37:18,17589.0,1050.0,209.0,3649.0,429.0,1115.0,3055.0,Unified and efficient Machine Learning.,248.0,26,False,,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,,conda-forge/shogun,shogun/shogun,,,,,,,,,2371.0,https://anaconda.org/conda-forge/shogun,2025-04-22 14:56:38.712,233970.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1558.0,3.0,,,,,,,,,shogun,,,,,,,,,, +456,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2025-04-22 14:57:46.014000,2023-11-29 13:26:08,135.0,284.0,50.0,25.0,47.0,97.0,3054.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,False,,2023-11-29 13:30:45.000,2.3.1,35.0,,sweetviz,conda-forge/sweetviz,,,,3196.0,3166.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,103695.0,104555.0,https://anaconda.org/conda-forge/sweetviz,2025-04-22 14:57:46.014,48195.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +457,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2025-04-22 14:58:07.520000,2023-07-23 14:42:27,191.0,512.0,35.0,253.0,67.0,307.0,2863.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,False,,2023-07-23 13:34:05.000,4.1.0,19.0,,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,68883.0,69145.0,https://anaconda.org/conda-forge/pytorch-tabnet,2025-04-22 14:58:07.520,12066.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +458,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2025-09-27 07:58:17.000000,2025-02-03 12:43:27,770.0,366.0,75.0,594.0,144.0,95.0,2782.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,26,True,,2021-12-03 22:33:39.000,2021.12.3,25.0,,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,60795.0,60795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +459,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,477.0,90.0,44.0,91.0,240.0,2781.0,Learning to Rank in TensorFlow.,36.0,26,False,,2024-03-18 21:00:38.000,0.5.5,23.0,,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,75095.0,75095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +460,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2025-04-30 05:40:51.091000,2020-01-22 07:39:36,1198.0,329.0,64.0,168.0,164.0,113.0,2772.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,,2025-04-20 16:37:59.000,0.16.0,33.0,,eli5,conda-forge/eli5,,,,66.0,,https://pypi.org/project/eli5,2025-04-20 16:37:59.000,66.0,141950.0,145566.0,https://anaconda.org/conda-forge/eli5,2025-04-30 05:40:51.091,231463.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +461,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2025-08-29 07:28:05.000000,2025-08-29 07:28:02,3560.0,339.0,151.0,1185.0,35.0,60.0,2766.0,Neural Network Libraries.,76.0,26,True,1.0,2024-05-29 05:14:17.000,1.39.0,79.0,,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,1606.0,1616.0,,,,,,,,3.0,1041.0,,,,,,,,,,,,,,,,,, +462,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2025-04-22 14:57:06.322000,2024-08-12 14:54:41,1058.0,417.0,118.0,147.0,199.0,250.0,2736.0,PYthon svg GrAph plotting Library.,77.0,26,False,,2024-08-12 14:55:21.000,3.0.5,81.0,,pygal,conda-forge/pygal,,,,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,402673.0,406561.0,https://anaconda.org/conda-forge/pygal,2025-04-22 14:57:06.322,128312.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +463,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2025-10-22 17:12:30.000000,2025-10-16 15:02:15,439.0,869.0,88.0,297.0,200.0,104.0,2683.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,1.0,2024-04-08 20:03:12.000,0.6.1,12.0,,aif360,conda-forge/aif360,,,,773.0,741.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,28767.0,29244.0,https://anaconda.org/conda-forge/aif360,2025-04-22 14:57:36.856,29115.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +464,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2025-04-30 17:25:15.000000,2025-04-30 17:04:22,704.0,261.0,31.0,153.0,30.0,147.0,2549.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,32.0,26,True,,2025-04-30 17:25:15.000,2.3.0,20.0,,norfair,,,,,348.0,339.0,https://pypi.org/project/norfair,2025-04-30 17:25:15.000,9.0,43624.0,43629.0,,,,,,,,3.0,363.0,,,,,,,,,,,,,,,,,, +465,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,325.0,62.0,15.0,28.0,47.0,2435.0,Stand-alone language identification system.,9.0,26,False,,2016-04-05 22:34:15.000,1.1.6,8.0,,langid,,,,,155.0,,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,467607.0,467607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +466,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,617.0,84.0,29.0,25.0,52.0,2417.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,26,False,,2020-01-14 14:12:10.000,0.6.1,6.0,,python_speech_features,,,,,1126.0,1072.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,92207.0,92207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +467,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2025-10-12 19:43:58.000000,2025-10-12 19:43:57,598.0,191.0,54.0,490.0,82.0,106.0,2276.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,34.0,26,True,3.0,2025-04-20 10:27:23.000,1.1.11,28.0,,hivemind,,,,,144.0,132.0,https://pypi.org/project/hivemind,2025-04-20 10:21:51.000,12.0,43145.0,43145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +468,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2025-08-29 23:25:50.219000,2024-08-31 13:01:11,360.0,330.0,1.0,1.0,1.0,,2134.0,Feature engineering package with sklearn like functionality.,49.0,26,False,,2025-08-28 17:15:59.000,1.9.3,46.0,,feature_engine,conda-forge/feature_engine,,,,203.0,,https://pypi.org/project/feature_engine,2025-08-28 17:15:59.000,203.0,300486.0,301797.0,https://anaconda.org/conda-forge/feature_engine,2025-08-29 23:25:50.219,81317.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +469,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2025-04-22 15:32:32.084000,2021-07-16 09:03:20,66.0,463.0,36.0,43.0,64.0,58.0,2098.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,,2020-09-15 16:26:00.000,1.1.1,9.0,,efficientnet,anaconda/efficientnet,,,['tensorflow'],2792.0,2778.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,72008.0,75454.0,https://anaconda.org/anaconda/efficientnet,2025-04-22 15:32:32.084,752.0,,,,,3.0,264452.0,,,,,,,,,,,,,,,,,, +470,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,317.0,54.0,1313.0,235.0,810.0,2041.0,A toolkit for reproducible reinforcement learning research.,79.0,26,False,,2021-03-23 22:18:36.000,2021.3.0,21.0,,garage,,,,['tensorflow'],126.0,122.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,1393.0,1393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +471,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2025-03-11 16:17:01.000000,2025-03-11 16:16:55,3948.0,308.0,29.0,585.0,115.0,727.0,1978.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,87.0,26,True,,2024-10-29 08:53:47.000,0.6.0,9.0,,avalanche-lib,,,,,148.0,145.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,3206.0,3207.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,, +472,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2025-07-10 19:16:42.000000,2025-07-10 19:16:36,1680.0,163.0,56.0,70.0,68.0,130.0,1873.0,A Python toolbox for gaining geometric insights into high-dimensional data.,23.0,26,True,,2025-07-09 17:59:46.000,0.8.1,22.0,,hypertools,,,,,509.0,507.0,https://pypi.org/project/hypertools,2025-07-09 17:59:46.000,2.0,1052.0,1052.0,,,,,,,,3.0,73.0,,,,,,,,,,,,,,,,,, +473,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2025-04-22 14:57:59.344000,2024-06-10 12:07:33,223.0,205.0,31.0,20.0,2.0,97.0,1860.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,26,False,,2024-06-10 12:09:16.000,0.1.905,90.0,,autoviz,conda-forge/autoviz,,,,903.0,892.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,20663.0,22645.0,https://anaconda.org/conda-forge/autoviz,2025-04-22 14:57:59.344,99149.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +474,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2025-07-23 08:17:23.000000,2025-07-23 08:17:23,163.0,303.0,52.0,90.0,24.0,191.0,1753.0,"Genetic Programming in Python, with a scikit-learn inspired API.",12.0,26,True,,2022-05-03 10:56:08.000,0.4.2,7.0,,gplearn,conda-forge/gplearn,,,['sklearn'],751.0,732.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,19570.0,19742.0,https://anaconda.org/conda-forge/gplearn,2025-04-22 14:57:28.627,11052.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +475,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2025-10-03 03:38:44.593000,2025-08-12 12:52:23,1049.0,198.0,15.0,90.0,27.0,396.0,1695.0,PyTorch Extension Library of Optimized Scatter Operations.,34.0,26,True,2.0,2023-10-06 08:49:07.000,2.1.2,32.0,,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,81646.0,97697.0,https://anaconda.org/conda-forge/pytorch_scatter,2025-10-03 03:38:44.593,1027311.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +476,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2025-04-22 15:32:21.921000,2024-11-25 22:31:52,1041.0,601.0,104.0,296.0,22.0,300.0,1630.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,26,True,,2024-11-25 22:37:09.000,2.13.0,36.0,,tabpy,anaconda/tabpy-client,,,,217.0,215.0,https://pypi.org/project/tabpy,2024-11-25 22:37:09.000,2.0,7058.0,7114.0,https://anaconda.org/anaconda/tabpy-client,2025-04-22 15:32:21.921,5782.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +477,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,312.0,24.0,381.0,62.0,155.0,1587.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,,2023-09-26 07:49:38.000,2.2.6,21.0,,pgl,,,,['paddle'],69.0,68.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,1136.0,1136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +478,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2025-08-26 18:50:54.000000,2025-08-26 18:50:52,1097.0,129.0,19.0,118.0,38.0,60.0,1507.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",27.0,26,True,8.0,2025-08-26 18:50:40.000,2.0.3,53.0,,imodels,,,,,141.0,129.0,https://pypi.org/project/imodels,2025-08-26 18:50:40.000,12.0,29501.0,29501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +479,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2025-04-22 14:57:23.763000,2024-08-03 19:34:12,297.0,231.0,42.0,186.0,53.0,122.0,1425.0,Metric learning algorithms in Python.,24.0,26,False,,2023-10-09 04:53:59.000,0.7.0,11.0,,metric-learn,conda-forge/metric-learn,,,['sklearn'],502.0,495.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,10291.0,10575.0,https://anaconda.org/conda-forge/metric-learn,2025-04-22 14:57:23.763,17894.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +480,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2025-05-18 08:18:51.000000,2025-05-18 08:17:51,74.0,309.0,55.0,69.0,13.0,115.0,1424.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,26,True,,2025-05-18 08:18:51.000,0.6.5,27.0,,stockstats,,,,,1321.0,1307.0,https://pypi.org/project/stockstats,2025-05-18 08:18:51.000,14.0,51347.0,51347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +481,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2025-09-26 14:28:06.000000,2025-09-26 14:28:01,217.0,95.0,30.0,122.0,9.0,19.0,1367.0,A library of reinforcement learning building blocks in JAX.,23.0,26,True,3.0,2025-09-01 23:39:58.000,0.1.8,12.0,google-deepmind/rlax,rlax,,,,['jax'],390.0,368.0,https://pypi.org/project/rlax,2025-09-01 23:39:58.000,22.0,48087.0,48087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +482,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2025-04-11 14:13:23.000000,2023-10-12 14:56:47,1107.0,235.0,31.0,69.0,57.0,206.0,1302.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,26,False,,2023-10-12 14:58:48.000,2.1.2,8.0,,innvestigate,,,,['tensorflow'],152.0,150.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,1755.0,1760.0,,,,,,,,2.0,197.0,,,,,,,,,,,,,,,,,, +483,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2025-02-06 20:19:28.000000,2024-07-09 16:09:26,3066.0,268.0,29.0,38.0,1.0,500.0,1263.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,26,False,,2024-06-19 01:15:40.000,0.41.4,211.0,,ktrain,,,,['tensorflow'],581.0,577.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,2934.0,2934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +484,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2025-10-06 21:44:44.000000,2025-07-29 22:47:55,265.0,131.0,11.0,60.0,37.0,30.0,1130.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,14.0,26,True,,2024-02-01 14:51:21.000,0.5.2,13.0,,detoxify,,,,,1006.0,976.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,136305.0,168380.0,,,,,,,,3.0,1892455.0,,,,,,,,,,,,,,,,,, +485,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2025-08-28 15:44:54.000000,2025-08-20 12:58:41,440.0,153.0,17.0,88.0,5.0,82.0,1055.0,An intuitive library to extract features from time series.,21.0,26,True,3.0,2025-08-20 13:08:29.000,0.2.0,13.0,,tsfel,,,,,233.0,219.0,https://pypi.org/project/tsfel,2025-08-20 13:01:39.000,14.0,9365.0,9365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +486,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2025-08-06 18:21:42.000000,2025-08-06 18:19:48,1003.0,215.0,54.0,112.0,39.0,180.0,987.0,Input pipeline framework.,31.0,26,True,1.0,2025-06-13 22:49:45.000,1.17.0,59.0,,tensorflow-transform,,,,['tensorflow'],19.0,,https://pypi.org/project/tensorflow-transform,2025-06-13 22:57:53.000,19.0,253297.0,253297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +487,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,261.0,41.0,72.0,104.0,188.0,948.0,Gaussian Process Optimization using GPy.,51.0,26,False,,2020-03-19 21:21:18.000,1.2.6,11.0,,gpyopt,,,,,627.0,590.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,10792.0,10792.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +488,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2025-04-22 14:58:02.377000,2021-02-11 16:40:18,279.0,85.0,12.0,51.0,24.0,53.0,878.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,26,False,,2021-02-11 16:42:37.000,0.3.4,15.0,,pysbd,conda-forge/pysbd,,,,8002.0,7925.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,934562.0,934811.0,https://anaconda.org/conda-forge/pysbd,2025-04-22 14:58:02.377,11984.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +489,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2025-09-04 14:24:28.000000,2025-09-04 14:24:28,504.0,53.0,8.0,78.0,195.0,471.0,738.0,python binding for libvips using cffi.,17.0,26,True,3.0,2025-04-28 10:07:43.000,3.0.0,27.0,,pyvips,conda-forge/pyvips,,,,1288.0,1194.0,https://pypi.org/project/pyvips,2025-04-28 10:07:43.000,94.0,189851.0,194185.0,https://anaconda.org/conda-forge/pyvips,2025-09-04 11:40:57.991,260094.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +490,deepinv,deepinv/deepinv,ml-frameworks,,https://github.com/deepinv/deepinv,https://github.com/deepinv/deepinv,BSD-3-Clause,2023-02-10 08:40:58.000,2025-10-29 23:04:21.000000,2025-10-29 23:04:20,1194.0,119.0,9.0,561.0,118.0,234.0,537.0,DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning.,53.0,26,True,102.0,2025-10-08 19:47:50.000,0.3.5,13.0,,deepinv,,,https://deepinv.github.io/deepinv/,,23.0,23.0,https://pypi.org/project/deepinv,2025-10-08 19:47:50.000,,2421.0,2421.0,,,,,,,,3.0,24.0,,,,,,,,,,,,,,,,,, +491,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2025-10-27 16:23:11.000000,2025-10-26 23:19:26,1222.0,9.0,3.0,293.0,18.0,41.0,238.0,Beautiful ridgeline plots in Python.,4.0,26,False,131.0,2025-10-12 05:32:45.000,0.5.0,32.0,,ridgeplot,,,https://ridgeplot.readthedocs.io/,,286.0,278.0,https://pypi.org/project/ridgeplot,2025-10-12 05:31:55.000,8.0,20561.0,20562.0,,,,,,,,3.0,50.0,,,,,,,,,,,,,,,,,, +492,pandas-ai,gventuri/pandas-ai,others,,https://github.com/sinaptik-ai/pandas-ai,https://github.com/sinaptik-ai/pandas-ai,,2023-04-22 12:58:01.000,2025-10-28 10:02:13.000000,2025-10-28 10:02:13,1416.0,2172.0,169.0,713.0,11.0,890.0,22470.0,"Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs..",112.0,25,False,65.0,2025-10-07 08:22:13.000,3.0.0,100.0,sinaptik-ai/pandas-ai,pandas-ai,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +493,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2025-08-07 06:18:09.000000,2025-08-07 06:17:10,1085.0,963.0,175.0,329.0,337.0,294.0,5815.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,True,1.0,2020-07-24 06:34:39.000,0.3.1,12.0,,mmdnn,,,,,161.0,161.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,325.0,366.0,,,,,,,,2.0,3952.0,,,,,,,,,,,,,,,,,, +494,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2025-10-30 14:24:12.000000,2025-10-30 14:24:12,4007.0,648.0,90.0,4407.0,261.0,1443.0,5539.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,99.0,25,True,77.0,2025-10-27 14:10:55.000,1.52.0,93.0,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +495,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,656.0,152.0,130.0,85.0,101.0,4697.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,,2021-03-19 16:01:00.000,0.3.10,17.0,,lucid,,,,['tensorflow'],820.0,814.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,754.0,754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +496,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,1385.0,354.0,59.0,51.0,,4614.0,Python Algorithmic Trading Library.,11.0,25,False,,,,8.0,,pyalgotrade,,,,,214.0,214.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,1513.0,1513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +497,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2025-03-25 16:28:44.170000,2025-02-24 07:16:40,4388.0,688.0,38.0,1030.0,345.0,720.0,4053.0,"A unified, comprehensive and efficient recommendation library.",79.0,25,True,,2025-02-24 03:08:28.000,1.2.1,11.0,,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2025-02-24 03:08:28.000,2.0,98472.0,98629.0,https://anaconda.org/aibox/recbole,2025-03-25 16:28:44.170,9263.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +498,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2025-04-22 14:57:18.376000,2023-04-27 20:08:56,632.0,945.0,274.0,226.0,16.0,356.0,3870.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,25,False,,2022-04-21 20:41:22.000,2.2.5,32.0,,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,13808.0,14256.0,https://anaconda.org/conda-forge/tensorflowonspark,2025-04-22 14:57:18.376,31364.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +499,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2025-08-22 01:55:34.000000,2024-12-20 21:19:02,1587.0,363.0,64.0,1487.0,118.0,88.0,3601.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,25,True,,2024-12-20 21:57:28.000,1.3.1,20.0,,lit-nlp,conda-forge/lit-nlp,,,,3.0,,https://pypi.org/project/lit-nlp,2024-12-20 21:27:54.000,3.0,11341.0,13475.0,https://anaconda.org/conda-forge/lit-nlp,2025-04-22 14:57:35.818,130176.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +500,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2025-10-27 17:14:10.000000,2025-10-27 17:10:59,184.0,418.0,151.0,87.0,105.0,101.0,3490.0,A deep learning library for video understanding research.,59.0,25,True,1.0,2022-01-20 00:16:35.000,0.1.5,9.0,,pytorchvideo,,,,['pytorch'],24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,52507.0,52507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +501,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2025-09-30 11:28:19.000000,2024-09-23 16:30:23,472.0,356.0,63.0,320.0,51.0,124.0,3133.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,False,,2023-05-25 02:30:41.654,3.7.0,55.0,,ddsp,conda-forge/ddsp,,,['tensorflow'],73.0,72.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,3134.0,3514.0,https://anaconda.org/conda-forge/ddsp,2025-04-22 14:57:27.526,24330.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +502,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,653.0,65.0,25.0,116.0,101.0,2996.0,Neural network visualization toolkit for keras.,10.0,25,False,,2017-07-06 05:11:22.255,0.4.1,11.0,,keras-vis,,,,['tensorflow'],3068.0,3067.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1233.0,1233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +503,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,249.0,48.0,484.0,60.0,70.0,2923.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,,2022-04-26 01:24:34.000,0.10.0,13.0,,m2cgen,,,,,346.0,343.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,16621.0,16622.0,,,,,,,,2.0,105.0,,,,,,,,,,,,,,,,,, +504,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2025-04-22 14:57:21.142000,2021-06-22 10:51:48,116.0,478.0,95.0,49.0,65.0,255.0,2884.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,,2019-04-08 11:28:27.000,4.0.0,5.0,,neuralcoref,conda-forge/neuralcoref,,,,776.0,755.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,1884.0,2259.0,https://anaconda.org/conda-forge/neuralcoref,2025-04-22 14:57:21.142,24689.0,,,,,3.0,1252.0,,,,,,,,,,,,,,,,,, +505,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2025-04-22 14:57:16.064000,2020-03-16 04:26:47,75.0,236.0,60.0,42.0,37.0,24.0,2816.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,,2020-03-04 04:15:47.000,0.1.8,10.0,,knockknock,conda-forge/knockknock,,,,1430.0,1425.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,49201.0,51482.0,https://anaconda.org/conda-forge/knockknock,2025-04-22 14:57:16.064,20534.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +506,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,529.0,90.0,1045.0,271.0,297.0,2557.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",88.0,25,False,,2020-08-13 19:17:42.000,0.10.0,26.0,,gluonnlp,,,,['mxnet'],22.0,,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,20776.0,20776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +507,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2025-04-29 22:00:38.000000,2025-04-29 22:00:33,390.0,291.0,50.0,14.0,23.0,80.0,2319.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,,2024-09-23 05:35:47.000,0.2.2,151.0,,scattertext,conda-forge/scattertext,,,,675.0,670.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,7514.0,8972.0,https://anaconda.org/conda-forge/scattertext,2025-04-22 14:56:39.793,142927.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +508,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,98.0,38.0,60.0,17.0,79.0,2250.0,The friendly PIL fork.,435.0,25,False,,,,72.0,,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,26242.0,26242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +509,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-11-22 16:48:16.000000,2024-02-28 15:45:58,1631.0,251.0,62.0,63.0,32.0,199.0,2224.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,25,False,,2024-02-28 15:44:03.000,2.1.0,15.0,,ampligraph,,,,['tensorflow'],70.0,68.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,766.0,766.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +510,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,254.0,51.0,56.0,24.0,50.0,2221.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,False,,2019-11-04 05:16:00.000,0.5.0,19.0,,pytorch-nlp,,,,['pytorch'],812.0,793.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,11274.0,11274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +511,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,243.0,66.0,21.0,93.0,66.0,2137.0,Open source time series library for Python.,6.0,25,False,,2017-11-21 16:27:06.000,0.4.16,36.0,,pyflux,,,,,294.0,290.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,116066.0,116066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +512,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2025-09-27 19:14:56.000000,2025-09-27 19:14:51,377.0,292.0,48.0,333.0,269.0,184.0,1985.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,45.0,25,True,3.0,2023-02-03 02:17:00.422,0.7.3,16.0,,tensorflow-recommenders,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,219493.0,219493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +513,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2025-02-07 15:09:04.000000,2025-02-07 15:09:02,1975.0,432.0,41.0,2290.0,94.0,235.0,1648.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,25,True,,2024-07-08 18:03:34.000,0.36.0,57.0,,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,10144.0,10144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +514,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,214.0,39.0,12.0,4.0,51.0,1581.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,False,,2021-07-08 19:05:05.000,1.0.2,10.0,,geffnet,,,,['pytorch'],308.0,304.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,143529.0,143529.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +515,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2025-09-22 13:16:10.000000,2025-09-22 13:16:10,208.0,335.0,46.0,45.0,101.0,117.0,1467.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,19.0,25,True,1.0,2023-11-06 16:35:44.000,0.9.3,33.0,,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],724.0,716.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,17823.0,52651.0,https://anaconda.org/anaconda/keras-ocr,2025-04-22 15:32:32.089,448.0,,,,,3.0,2124104.0,,,,,,,,,,,,,,,,,, +516,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2025-03-31 13:51:06.000000,2025-01-03 19:07:34,348.0,141.0,26.0,69.0,6.0,73.0,1317.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,True,,2025-01-03 15:28:53.000,0.5.6,26.0,,livelossplot,,,,['jupyter'],1884.0,1868.0,https://pypi.org/project/livelossplot,2025-01-03 15:28:53.000,16.0,19274.0,19274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +517,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2025-10-06 17:29:00.000000,2024-08-02 11:14:21,90.0,247.0,19.0,23.0,5.0,92.0,1285.0,Implementation of the node2vec algorithm.,16.0,25,False,,2024-08-02 11:13:59.000,0.5.0,19.0,,node2vec,conda-forge/node2vec,,,,986.0,955.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,42946.0,43370.0,https://anaconda.org/conda-forge/node2vec,2025-04-22 14:56:50.341,37746.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +518,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,122.0,11.0,26.0,29.0,16.0,1206.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,,2018-12-18 09:12:13.000,1.4.0,8.0,,gputil,,,,,9444.0,8972.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,787799.0,787799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +519,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,223.0,66.0,415.0,65.0,147.0,1197.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,25,False,,2020-02-14 05:35:56.000,0.8.0,10.0,,chainerrl,,,,,183.0,178.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,1647.0,1647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +520,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2025-10-03 08:14:44.687000,2025-08-12 12:53:29,742.0,159.0,13.0,118.0,30.0,269.0,1092.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,48.0,25,True,1.0,2023-10-06 08:51:55.000,0.6.18,31.0,,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,63424.0,78176.0,https://anaconda.org/conda-forge/pytorch_sparse,2025-10-03 08:14:44.687,944180.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +521,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,182.0,47.0,116.0,61.0,170.0,988.0,Python interface to GPU-powered libraries.,44.0,25,False,,2019-05-27 00:29:00.000,0.5.3,7.0,,scikit-cuda,,,,,353.0,330.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,3098.0,3098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +522,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2025-10-26 20:05:10.000000,2025-10-26 20:05:08,199.0,147.0,21.0,48.0,17.0,82.0,930.0,kapre: Keras Audio Preprocessors.,13.0,25,True,4.0,2025-10-26 20:04:38.000,0.4.0,25.0,,kapre,,,,['tensorflow'],2537.0,2526.0,https://pypi.org/project/kapre,2025-10-26 20:04:38.000,11.0,3187.0,3187.0,,,,,,,,3.0,33.0,,,,,,2.0,,,,,,,,,,,, +523,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2025-06-23 23:04:04.000000,2025-06-23 23:03:32,995.0,179.0,43.0,97.0,39.0,148.0,777.0,Library for exploring and validating machine learning data.,30.0,25,True,,2025-06-09 20:41:07.000,1.17.0,49.0,,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",32.0,,https://pypi.org/project/tensorflow-data-validation,2025-06-09 21:51:40.000,32.0,150850.0,150861.0,,,,,,,,3.0,1019.0,,,,,,,,,,,,,,,,,, +524,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2024-11-18 15:00:19.000000,2023-01-03 21:24:56,1146.0,158.0,29.0,25.0,35.0,236.0,735.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,25,False,,2019-04-04 19:44:59.000,0.8.2,34.0,,neupy,,,,,192.0,188.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,3559.0,3559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +525,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2025-10-06 12:30:04.000000,2025-03-25 10:51:37,923.0,123.0,40.0,119.0,51.0,48.0,733.0,Bias Auditing & Fair ML Toolkit.,23.0,25,True,,2024-01-30 12:03:19.000,1.0.0,18.0,,aequitas,,,,,208.0,200.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,19008.0,19008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +526,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2025-04-07 19:01:47.000000,2025-04-03 17:38:00,909.0,166.0,26.0,105.0,53.0,76.0,662.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,23.0,25,True,,2025-04-07 19:01:47.000,1.17.0,45.0,,ml-metadata,,,,,748.0,716.0,https://pypi.org/project/ml-metadata,2025-04-07 19:01:47.000,32.0,49709.0,49746.0,,,,,,,,3.0,2995.0,,,,,,,,,,,,,,,,,, +527,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2025-09-03 07:47:52.647000,2022-01-15 18:08:37,1718.0,73.0,12.0,13.0,44.0,7.0,643.0,Pure-Python full-text search library.,42.0,25,False,,2016-04-04 01:19:40.000,2.7.4,141.0,,whoosh,conda-forge/whoosh,,,,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,697607.0,707521.0,https://anaconda.org/conda-forge/whoosh,2025-09-03 07:47:52.647,525474.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +528,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2025-09-04 18:45:22.000000,2025-09-04 18:45:21,87.0,72.0,6.0,21.0,11.0,12.0,525.0,Find pyspark to make it importable.,16.0,25,True,9.0,2022-02-11 08:02:06.000,2.0.1,14.0,,findspark,conda-forge/findspark,,,['spark'],5743.0,5640.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2640137.0,2662468.0,https://anaconda.org/conda-forge/findspark,2025-04-22 14:56:24.321,1004897.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +529,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2025-04-22 14:57:23.846000,2019-12-05 08:17:22,46.0,215.0,19.0,17.0,46.0,23.0,431.0,scikit-learn inspired API for CRFsuite.,6.0,25,False,,2024-06-18 11:08:22.000,0.5.0,11.0,,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],8752.0,8613.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,408204.0,408851.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2025-04-22 14:57:23.846,42722.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +530,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2025-07-08 12:06:19.595000,2025-07-08 06:19:18,796.0,87.0,11.0,32.0,5.0,54.0,427.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,19.0,25,True,,2025-07-08 06:20:25.000,3.2.0,59.0,,pymap3d,conda-forge/pymap3d,,,,585.0,535.0,https://pypi.org/project/pymap3d,2025-07-08 06:20:25.000,50.0,490224.0,492180.0,https://anaconda.org/conda-forge/pymap3d,2025-07-08 12:06:19.595,119348.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +531,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2025-08-31 15:07:37.000000,2025-08-31 15:07:32,274.0,563.0,78.0,44.0,63.0,35.0,12009.0,Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely.,22.0,24,False,3.0,2025-03-03 21:33:02.000,1.4.2,17.0,,prettymaps,conda-forge/prettymaps,,,,74.0,74.0,https://pypi.org/project/prettymaps,2025-03-03 21:33:02.000,,644.0,813.0,https://anaconda.org/conda-forge/prettymaps,2025-06-11 22:55:39.146,7625.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +532,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2025-04-28 17:33:03.000000,2025-04-28 17:32:57,601.0,783.0,105.0,592.0,107.0,346.0,6442.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,61.0,24,True,,2023-03-30 16:55:07.154,0.9.4,29.0,,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,82539.0,82539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +533,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,802.0,162.0,1588.0,145.0,74.0,6338.0,A natural language modeling framework based on PyTorch.,234.0,24,False,,2020-06-08 23:30:58.000,0.3.3,13.0,,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,111.0,116.0,,,,,,,,3.0,445.0,,,,,,,,,,,,,,,,,, +534,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2025-04-24 02:53:53.000000,2025-04-24 02:51:21,1108.0,924.0,107.0,676.0,146.0,544.0,5598.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,123.0,24,True,,2019-08-26 19:04:21.000,0.3.1,12.0,,mmf,,,,['pytorch'],24.0,23.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +535,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,508.0,74.0,63.0,112.0,57.0,5552.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,24,False,,2022-04-06 04:38:09.000,0.3.4,11.0,,layoutparser,,,,,22.0,,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,186003.0,186003.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +536,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,749.0,133.0,43.0,141.0,98.0,4933.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,,2020-02-03 01:07:00.000,2.0.0,14.0,,textgenrnn,,,,['tensorflow'],1186.0,1170.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,308.0,319.0,,,,,,,,3.0,1005.0,,,,,,,,,,,,,,,,,, +537,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,1032.0,89.0,65.0,271.0,270.0,4890.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,False,,2020-01-10 11:36:02.000,1.0.1,8.0,,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,29791.0,29791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +538,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,470.0,44.0,59.0,95.0,175.0,4749.0,An Open-Source Framework for Prompt-Learning.,24.0,24,False,,2022-07-06 14:27:42.000,1.0.1,5.0,,openprompt,,,,,183.0,180.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,1005.0,1005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +539,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,727.0,60.0,247.0,130.0,826.0,4316.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",115.0,24,False,,2021-04-06 12:38:10.521,2.10.2,31.0,,stable-baselines,,,,,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,7931.0,7931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +540,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2025-07-19 00:07:13.000000,2025-07-19 00:07:13,1705.0,730.0,43.0,37.0,,619.0,4173.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,34.0,24,True,,2023-09-21 04:12:03.000,2.2.7,111.0,,deepke,,,,['pytorch'],25.0,25.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,948.0,948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +541,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,413.0,34.0,57.0,138.0,46.0,4062.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,False,,2018-09-26 05:07:28.000,1.5.1,12.0,,torchsummary,,,,['pytorch'],135.0,,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,252251.0,252251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +542,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,511.0,128.0,649.0,65.0,198.0,3942.0,Snips Python library to extract meaning from text.,22.0,24,False,,2020-01-15 10:13:17.000,0.20.2,58.0,,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,772.0,772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +543,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,897.0,172.0,386.0,34.0,430.0,3851.0,"Facilitating the design, comparison and sharing of deep text matching models.",39.0,24,False,,2019-10-24 13:09:11.000,2.2.0,5.0,,matchzoo,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +544,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2025-04-22 14:56:57.373000,2024-10-16 14:45:12,235.0,335.0,86.0,104.0,54.0,32.0,3620.0,Python library that makes it easy for data scientists to create charts.,27.0,24,True,,2024-10-16 14:48:03.000,5.0.1,27.0,,chartify,conda-forge/chartify,,,,92.0,83.0,https://pypi.org/project/chartify,2024-10-16 14:48:03.000,9.0,1162.0,1649.0,https://anaconda.org/conda-forge/chartify,2025-04-22 14:56:57.373,40435.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +545,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2025-07-17 17:52:29.000000,2025-07-17 17:52:29,481.0,287.0,49.0,478.0,72.0,261.0,3494.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,24,True,,2024-10-25 17:04:56.000,0.4.12,25.0,,hummingbird-ml,conda-forge/hummingbird-ml,,,,7.0,,https://pypi.org/project/hummingbird-ml,2024-10-25 17:04:56.000,7.0,7573.0,8751.0,https://anaconda.org/conda-forge/hummingbird-ml,2025-04-22 14:57:48.691,64022.0,,,,,3.0,930.0,,,,,,,,,,,,,,,,,, +546,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,528.0,166.0,50.0,67.0,49.0,3469.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,,2020-07-09 21:03:28.000,0.9.0,13.0,,adanet,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,299.0,299.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +547,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2025-09-13 06:29:18.000000,2025-09-13 06:29:18,518.0,820.0,59.0,646.0,129.0,415.0,3417.0,A high-performance distributed training framework for Reinforcement Learning.,46.0,24,True,1.0,2023-03-14 02:03:08.557,2.2.1,29.0,,parl,,,,['paddle'],138.0,137.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,766.0,766.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +548,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2025-05-30 04:14:43.000000,2025-05-30 03:23:16,750.0,238.0,52.0,38.0,75.0,126.0,3251.0,A GUI for Pandas DataFrames.,15.0,24,False,,2025-05-30 04:14:43.000,0.2.15,45.0,,pandasgui,conda-forge/pandasgui,,,['pandas'],543.0,529.0,https://pypi.org/project/pandasgui,2025-05-30 04:14:43.000,14.0,5640.0,6316.0,https://anaconda.org/conda-forge/pandasgui,2025-04-22 14:57:45.598,38569.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +549,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,528.0,106.0,73.0,193.0,119.0,3095.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,,2019-04-25 02:10:05.000,0.4.4,15.0,,xlearn,,,,,178.0,166.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,620.0,675.0,,,,,,,,3.0,5006.0,,,,,,,,,,,,,,,,,, +550,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,360.0,35.0,695.0,43.0,151.0,2958.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,False,,2022-07-02 17:57:17.000,0.2.3,5.0,,promptsource,,,,,130.0,126.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,326.0,326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +551,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2025-04-22 14:57:21.906000,2023-07-19 07:40:10,212.0,146.0,26.0,200.0,20.0,73.0,2798.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,,2022-05-31 09:00:35.000,0.1.33,113.0,,hiplot,conda-forge/hiplot,,,,552.0,526.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,37294.0,41100.0,https://anaconda.org/conda-forge/hiplot,2025-04-22 14:57:21.906,258875.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +552,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,326.0,89.0,2158.0,215.0,982.0,2749.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,False,,2023-02-03 19:04:11.785,0.8.1,118.0,,pymars,,,,,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,17267.0,17267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +553,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,263.0,25.0,1132.0,78.0,224.0,2685.0,Database system for AI-powered apps.,72.0,24,False,,2023-11-19 16:35:30.000,0.3.9,45.0,georgia-tech-db/evadb,evadb,,,,['pytorch'],,,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,313.0,11242.0,,,,,,,,3.0,426251.0,,,,,,,,,,,,,,,,,, +554,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,268.0,48.0,98.0,26.0,116.0,2384.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,False,,2023-06-22 13:11:59.629,0.12.1,20.0,mckinsey/causalnex,causalnex,,,,"['pytorch', 'sklearn']",168.0,164.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2069.0,2069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +555,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2025-04-22 14:57:32.844000,2024-07-17 19:00:21,2319.0,252.0,35.0,40.0,10.0,115.0,2254.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,24,False,,2022-12-04 19:04:05.000,_10304,107.0,,karateclub,conda-forge/karateclub,,,,340.0,327.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,7858.0,8426.0,https://anaconda.org/conda-forge/karateclub,2025-04-22 14:57:32.844,35794.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +556,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2025-04-10 09:30:35.000000,2025-04-10 09:30:30,2362.0,145.0,27.0,279.0,6.0,44.0,2254.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,24,True,,2024-09-15 02:15:00.000,0.5.3,147.0,,labml,,,,,253.0,239.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,4620.0,4620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +557,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,699.0,85.0,48.0,24.0,64.0,2230.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,,2021-04-03 08:51:49.000,1.3,19.0,,finta,,,,,666.0,654.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,28774.0,28774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +558,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2025-04-22 14:57:44.390000,2023-09-26 17:27:56,255.0,206.0,24.0,65.0,11.0,83.0,2040.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,,2021-05-24 16:45:59.000,0.0.11,10.0,,checklist,conda-forge/checklist,,,['jupyter'],387.0,379.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1075.0,1257.0,https://anaconda.org/conda-forge/checklist,2025-04-22 14:57:44.390,10395.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +559,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2025-06-13 04:33:41.000000,2025-06-13 04:33:36,899.0,455.0,58.0,373.0,117.0,93.0,1989.0,Library for training machine learning models with privacy for training data.,60.0,24,True,,2024-02-14 19:18:00.000,0.9.0,31.0,,tensorflow-privacy,,,,['tensorflow'],21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,18272.0,18274.0,,,,,,,,2.0,194.0,,,,,,,,,,,,,,,,,, +560,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2025-02-26 03:13:04.000000,2025-02-26 03:13:04,633.0,313.0,53.0,120.0,54.0,32.0,1743.0,Interpretability and explainability of data and machine learning models.,41.0,24,True,,2023-07-31 18:54:38.000,0.3.0,5.0,,aix360,,,,,169.0,168.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1754.0,1754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +561,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2025-04-23 13:04:26.000000,2025-04-23 13:04:26,461.0,239.0,45.0,51.0,24.0,92.0,1662.0,Contextually-keyed word vectors.,20.0,24,True,,2023-04-17 14:14:02.218,2.0.2,24.0,,sense2vec,conda-forge/sense2vec,,,,483.0,470.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,3356.0,5493.0,https://anaconda.org/conda-forge/sense2vec,2025-04-22 14:57:12.924,67429.0,,,,,3.0,73393.0,,,,,,,,,,,,,,,,,, +562,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,311.0,94.0,45.0,188.0,217.0,1654.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,,2018-02-22 01:13:03.000,2.9.10,78.0,,auto_ml,,,,,14.0,5.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,1576.0,1576.0,,,,,,,,2.0,77.0,,,,,,,,,,,,,,,,,, +563,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,269.0,25.0,187.0,13.0,390.0,1637.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,24,False,,2024-04-21 09:02:06.000,1.4,18.0,,talos,,,,['tensorflow'],216.0,208.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,914.0,914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +564,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2025-09-07 02:43:49.000000,2022-08-31 01:52:51,509.0,308.0,96.0,50.0,8.0,151.0,1574.0,Distributed Deep learning with Keras & Spark.,28.0,24,False,,2025-09-07 02:43:49.000,7.2.0,50.0,,elephas,conda-forge/elephas,,,"['keras', 'spark']",,,https://pypi.org/project/elephas,2025-09-07 02:43:49.000,,2656.0,2910.0,https://anaconda.org/conda-forge/elephas,2025-04-22 14:57:10.644,18833.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +565,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2025-10-09 19:41:20.000000,2025-10-09 19:41:20,1247.0,124.0,26.0,76.0,4.0,29.0,1559.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,9.0,24,True,4.0,2024-11-21 20:06:59.000,0.8.0,30.0,,pytorch_toolbelt,,,,['pytorch'],12.0,,https://pypi.org/project/pytorch_toolbelt,2024-11-21 20:06:59.000,12.0,8303.0,8305.0,,,,,,,,3.0,183.0,,,,,,,,,,,,,,,,,, +566,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,402.0,85.0,165.0,102.0,224.0,1378.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,False,,2019-10-10 10:59:33.000,0.6.0,11.0,,niftynet,,,,['tensorflow'],51.0,51.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +567,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,198.0,24.0,58.0,27.0,36.0,1358.0,A Toolbox for Adversarial Robustness Research.,21.0,24,False,,2020-06-15 01:20:07.000,0.2.3,10.0,,advertorch,,,,['pytorch'],217.0,212.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,2129.0,2129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +568,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,214.0,49.0,461.0,144.0,299.0,1236.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,,2023-02-08 02:53:00.720,0.9.1,41.0,,tf-encrypted,,,,['tensorflow'],77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,451.0,451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +569,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2025-04-22 14:56:39.232000,2024-01-04 20:41:21,582.0,317.0,90.0,124.0,68.0,99.0,1129.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,24,False,,2022-01-25 21:56:31.000,1.0.2,13.0,,astroML,conda-forge/astroml,,,['sklearn'],16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,7675.0,9306.0,https://anaconda.org/conda-forge/astroml,2025-04-22 14:56:39.232,73400.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +570,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2025-04-07 02:04:56.000000,2025-04-07 02:04:56,417.0,187.0,30.0,76.0,3.0,86.0,1053.0,Layers Outputs and Gradients in Keras. Made easy.,17.0,24,True,,2022-09-25 14:40:40.377,4.5.1,40.0,,keract,,,,['tensorflow'],266.0,259.0,https://pypi.org/project/keract,2025-04-07 02:03:50.000,7.0,8818.0,8818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +571,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2025-04-22 14:57:37.199000,2024-02-29 13:41:11,1144.0,244.0,61.0,249.0,5.0,368.0,1010.0,Search and download Copernicus Sentinel satellite images.,44.0,24,False,,2023-03-10 17:53:00.587,1.2.1,41.0,,sentinelsat,conda-forge/sentinelsat,,,,34.0,,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,34844.0,35540.0,https://anaconda.org/conda-forge/sentinelsat,2025-04-22 14:57:37.199,41637.0,,,,,3.0,335.0,,,,,,-2.0,,,,,,,,,,,, +572,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2025-01-29 22:28:23.000000,2025-01-29 22:28:21,569.0,191.0,42.0,61.0,1.0,68.0,1008.0,Training neural models with structured signals.,39.0,24,True,,2022-07-29 21:05:16.715,1.4.0,8.0,,neural-structured-learning,,,,['tensorflow'],521.0,518.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,3220.0,3220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +573,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2025-10-27 19:11:49.313000,2023-03-29 07:39:45,85.0,107.0,23.0,55.0,41.0,28.0,972.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,24,False,,2020-02-13 09:57:47.000,1.0.6,14.0,,youtokentome,conda-forge/youtokentome,,,,852.0,824.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,28.0,166067.0,168349.0,https://anaconda.org/conda-forge/youtokentome,2025-10-27 19:11:49.313,111866.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +574,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2025-09-22 17:46:00.947000,2025-08-12 12:52:56,614.0,154.0,12.0,77.0,32.0,157.0,897.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,40.0,24,True,1.0,2023-10-12 06:54:28.000,1.6.3,43.0,,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,33593.0,40297.0,https://anaconda.org/conda-forge/pytorch_cluster,2025-09-22 17:46:00.947,435816.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +575,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2025-04-22 14:56:22.353000,2024-06-12 05:36:27,401.0,155.0,16.0,74.0,35.0,110.0,772.0,Ternary plotting library for python with matplotlib.,28.0,24,False,,2021-02-17 18:38:15.000,1.0.8,11.0,,python-ternary,conda-forge/python-ternary,,,,267.0,235.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,33954.0,36775.0,https://anaconda.org/conda-forge/python-ternary,2025-04-22 14:56:22.353,158010.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,, +576,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2025-03-06 03:34:31.000000,2024-12-06 11:28:50,368.0,98.0,18.0,149.0,36.0,94.0,675.0,pyspark methods to enhance developer productivity.,31.0,24,True,,2025-02-26 10:00:00.000,0.10.3,16.0,mrpowers-io/quinn,quinn,,,,['spark'],101.0,94.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,754404.0,754404.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,, +577,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2025-10-25 00:11:27.000000,2025-10-25 00:11:27,2690.0,51.0,9.0,96.0,35.0,86.0,529.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,15.0,24,True,38.0,2025-09-21 06:34:51.000,5.0.2,84.0,,hyperactive,,,,,53.0,40.0,https://pypi.org/project/hyperactive,2025-09-20 05:26:04.000,13.0,3981.0,3985.0,,,,,,,,2.0,339.0,,,,,,,,,,,,,,,,,, +578,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2025-09-02 09:43:30.000000,2025-09-01 13:56:27,5713.0,100.0,16.0,813.0,9.0,446.0,489.0,Lightwood is Legos for Machine Learning.,50.0,24,False,3.0,2025-09-02 09:28:48.000,25.9.1.0,215.0,,lightwood,,,,['pytorch'],115.0,113.0,https://pypi.org/project/lightwood,2025-09-02 09:43:30.000,2.0,31702.0,31702.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +579,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2025-04-22 14:56:38.480000,2024-12-24 16:12:08,6798.0,145.0,31.0,416.0,37.0,141.0,403.0,Neuroimaging in Python FMRI analysis package.,70.0,24,False,,2024-10-06 19:42:32.000,0.6.1,9.0,,nipy,conda-forge/nipy,,,,272.0,248.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,107490.0,122049.0,https://anaconda.org/conda-forge/nipy,2025-04-22 14:56:38.480,218390.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +580,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2025-09-11 11:20:36.000000,2025-09-11 11:20:36,562.0,41.0,4.0,22.0,5.0,67.0,376.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,18.0,24,True,2.0,2025-03-29 10:07:06.000,0.11.4,32.0,,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],1267.0,1194.0,https://pypi.org/project/scikit-posthocs,2025-03-29 10:07:06.000,73.0,122594.0,140611.0,https://anaconda.org/conda-forge/scikit-posthocs,2025-04-22 14:57:37.742,1081077.0,,,,,3.0,67.0,,,,,,,,,,,,,,,,,, +581,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2025-08-11 21:36:51.000000,2025-06-18 06:54:13,613.0,63.0,37.0,376.0,32.0,69.0,334.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",48.0,24,True,,2025-06-18 06:54:48.000,1.10.2,91.0,,gokart,,,,,93.0,85.0,https://pypi.org/project/gokart,2025-06-18 06:54:48.000,8.0,6681.0,6681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +582,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2025-08-29 13:40:09.000000,2023-11-17 21:43:05,4051.0,50.0,14.0,716.0,225.0,203.0,300.0,Asynchronous Distributed Hyperparameter Optimization.,34.0,24,False,,2023-03-02 22:26:01.035,0.2.7,26.0,,orion,,,,,130.0,122.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,2271.0,2271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +583,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,1434.0,262.0,71.0,133.0,137.0,6666.0,Audio fingerprinting and recognition in Python.,23.0,23,False,,2015-04-19 21:20:16.000,0.1.3,4.0,,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +584,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-11-19 08:19:11.000000,2024-11-19 08:19:11,13850.0,1566.0,133.0,3626.0,52.0,2044.0,6000.0,An Industrial Grade Federated Learning Framework.,102.0,23,True,,2024-07-31 11:47:02.000,2.2.0,51.0,,ETAF,,,,,1.0,1.0,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +585,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2025-09-23 07:08:41.024000,,,1081.0,,,107.0,,5546.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,40.0,23,True,,,,22.0,,pandas-ta,conda-forge/pandas-ta,,,['pandas'],192.0,,https://pypi.org/project/pandas-ta,2025-09-14 19:08:34.000,192.0,289469.0,290278.0,https://anaconda.org/conda-forge/pandas-ta,2025-09-23 07:08:41.024,38842.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +586,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-10-29 07:56:20.000000,2025-10-29 07:56:07,1723.0,850.0,137.0,1673.0,409.0,411.0,5173.0,Simple and Distributed Machine Learning.,126.0,23,True,28.0,2025-09-16 06:45:36.000,1.0.14,69.0,,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +587,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2025-10-29 09:08:13.000000,2025-03-26 13:39:31,2997.0,1276.0,125.0,1232.0,51.0,91.0,3569.0,a distributed deep learning platform.,98.0,23,True,,2020-04-21 08:01:08.000,3.0.0,16.0,,,nusdbsystem/singa,apache/singa,,,6.0,6.0,,,,,89.0,https://anaconda.org/nusdbsystem/singa,2025-03-25 16:26:36.714,1171.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,3.0,9858.0,3.0,,,,,,,,,,,,,,,,,,, +588,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-18 00:01:12.000000,2024-10-18 00:01:11,1586.0,261.0,28.0,2020.0,3.0,670.0,3428.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,38.0,23,True,,2023-12-05 02:33:36.000,1.1.3,26.0,,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,1333.0,1392.0,,,,,,,,3.0,2747.0,,,,,,,,,,,,,,,,,, +589,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,179.0,18.0,81.0,112.0,180.0,2979.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,23,False,,2023-03-05 05:44:00.314,1.0.2,7.0,,ffcv,,,,,75.0,74.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,727.0,727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +590,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,432.0,61.0,123.0,32.0,350.0,2387.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,,2021-07-04 10:44:36.000,2.0.2,24.0,,kashgari-tf,,,,['tensorflow'],75.0,73.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +591,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2025-10-05 19:18:07.000000,2025-10-05 19:18:07,1303.0,165.0,28.0,201.0,75.0,158.0,2367.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",35.0,23,True,1.0,2024-01-20 15:39:17.000,0.9.0,14.0,,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,1801.0,1812.0,,,,,,,,3.0,695.0,,,,,,,,,,,,,,,,,, +592,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2025-04-22 14:56:57.136000,2024-02-06 10:59:47,125.0,228.0,39.0,36.0,45.0,24.0,1913.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,False,,2017-11-08 13:32:20.000,0.0.1,3.0,,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],529.0,507.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2165.0,3720.0,https://anaconda.org/conda-forge/multicore-tsne,2025-04-22 14:56:57.136,83975.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +593,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2025-04-22 14:57:51.423000,2022-08-31 09:45:24,594.0,250.0,50.0,446.0,7.0,402.0,1752.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,,2023-03-07 23:47:39.075,0.7.1,25.0,,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,2403.0,2502.0,https://anaconda.org/conda-forge/farm,2025-04-22 14:57:51.423,5379.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +594,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,125.0,25.0,31.0,63.0,50.0,1625.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,23,False,,2020-07-14 12:20:32.000,0.2.1,2.0,,higher,,,,['pytorch'],717.0,710.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,20653.0,20653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +595,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,255.0,46.0,312.0,98.0,18.0,1620.0,Mesh TensorFlow: Model Parallelism Made Easier.,51.0,23,False,,2022-05-15 21:06:13.000,0.1.21,27.0,,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,92527.0,92527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +596,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2025-04-22 14:57:19.815000,2023-03-23 14:35:34,422.0,278.0,65.0,730.0,51.0,64.0,1610.0,An end-to-end PyTorch framework for image and video classification.,77.0,23,False,,2023-03-21 05:24:19.000,0.7.0,18.0,,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,10858.0,11376.0,https://anaconda.org/conda-forge/classy_vision,2025-04-22 14:57:19.815,35771.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +597,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2025-10-27 21:41:45.000000,2025-04-19 05:05:49,592.0,157.0,18.0,369.0,10.0,166.0,1587.0,A standard framework for modelling Deep Learning Models for tabular data.,27.0,23,True,,2024-11-29 01:07:50.000,1.1.1,13.0,,pytorch_tabular,,,,['pytorch'],9.0,,https://pypi.org/project/pytorch_tabular,2024-11-28 05:14:21.000,9.0,5507.0,5508.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,, +598,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2025-07-13 17:35:31.000000,2025-07-13 17:30:34,791.0,210.0,13.0,275.0,93.0,95.0,1460.0,Generate Diverse Counterfactual Explanations for any machine learning model.,23.0,23,True,,2025-07-13 17:34:53.000,0.12,13.0,,dice-ml,,,,"['tensorflow', 'pytorch']",13.0,,https://pypi.org/project/dice-ml,2025-07-13 17:35:31.000,13.0,47926.0,47926.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +599,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,165.0,32.0,29.0,42.0,34.0,1305.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,23,False,,2019-12-18 13:39:19.000,0.7.4,20.0,,sklearn-porter,,,,['sklearn'],73.0,73.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,824.0,824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +600,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,152.0,83.0,122.0,33.0,47.0,1249.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,23,False,,2023-07-16 15:34:00.704,0.4.0,6.0,,pfrl,,,,,127.0,126.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,1489.0,1489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +601,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2025-08-20 15:00:13.000000,2024-02-01 21:38:56,330.0,178.0,30.0,114.0,91.0,56.0,979.0,Source code/webpage/demos for the What-If Tool.,20.0,23,False,,2021-10-12 17:42:50.869,1.8.1,40.0,,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,10558.0,49971.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2025-04-22 14:57:28.709,2502330.0,,,,,3.0,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,315.0,,,,,,,,,,,,, +602,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2025-04-29 19:09:51.000000,2025-04-29 19:09:48,5779.0,90.0,12.0,78.0,223.0,218.0,888.0,"Experiment tracking, ML developer tools.",30.0,23,True,,2023-02-25 17:16:57.621,0.9.0,186.0,,guildai,,,,,106.0,106.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1654.0,1654.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,, +603,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2025-10-21 18:28:58.000000,2025-10-21 18:28:55,1516.0,79.0,28.0,714.0,76.0,118.0,716.0,Scikit-learn style model finetuning for NLP.,24.0,23,True,3.0,2023-09-29 10:19:51.000,0.10.0,39.0,,finetune,,,,"['tensorflow', 'sklearn']",18.0,16.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,2679.0,2679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +604,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2025-09-28 12:39:55.000000,2025-09-28 12:21:00,194.0,82.0,21.0,14.0,,39.0,699.0,Python package for stacking (machine learning technique).,1.0,23,True,5.0,2025-09-28 12:39:55.000,0.5.1,8.0,,vecstack,conda-forge/vecstack,,,,578.0,573.0,https://pypi.org/project/vecstack,2025-09-28 12:39:55.000,5.0,1794.0,1850.0,https://anaconda.org/conda-forge/vecstack,2025-04-22 14:57:52.809,2984.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +605,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2025-10-14 13:24:35.000000,2025-10-14 13:24:35,937.0,89.0,8.0,807.0,64.0,506.0,697.0,Automated modeling and machine learning framework FEDOT.,40.0,23,True,4.0,2025-03-10 12:44:37.000,0.7.5,24.0,aimclub/FEDOT,fedot,,,,,72.0,65.0,https://pypi.org/project/fedot,2025-03-10 12:22:57.000,7.0,1789.0,1789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +606,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2025-10-08 01:56:58.439000,2024-07-23 14:46:53,413.0,144.0,19.0,50.0,2.0,87.0,610.0,Medical image processing in Python.,20.0,23,False,,2024-07-23 14:23:57.000,0.5.2,11.0,,MedPy,conda-forge/medpy,,,,2970.0,2911.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,59.0,35607.0,38205.0,https://anaconda.org/conda-forge/medpy,2025-10-08 01:56:58.439,135142.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +607,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2025-09-17 18:29:10.000000,2025-03-22 19:05:46,1220.0,69.0,5.0,219.0,21.0,109.0,540.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,,2023-08-07 03:02:27.000,3.0.0,40.0,,happytransformer,,,,['huggingface'],339.0,334.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2722.0,2722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +608,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,1980.0,164.0,66.0,46.0,13.0,13549.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,22,False,,2020-04-18 19:06:59.000,0.1.0,1.0,,micrograd,,,,['pytorch'],107.0,104.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,3741.0,3741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +609,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2025-06-25 13:00:28.000,2025-06-26 14:09:37.000000,2024-08-07 03:17:23,2667.0,2112.0,,,12.0,1.0,12935.0,"400+ AI Models: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal. Easy to Use: 3 lines..",70.0,22,False,,2025-06-27 12:42:17.000,0.5.0,50.0,,paddlehub,,,,['paddle'],7.0,,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,4739.0,4739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +610,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,606.0,141.0,1363.0,131.0,987.0,8033.0,Production infrastructure for machine learning at scale.,25.0,22,False,,2022-09-23 18:01:31.000,0.42.1,63.0,,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,797.0,797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +611,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,782.0,219.0,25.0,8.0,122.0,5386.0,Build Graph Nets in Tensorflow.,11.0,22,False,,2020-01-29 16:00:25.000,1.1.0,7.0,google-deepmind/graph_nets,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,4538.0,4538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +612,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,1254.0,305.0,210.0,66.0,224.0,5376.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,,,shadowreaver/crypto-signal,,,,,,,,,1490.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,144579.0,3.0,,,,,,,,,,,,,,,,,,, +613,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,320.0,73.0,37.0,95.0,77.0,4342.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,,2022-03-13 19:09:50.000,0.11.1,67.0,,deep-daze,,,,,56.0,56.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +614,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2025-04-22 15:32:21.452000,2019-05-22 18:27:54,1118.0,811.0,318.0,89.0,91.0,306.0,3873.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,,2018-01-05 23:25:04.000,2.6.0,32.0,,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,5.0,32.0,https://anaconda.org/anaconda/neon,2025-04-22 15:32:21.452,2713.0,,,,,3.0,423.0,,,,,,,,,,,,,,,,,, +615,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2025-10-17 23:15:09.000000,2025-10-17 23:12:26,1615.0,518.0,143.0,613.0,86.0,76.0,3668.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",174.0,22,True,3.0,2020-01-27 22:06:00.000,0.0.0,2.0,,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +616,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2025-09-27 00:53:53.000000,2025-09-27 00:53:50,123.0,363.0,96.0,16.0,53.0,17.0,3459.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,22,True,3.0,2020-03-04 07:26:22.000,0.9.1,14.0,,tensorwatch,,,,,172.0,165.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,1401.0,1401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +617,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,676.0,71.0,53.0,179.0,101.0,3405.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,,2021-10-18 02:38:39.000,0.8.1,18.0,,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1177.0,1185.0,,,,,,,,3.0,679.0,,,,,,,,,,,,,,,,,, +618,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,329.0,51.0,414.0,82.0,106.0,3292.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,False,,2021-11-02 17:21:02.000,0.1.6,6.0,,vissl,,,,['pytorch'],62.0,61.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +619,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,386.0,198.0,9.0,4.0,16.0,3135.0,TensorFlow Reinforcement Learning.,13.0,22,False,,2021-08-16 12:19:16.000,1.2.0,5.0,google-deepmind/trfl,trfl,,,,['tensorflow'],181.0,179.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,2568.0,2568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +620,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2025-10-28 20:41:35.000000,2021-05-06 12:10:38,127.0,164.0,42.0,81.0,2.0,31.0,3133.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,,2021-05-04 18:48:03.000,0.0.12,11.0,,opyrator,conda-forge/opyrator,,,,60.0,60.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,146.0,215.0,https://anaconda.org/conda-forge/opyrator,2025-04-22 14:58:08.330,3132.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +621,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel/analytics-zoo,https://github.com/intel/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2025-10-09 02:07:24.000000,2025-10-09 02:07:21,3468.0,727.0,6.0,39.0,406.0,855.0,2607.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,22,True,4.0,2024-03-05 10:02:36.000,0.1.0,418.0,intel/analytics-zoo,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,599.0,599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +622,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2025-05-06 09:45:18.000000,2025-05-06 09:45:18,560.0,249.0,39.0,142.0,71.0,127.0,2589.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,32.0,22,True,,2023-12-27 00:46:01.000,2023.12.27,773.0,,kubric-nightly,,,,,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,6596.0,6596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +623,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,413.0,128.0,136.0,60.0,128.0,2409.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,,2018-11-09 21:35:17.000,0.2.3,10.0,,luminoth,,,,['tensorflow'],71.0,69.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,250.0,384.0,,,,,,,,3.0,12917.0,,,,,,,,,,,,,,,,,, +624,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,371.0,74.0,146.0,40.0,126.0,2391.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",44.0,22,False,,2019-11-19 04:11:18.000,0.2.4,6.0,,texar,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +625,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,307.0,62.0,78.0,69.0,70.0,2107.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,False,,2021-05-18 16:13:10.000,2.6.0,32.0,,sru,,,,['pytorch'],3.0,,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,3327.0,3327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +626,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,257.0,42.0,15.0,57.0,36.0,1851.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,,2018-12-03 04:33:29.000,0.2,3.0,,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",389.0,378.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,6468.0,6468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +627,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2025-02-20 22:01:53.000000,2025-02-20 22:01:53,29.0,106.0,39.0,34.0,13.0,100.0,1849.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,,2025-02-20 21:54:29.000,1.1.0,12.0,,greykite,,,,,47.0,47.0,https://pypi.org/project/greykite,2025-02-20 21:54:29.000,,11156.0,11156.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,, +628,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,201.0,34.0,7.0,15.0,33.0,1678.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,,2020-10-23 22:45:52.000,0.3,6.0,,antialiased-cnns,,,,['pytorch'],87.0,81.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,21060.0,21060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +629,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,298.0,40.0,801.0,77.0,485.0,1670.0,jiant is an nlp toolkit.,61.0,22,False,,2021-05-10 18:56:39.000,2.2.0,19.0,,jiant,,,,,7.0,7.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +630,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,210.0,33.0,88.0,17.0,33.0,1642.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,,2023-09-04 06:57:56.000,0.7.0,15.0,,FinQuant,,,,,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,999.0,999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +631,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,221.0,54.0,55.0,87.0,149.0,1615.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,False,,2020-03-13 12:36:30.000,0.3.12,9.0,,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1098.0,1126.0,,,,,,,,3.0,3024.0,,,,,,,,,,,,,,,,,, +632,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2025-04-23 21:07:57.000000,2025-04-23 21:07:55,161.0,169.0,100.0,192.0,39.0,25.0,1530.0,fklearn: Functional Machine Learning.,56.0,22,True,,2025-02-26 19:40:35.000,4.0.1,35.0,,fklearn,,,,,16.0,16.0,https://pypi.org/project/fklearn,2025-02-26 19:40:35.000,,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +633,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2025-10-15 02:35:23.000000,2025-10-15 02:32:23,239.0,122.0,33.0,36.0,28.0,122.0,1330.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,19.0,22,True,2.0,2025-10-15 02:36:25.000,2.5.0,100.0,,ngt,,,,,12.0,,https://pypi.org/project/ngt,2025-02-26 23:24:32.000,12.0,1773.0,1773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +634,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2025-08-22 23:19:05.000000,2023-05-09 00:52:44,72.0,219.0,61.0,30.0,36.0,14.0,1224.0,Anomaly Detection and Correlation library.,9.0,22,False,,2016-01-20 01:01:44.000,0.3.1,5.0,,luminol,,,,,89.0,87.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,3638.0,3638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +635,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2025-04-22 14:57:22.632000,2020-04-17 02:27:44,79.0,149.0,22.0,78.0,51.0,37.0,1182.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,22,False,,2020-04-17 02:18:00.000,0.6.2,13.0,,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,285043.0,285208.0,https://anaconda.org/conda-forge/adtk,2025-04-22 14:57:22.632,11065.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +636,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2025-05-12 16:17:05.000000,2025-05-12 16:17:04,479.0,212.0,52.0,96.0,61.0,219.0,1166.0,Line based ATR Engine based on OCRopy.,23.0,22,False,,2024-11-12 23:23:07.000,2.3.1,45.0,,calamari_ocr,,,,,8.0,,https://pypi.org/project/calamari_ocr,2024-11-12 23:23:07.000,8.0,3009.0,3009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +637,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2025-05-16 05:33:24.000000,2025-05-16 05:33:23,308.0,96.0,18.0,74.0,20.0,45.0,1091.0,Audio processing by using pytorch 1D convolution network.,16.0,22,True,,2024-02-13 05:58:29.000,0.3.3,40.0,,nnAudio,,,,,418.0,414.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,59282.0,59282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +638,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,206.0,25.0,61.0,52.0,62.0,1087.0,fastFM: A Library for Factorization Machines.,20.0,22,False,,2017-11-23 06:59:56.000,0.2.11,10.0,,fastfm,,,,,131.0,128.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,1167.0,1173.0,,,,,,,,3.0,859.0,,,,,,,,,,,,,,,,,, +639,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,110.0,46.0,99.0,47.0,51.0,1035.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,,2021-11-18 20:57:29.000,0.3.1,8.0,,tf-explain,,,,['tensorflow'],305.0,294.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,4100.0,4100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +640,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,191.0,22.0,58.0,12.0,27.0,985.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,False,,2024-03-20 19:51:28.000,0.2.1,12.0,,saliency,,,,['tensorflow'],153.0,145.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,16075.0,16075.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +641,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2025-10-07 22:03:28.000000,2025-10-07 22:03:28,242.0,87.0,14.0,162.0,21.0,95.0,909.0,Bayesian active learning library for research and industrial usecases.,24.0,22,True,1.0,2025-06-24 16:30:32.000,2.1.0,22.0,,baal,conda-forge/baal,,,,69.0,67.0,https://pypi.org/project/baal,2025-06-24 16:30:32.000,2.0,1820.0,2074.0,https://anaconda.org/conda-forge/baal,2025-04-22 14:57:44.821,14507.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +642,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,114.0,24.0,36.0,35.0,69.0,887.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,22,False,,2021-04-11 17:43:13.000,0.5.5,16.0,,pandas-bokeh,,,,['pandas'],766.0,754.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,7554.0,7554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +643,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,166.0,36.0,46.0,43.0,49.0,867.0,Public facing deeplift repo.,11.0,22,False,,2018-07-13 21:11:52.000,0.6.6,21.0,,deeplift,,,,,124.0,115.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,1504.0,1504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +644,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2024-11-26 19:03:40.000000,2024-10-31 11:39:03,1235.0,133.0,21.0,594.0,63.0,511.0,867.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,,2022-02-10 15:55:46.374,0.12.0,41.0,,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,2331.0,2331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +645,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,108.0,27.0,60.0,27.0,74.0,860.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,,2018-10-30 22:34:35.000,0.2.3,14.0,,mlens,,,,,525.0,524.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2066.0,2066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +646,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,149.0,35.0,33.0,26.0,39.0,769.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,22,False,,2016-09-27 13:04:44.000,1.0.0,8.0,,NearPy,,,,,120.0,120.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,2121.0,2121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +647,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2025-10-27 23:10:55.000000,2025-08-14 18:17:47,1026.0,242.0,21.0,908.0,150.0,409.0,764.0,MONAI Label is an intelligent open source image labeling and learning tool.,69.0,22,True,4.0,2024-10-17 22:32:00.000,0.8.4,114.0,,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,195.0,2831.0,,,,,,,,3.0,134467.0,,,,,,,,,,,,,,,,,, +648,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2025-04-22 14:56:37.375000,2019-07-22 06:22:45,1380.0,147.0,24.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,17.0,22,False,,2019-07-21 08:49:48.715,0.9.0,96.0,,gmaps,conda-forge/gmaps,,,['jupyter'],18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,4227.0,10444.0,https://anaconda.org/conda-forge/gmaps,2025-04-22 14:56:37.375,591499.0,,,,,3.0,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,361.0,,,,,,,,,,,,, +649,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2025-04-22 14:57:37.117000,2021-02-28 18:33:06,37.0,140.0,23.0,19.0,26.0,5.0,760.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,,2021-01-10 20:12:39.000,0.2.3,5.0,,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],724.0,716.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,101066.0,101237.0,https://anaconda.org/conda-forge/treeinterpreter,2025-04-22 14:57:37.117,10303.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +650,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2025-04-22 14:56:30.745000,2024-08-01 17:33:11,360.0,118.0,15.0,84.0,22.0,38.0,739.0,Working with molecular structures in pandas DataFrames.,18.0,22,False,,2024-08-01 17:35:04.000,0.5.1,21.0,BioPandas/biopandas,biopandas,conda-forge/biopandas,,,['pandas'],432.0,394.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,27961.0,31446.0,https://anaconda.org/conda-forge/biopandas,2025-04-22 14:56:30.745,216112.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +651,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2025-02-06 21:36:12.000000,2025-02-06 21:36:09,223.0,137.0,137.0,92.0,42.0,67.0,678.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,23.0,22,True,,2019-06-03 21:24:10.000,0.10.2,20.0,,mapboxgl,,,,['jupyter'],12.0,,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,10410.0,10410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +652,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,101.0,24.0,33.0,35.0,6.0,647.0,machine learning with logical rules in Python.,19.0,22,False,,2020-12-11 09:37:02.000,1.0.1,4.0,,skope-rules,,,,['sklearn'],443.0,435.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,81509.0,81509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +653,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,64.0,23.0,433.0,10.0,237.0,641.0,torchbearer: A model fitting library for PyTorch.,14.0,22,False,,2023-12-01 18:48:07.000,0.5.5,26.0,,torchbearer,,,,['pytorch'],103.0,99.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,1237.0,1237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +654,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2025-07-21 15:29:26.000000,2025-07-21 13:20:02,1835.0,79.0,8.0,223.0,54.0,85.0,627.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,23.0,22,False,,2025-07-21 15:29:26.000,0.6.0,28.0,,quantus,,,,,73.0,69.0,https://pypi.org/project/quantus,2025-07-21 15:29:26.000,4.0,1386.0,1393.0,,,,,,,,3.0,323.0,,,,,,,,,,,,,,,,,, +655,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2025-04-22 14:57:41.674000,2022-04-22 06:33:31,188.0,109.0,23.0,23.0,66.0,35.0,625.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,,2019-07-30 12:47:43.000,1.0,8.0,,hpbandster,conda-forge/hpbandster,,,,756.0,731.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,17194.0,17576.0,https://anaconda.org/conda-forge/hpbandster,2025-04-22 14:57:41.674,22194.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +656,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,69.0,38.0,17.0,14.0,22.0,580.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,22,False,,2020-10-16 03:43:47.000,0.1.7,9.0,,n2,,,,,44.0,40.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,1523.0,1523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +657,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,,2013-08-02 14:31:46.000,2025-06-12 18:18:57.000000,2024-12-27 14:53:55,3774.0,68.0,43.0,362.0,20.0,399.0,561.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,22,False,,2024-12-27 16:29:32.000,5.1.0,72.0,,skll,conda-forge/skll,,,['sklearn'],52.0,50.0,https://pypi.org/project/skll,2024-12-27 16:29:32.000,2.0,1373.0,1899.0,https://anaconda.org/conda-forge/skll,2025-04-22 14:58:06.094,24758.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,, +658,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2025-06-09 17:55:21.000000,2025-06-09 17:55:21,182.0,49.0,6.0,11.0,13.0,21.0,519.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,22,True,,2023-11-17 16:33:58.000,0.6.1,14.0,,apricot-select,,,,,220.0,204.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,16.0,13130.0,13130.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,, +659,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2025-09-04 13:10:10.000000,2025-09-04 13:07:11,570.0,36.0,12.0,235.0,16.0,41.0,507.0,Monitor the stability of a Pandas or Spark dataframe.,19.0,22,True,21.0,2025-09-04 13:10:10.000,1.4.11,41.0,,popmon,,,,"['pandas', 'spark']",26.0,22.0,https://pypi.org/project/popmon,2025-09-04 13:10:10.000,4.0,3357.0,3361.0,,,,,,,,3.0,279.0,,,,,,,,,,,,,,,,,, +660,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2025-10-04 13:28:21.601000,2025-01-01 01:30:41,688.0,65.0,26.0,510.0,15.0,91.0,386.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,22,True,,2024-09-25 14:29:32.000,4.1.0,41.0,,vega,conda-forge/vega,,,['jupyter'],21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,25645.0,40054.0,https://anaconda.org/conda-forge/vega,2025-10-04 13:28:21.601,936632.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +661,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2025-04-22 14:57:20.104000,2022-04-14 09:41:50,86.0,33.0,10.0,9.0,5.0,12.0,249.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,,2021-11-22 14:30:25.000,0.2.7,14.0,,py3nvml,conda-forge/py3nvml,,,,1635.0,1578.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,114553.0,116546.0,https://anaconda.org/conda-forge/py3nvml,2025-04-22 14:57:20.104,119629.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +662,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2025-10-30 13:20:19.000000,2025-10-27 20:14:36,92.0,28.0,4.0,21.0,5.0,10.0,156.0,Get list of common stop words in various languages in Python.,10.0,22,False,2.0,2018-07-23 20:58:34.000,2018.7.23,8.0,,stop-words,,,,,2600.0,2556.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,173576.0,173576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +663,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,628.0,90.0,152.0,100.0,102.0,8367.0,A collection of libraries to optimise AI model performances.,41.0,21,False,,2023-06-18 11:03:00.511,0.10.0,26.0,nebuly-ai/optimate,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,470.0,470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +664,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2025-10-27 21:50:17.000000,2025-10-27 21:47:10,196.0,1219.0,89.0,57.0,423.0,293.0,7155.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,35.0,21,True,2.0,,,1.0,,pyslowfast,,,,['pytorch'],23.0,23.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +665,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,826.0,223.0,111.0,63.0,621.0,5031.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,False,,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,,17.0,,,,,,,,3.0,1547.0,,,,,,,,,,,,,,,,,, +666,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2025-03-21 14:29:57.000000,2025-03-21 14:29:54,960.0,629.0,174.0,48.0,37.0,28.0,5017.0,High-performance TensorFlow library for quantitative finance.,48.0,21,True,,,,30.0,,tf-quant-finance,,,,['tensorflow'],3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,407.0,407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +667,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-12-18 16:08:09.000000,2024-12-18 16:08:09,151.0,756.0,100.0,35.0,107.0,113.0,4793.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,11.0,21,True,,2020-01-08 15:37:35.000,2.2.0,11.0,,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,3902.0,3905.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,290.0,3.0,,,,,,,,,,,,,,,,,,, +668,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,490.0,81.0,180.0,113.0,161.0,3708.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,,2020-08-27 15:42:13.000,0.2.4,8.0,,byteps,,bytepsimage/tensorflow,,,4.0,4.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,89.0,107.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1389.0,3.0,,,,,,,,,,,,,,,,,,, +669,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2025-03-10 17:58:00.000000,2025-03-10 17:52:42,755.0,510.0,211.0,24.0,31.0,4.0,3667.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,19.0,21,True,,2025-03-10 17:58:01.000,0.11.19,20.0,,finmarketpy,,,,,16.0,16.0,https://pypi.org/project/finmarketpy,2025-03-10 17:57:07.000,,345.0,345.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,, +670,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,449.0,85.0,78.0,67.0,137.0,3414.0,Generate embeddings from large-scale graph-structured data.,32.0,21,False,,2019-10-14 16:45:11.000,1.0.0,4.0,,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,5198.0,5201.0,,,,,,,,3.0,236.0,,,,,,,,,,,,,,,,,, +671,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,454.0,157.0,120.0,22.0,112.0,2938.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,21,False,,2020-11-17 12:32:37.000,0.5.5.1,13.0,,nlp-architect,,,,,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +672,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,332.0,69.0,2.0,19.0,7.0,2909.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,,2019-03-06 16:44:42.000,0.0.5,4.0,,adabound,,,,['pytorch'],234.0,231.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1703.0,1703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +673,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,238.0,41.0,110.0,80.0,64.0,2908.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,21,False,,2021-07-01 17:11:02.000,1.1.0,10.0,,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,1057.0,1060.0,,,,,,,,3.0,231.0,,,,,,,,,,,,,,,,,, +674,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,236.0,59.0,33.0,69.0,96.0,2359.0,Fast and Easy Infinite Neural Networks in Python.,30.0,21,False,,2023-12-11 14:10:12.000,0.6.5,31.0,,neural-tangents,,,,,1.0,,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,4992.0,5000.0,,,,,,,,3.0,573.0,,,,,,,,,,,,,,,,,, +675,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,372.0,82.0,4.0,5.0,18.0,2248.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,4.0,21,False,,2018-01-09 08:00:24.000,0.3.0,5.0,,pdftabextract,,,,,52.0,52.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,500.0,500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +676,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,250.0,50.0,35.0,16.0,105.0,2183.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,,2021-11-06 23:09:00.000,1.4.4,139.0,,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,18403.0,18403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +677,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,255.0,40.0,34.0,51.0,90.0,2047.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,21,False,,2021-09-20 16:06:33.000,1.8.0,28.0,,torchmeta,,,,['pytorch'],,,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,19077.0,19077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +678,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2025-06-05 05:20:57.000000,2025-06-05 05:20:56,937.0,141.0,30.0,452.0,56.0,354.0,2010.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,21.0,21,True,,2024-04-01 00:44:51.000,1.1.4.9,36.0,,orbit-ml,,,,,1.0,,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,24325.0,24325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +679,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,175.0,17.0,74.0,28.0,45.0,1961.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,21,False,,2023-09-06 15:46:59.000,0.1.2,12.0,,pythae,,,,['pytorch'],41.0,41.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,2007.0,2007.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +680,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,202.0,28.0,424.0,11.0,163.0,1688.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,,2022-01-20 18:07:32.000,0.5.5,12.0,,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +681,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2025-08-24 13:55:25.000000,2025-08-24 13:55:21,440.0,251.0,68.0,7.0,16.0,29.0,1624.0,Python AutoML for Trading Systems and Sports Betting.,5.0,21,True,1.0,2020-08-29 18:48:20.000,2.5.0,25.0,,alphapy,,,,,10.0,10.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +682,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-11-23 22:25:52.000000,2024-11-23 22:09:12,359.0,289.0,41.0,261.0,77.0,198.0,1623.0,A framework for Privacy Preserving Machine Learning.,40.0,21,True,,2022-12-08 22:11:59.883,0.4.1,3.0,,crypten,,,,['pytorch'],1.0,,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,595.0,595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +683,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,270.0,63.0,51.0,23.0,75.0,1521.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,,2020-08-25 09:32:37.000,0.8.5,21.0,,mlbox,,,,,38.0,38.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +684,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,367.0,56.0,47.0,46.0,71.0,1486.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,,2018-07-17 01:59:21.000,1.0.8,14.0,,anago,,,,['tensorflow'],42.0,36.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +685,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2025-04-22 14:58:03.890000,2022-08-31 13:13:15,103.0,102.0,35.0,17.0,12.0,27.0,1451.0,A Graph Neural Network Library in Jax.,17.0,21,False,,2022-08-12 15:24:20.000,0.0.6.de0,5.0,google-deepmind/jraph,jraph,conda-forge/jraph,,,['jax'],22.0,,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,115974.0,116222.0,https://anaconda.org/conda-forge/jraph,2025-04-22 14:58:03.890,11914.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +686,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,221.0,61.0,48.0,40.0,90.0,1294.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,,2019-04-02 00:53:47.000,0.26.2,30.0,,tensorrec,,,,['tensorflow'],38.0,38.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +687,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-10-24 08:18:17.000000,2024-10-24 08:17:36,836.0,322.0,46.0,799.0,12.0,300.0,1217.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,21,True,,2023-03-03 07:51:00.411,3.1.34,85.0,,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,575.0,575.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,, +688,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,181.0,39.0,5.0,4.0,7.0,1203.0,XAI - An eXplainability toolbox for machine learning.,3.0,21,False,,2021-10-30 06:35:19.000,0.1.0,6.0,,xai,,,,,42.0,42.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,28799.0,28799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +689,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/UForm,https://github.com/unum-cloud/UForm,Apache-2.0,2023-02-21 10:04:40.000,2025-09-03 08:31:52.000000,2025-09-03 08:30:14,302.0,76.0,14.0,67.0,15.0,24.0,1188.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",21.0,21,True,2.0,2025-09-03 08:31:52.000,3.1.3,39.0,,uform,,,,['pytorch'],38.0,36.0,https://pypi.org/project/uform,2025-09-03 08:31:52.000,2.0,491.0,513.0,,,,,,,,3.0,707.0,,,,,,,,,,,,,,,,,, +690,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,247.0,46.0,46.0,26.0,127.0,1083.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,False,,2020-10-12 06:56:40.000,0.7.6,21.0,,aocr,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +691,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/kubetorch,https://github.com/run-house/kubetorch,Apache-2.0,2022-05-10 14:10:51.000,2025-10-29 20:26:07.000000,2025-10-29 16:41:54,2237.0,41.0,7.0,1785.0,,53.0,1064.0,"Distribute and run AI workloads magically in Python, like PyTorch for ML infra.",16.0,21,True,11.0,2025-10-22 01:13:48.000,0.2.2,50.0,run-house/kubetorch,runhouse,,,,,1.0,,https://pypi.org/project/runhouse,2025-03-10 20:19:24.000,1.0,4515.0,4517.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,, +692,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2025-04-22 14:57:53.193000,2019-05-06 07:06:50,159.0,169.0,56.0,14.0,30.0,19.0,1037.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,,2016-07-27 14:55:01.000,0.3.2,4.0,,geoplotlib,conda-forge/geoplotlib,,,,196.0,194.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,439.0,653.0,https://anaconda.org/conda-forge/geoplotlib,2025-04-22 14:57:53.193,11380.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +693,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,182.0,48.0,12.0,17.0,42.0,1003.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,,2020-03-31 04:38:27.000,0.4.6,12.0,,tensornets,,,,['tensorflow'],92.0,87.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,5.0,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +694,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2024-10-12 16:41:54.000000,2024-10-12 16:34:55,60.0,75.0,6.0,5.0,2.0,25.0,880.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,True,,2024-10-12 16:41:54.000,0.1.9,8.0,,iterative-stratification,,,,['sklearn'],632.0,617.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,54336.0,54336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +695,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2025-08-11 08:11:30.000000,2025-08-11 08:11:28,5091.0,106.0,18.0,58.0,,15.0,805.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,21,True,11.0,2025-08-11 08:07:50.000,2.1.1,122.0,,caer,,,https://caer.rtfd.io,,3.0,,https://pypi.org/project/caer,2025-08-11 08:07:50.000,3.0,3781.0,3781.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,, +696,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,74.0,23.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,,2019-12-01 01:19:50.000,0.7.5,64.0,,test_tube,,,,,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,23423.0,23423.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,, +697,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2025-04-22 15:32:21.072000,2018-12-04 14:43:25,32.0,88.0,19.0,9.0,25.0,41.0,706.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,21,False,,2018-01-15 18:14:37.000,0.9.0,10.0,,pivottablejs,anaconda/pivottablejs,,,['jupyter'],553.0,543.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,16226.0,16262.0,https://anaconda.org/anaconda/pivottablejs,2025-04-22 15:32:21.072,4268.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +698,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,108.0,27.0,1.0,15.0,3.0,657.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,,2022-04-02 16:20:07.000,0.1.3,13.0,,combo,,,,"['sklearn', 'xgboost']",734.0,717.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,20540.0,20540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +699,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,50.0,26.0,12.0,13.0,15.0,630.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,,2018-02-08 07:28:51.000,0.1.0,5.0,,tensorboard_logger,,,,,281.0,273.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,30193.0,30193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +700,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2025-04-22 14:57:54.494000,2022-02-09 16:35:40,142.0,101.0,21.0,26.0,45.0,62.0,622.0,Build fully-functioning computer vision models with PyTorch.,12.0,21,False,,2022-02-02 00:22:07.000,1.2.2,13.0,,detecto,conda-forge/detecto,,,['pytorch'],197.0,195.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,2670.0,2824.0,https://anaconda.org/conda-forge/detecto,2025-04-22 14:57:54.494,8013.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +701,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2025-05-04 03:47:16.000000,2022-08-16 17:43:49,1877.0,62.0,15.0,217.0,2.0,316.0,614.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,,2022-08-16 19:54:29.000,0.8.1,27.0,,neuraxle,,,,,70.0,69.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,292.0,292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +702,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2025-04-22 14:57:03.596000,2021-12-19 09:41:43,133.0,61.0,10.0,21.0,20.0,37.0,600.0,Joyplots in Python with matplotlib & pandas.,8.0,21,False,,2021-12-19 09:42:50.000,0.2.6,18.0,,joypy,conda-forge/joypy,,,,618.0,579.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,39.0,29590.0,30236.0,https://anaconda.org/conda-forge/joypy,2025-04-22 14:57:03.596,37469.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +703,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2025-04-22 14:56:58.537000,2024-06-16 04:23:17,307.0,106.0,8.0,15.0,6.0,16.0,599.0,Make Waffle Charts in Python.,6.0,21,False,,2024-06-16 04:18:08.000,1.1.1,28.0,,pywaffle,conda-forge/pywaffle,,,,557.0,551.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,25878.0,26177.0,https://anaconda.org/conda-forge/pywaffle,2025-04-22 14:56:58.537,17995.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +704,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,64.0,24.0,31.0,5.0,24.0,578.0,Python module for machine learning time series:.,14.0,21,False,,2022-08-27 09:04:02.113,1.2.5,24.0,,seglearn,,,,,55.0,53.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1590.0,1590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +705,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2025-05-05 22:29:18.000000,2025-05-05 22:20:40,774.0,65.0,15.0,117.0,8.0,48.0,576.0,A simplified framework and utilities for PyTorch.,23.0,21,False,,2025-05-05 22:24:01.000,1.17.4,40.0,,poutyne,,,,['pytorch'],157.0,152.0,https://pypi.org/project/poutyne,2025-05-05 22:24:19.000,5.0,2952.0,2952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +706,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2025-01-25 05:40:47.000000,2025-01-25 05:40:47,1428.0,173.0,53.0,21.0,39.0,61.0,567.0,Bayesian inference in HSMMs and HMMs.,14.0,21,True,,2017-05-10 17:14:37.000,0.1.7,8.0,,pyhsmm,,,,,36.0,35.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +707,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,98.0,26.0,34.0,35.0,15.0,485.0,A python library for Bayesian time series modeling.,7.0,21,False,,2024-08-13 04:20:08.000,0.1.1.13,15.0,,pydlm,,,,,43.0,41.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,76744.0,76744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +708,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2025-10-27 15:49:26.000000,2025-10-14 16:40:20,3593.0,70.0,6.0,317.0,11.0,125.0,474.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,28.0,21,True,109.0,2023-07-13 11:41:03.541,0.1.2,12.0,,pykale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +709,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2025-02-17 12:59:31.000000,2025-02-17 12:57:23,73.0,26.0,9.0,10.0,2.0,10.0,449.0,Fast PyTorch based DSP for audio and 1D signals.,3.0,21,True,,2022-09-20 06:43:57.063,0.2.7,11.0,,julius,,,,['pytorch'],44.0,,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,844815.0,844815.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +710,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,77.0,23.0,12.0,48.0,49.0,423.0,optimization routines for hyperparameter tuning.,9.0,21,False,,2015-09-30 05:02:00.000,1.1.1,6.0,,optunity,,,,,150.0,147.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,2319.0,2319.0,,,,,,,,3.0,110.0,,,,,,,,,,,,,,,,,, +711,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2025-03-24 21:18:50.000000,2025-03-24 21:11:36,170.0,49.0,15.0,2.0,12.0,3.0,391.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,21,True,,2025-03-24 21:18:50.000,0.1.4,15.0,,suod,,,,,568.0,559.0,https://pypi.org/project/suod,2025-03-24 21:18:50.000,9.0,12829.0,12829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +712,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,,2020-08-22 00:00:22.000,2025-10-27 00:37:34.000000,2025-10-27 00:35:19,366.0,33.0,7.0,11.0,8.0,83.0,391.0,Multiple Imputation with LightGBM in Python.,9.0,21,False,26.0,2025-10-27 00:37:34.000,6.0.5,50.0,,miceforest,conda-forge/miceforest,,,,17.0,,https://pypi.org/project/miceforest,2025-10-27 00:37:34.000,17.0,26343.0,26766.0,https://anaconda.org/conda-forge/miceforest,2025-04-22 14:57:57.911,21614.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +713,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-10-14 17:26:35.000000,2024-10-14 15:20:39,3847.0,58.0,26.0,110.0,33.0,184.0,389.0,scalable audio processing framework and server written in Python.,23.0,21,False,,2023-01-03 17:34:09.000,1.1.3,28.0,,TimeSide,,,,,20.0,20.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,363.0,363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +714,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2025-10-27 16:33:07.200000,2025-09-29 12:01:16,719.0,26.0,21.0,402.0,54.0,92.0,388.0,Serverside scaling for Vega and Altair visualizations.,6.0,21,True,1.0,2025-09-29 12:04:38.000,2.0.3,75.0,vega/vegafusion,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,767.0,14879.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2025-10-27 16:33:07.200,517963.0,,,,,3.0,6565.0,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,1922.0,,,,,,,,,,,,, +715,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2025-10-25 04:57:47.000000,2025-10-01 13:19:31,580.0,92.0,24.0,328.0,76.0,27.0,382.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,29.0,21,True,2.0,2021-06-17 01:15:10.000,0.1.16,19.0,,tensorflow-cloud,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,18029.0,18029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +716,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,52.0,22.0,232.0,57.0,195.0,380.0,Studio: Simplify and expedite model building process.,24.0,21,False,,2021-09-14 22:55:51.000,0.0.49,208.0,,studioml,,,,,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,545.0,545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +717,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,49.0,9.0,37.0,29.0,37.0,361.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,,2019-04-29 02:33:05.659,0.0.8,8.0,,impyute,,,,,276.0,260.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3245.0,3245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +718,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2025-10-28 14:05:02.000000,2025-10-28 14:04:52,957.0,25.0,7.0,341.0,4.0,,348.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,14.0,21,True,46.0,2025-10-28 14:04:44.000,1.2.145,1183.0,,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2025-10-28 14:04:44.000,,5865.0,5865.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +719,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2025-09-05 02:51:23.155000,2024-01-18 11:58:51,626.0,71.0,24.0,32.0,35.0,113.0,277.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,,2023-02-18 02:51:08.166,1.7.6,18.0,,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1120.0,4580.0,https://anaconda.org/conda-forge/somoclu,2025-09-05 02:51:23.155,206698.0,,,,,3.0,2126.0,,,,,,,,,,,,,,,,,, +720,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,21.0,14.0,464.0,90.0,76.0,243.0,Functional tensors for probabilistic programming.,12.0,21,False,,2023-08-31 18:37:22.000,0.4.6,12.0,,funsor,,,,['pytorch'],111.0,101.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,14977.0,14977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +721,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2025-06-10 07:15:46.000000,2025-06-10 06:56:59,269.0,35.0,8.0,205.0,22.0,79.0,233.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",15.0,21,False,,2025-04-04 14:57:26.000,0.7.4,16.0,,celer,,,,['sklearn'],58.0,53.0,https://pypi.org/project/celer,2025-04-04 14:57:26.000,5.0,10184.0,10184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +722,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,2521.0,146.0,89.0,255.0,286.0,14816.0,End-to-End Object Detection with Transformers.,27.0,20,False,,2020-06-29 16:41:01.000,0.2,1.0,,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +723,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,328.0,55.0,242.0,177.0,111.0,3300.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,False,,2022-11-03 06:46:55.989,3.0.1,22.0,,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,2668.0,2678.0,,,,,,,,3.0,713.0,,,,,,,,,,,,,,,,,, +724,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,405.0,96.0,54.0,55.0,48.0,2970.0,Quickly search over billions of images.,19.0,20,False,,2017-02-13 14:54:48.000,1.1.2,10.0,rhsimplex/image-match,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,498.0,498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +725,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,329.0,98.0,1000.0,90.0,263.0,2886.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +726,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,831.0,81.0,30.0,46.0,80.0,2738.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,,2018-04-29 21:05:18.000,1.0.3,4.0,,deepwalk,,,,,82.0,82.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,414.0,414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +727,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,462.0,120.0,225.0,90.0,183.0,2349.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,,2019-10-10 14:17:10.000,1.0.1,13.0,,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +728,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2025-03-25 16:26:10.601000,2021-09-30 21:51:09,8208.0,184.0,56.0,895.0,146.0,586.0,1989.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,,2021-08-16 15:40:43.000,21.08.00,19.0,,,blazingsql/blazingsql-protocol,,,,,,,,,,15.0,https://anaconda.org/blazingsql/blazingsql-protocol,2025-03-25 16:26:10.601,1119.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +729,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,284.0,29.0,42.0,37.0,177.0,1989.0,A library for graph deep learning research.,50.0,20,False,,2023-04-07 20:33:15.000,1.1.0,10.0,,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +730,fast-bert,utterworks/fast-bert,nlp,,https://github.com/appvision-ai/fast-bert,https://github.com/appvision-ai/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,341.0,40.0,68.0,163.0,95.0,1908.0,Super easy library for BERT based NLP models.,37.0,20,False,,2024-08-19 09:45:05.000,2.0.26,72.0,appvision-ai/fast-bert,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,463.0,463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +731,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2025-04-22 14:56:24.858000,2022-01-30 01:22:30,743.0,214.0,36.0,111.0,56.0,42.0,1761.0,"Large-scale linear classification, regression and ranking in Python.",17.0,20,False,,2022-01-30 01:10:13.000,0.6.2.post0,12.0,,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],6.0,,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,990.0,4602.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2025-04-22 14:56:24.858,399162.0,,,,,3.0,852.0,,,,,,,,,,,,,,,,,, +732,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,120.0,34.0,12.0,39.0,51.0,1652.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,,2020-05-25 11:26:36.000,0.1.143,128.0,,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,2000.0,2000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +733,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2025-04-16 19:27:35.000000,2020-12-17 06:57:15,932.0,292.0,62.0,204.0,5.0,74.0,1597.0,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects:..,41.0,20,False,,2020-07-16 09:31:45.000,0.3.3,4.0,,delta-nlp,,zh794390558/delta,,['tensorflow'],2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,27.0,197.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13166.0,3.0,,,,,,,,,,,,,,,,,,, +734,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,134.0,97.0,152.0,23.0,20.0,1548.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,,2022-02-18 18:01:38.000,0.8.6,233.0,,lore,,,,,25.0,25.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,785.0,785.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +735,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,405.0,95.0,36.0,13.0,24.0,1448.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,,2018-02-26 17:43:57.000,0.2.1,5.0,,dltk,,,,['tensorflow'],35.0,35.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +736,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,101.0,37.0,14.0,15.0,9.0,1278.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,,2016-09-06 21:59:21.000,0.2.4,5.0,,doc2text,,,,,186.0,184.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,2436.0,2436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +737,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2025-04-22 14:57:33.362000,2022-02-14 20:43:06,145.0,181.0,15.0,42.0,28.0,60.0,946.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,20,False,,2020-12-01 06:11:12.000,1.2.1.post2,10.0,,robustness,conda-forge/robustness,,,,209.0,206.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,1403.0,1606.0,https://anaconda.org/conda-forge/robustness,2025-04-22 14:57:33.362,12636.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +738,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2025-08-19 21:30:46.000000,2025-08-19 21:29:11,303.0,257.0,40.0,18.0,11.0,92.0,900.0,Data compression in TensorFlow.,24.0,20,True,2.0,2024-08-07 20:25:13.000,2.17.0,26.0,,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,4271.0,4271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +739,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/sosuneko/PDPbox,https://github.com/sosuneko/PDPbox,MIT,2017-06-26 08:01:54.000,2025-04-22 14:57:08.147000,2023-06-05 01:35:02,228.0,129.0,17.0,25.0,33.0,41.0,861.0,python partial dependence plot toolbox.,7.0,20,False,,2023-06-05 02:53:01.145,0.3.0,4.0,sosuneko/PDPbox,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,14208.0,14667.0,https://anaconda.org/conda-forge/pdpbox,2025-04-22 14:57:08.147,25259.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +740,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-12-05 20:47:53.000000,2024-07-22 10:16:42,493.0,122.0,28.0,561.0,211.0,247.0,857.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,False,,2024-06-14 12:19:07.000,24.06.00,16.0,,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,18517.0,18517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +741,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,73.0,21.0,162.0,51.0,62.0,774.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,20,False,,2023-11-06 22:17:30.000,1.8.0,11.0,,objax,,,,['jax'],4.0,,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,3466.0,3466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +742,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,124.0,27.0,29.0,21.0,34.0,773.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,,2021-07-30 15:13:54.000,0.3.0,14.0,,sklearn-deap,,,,['sklearn'],51.0,51.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,786.0,786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +743,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2025-06-17 03:49:50.000000,2021-09-16 17:56:31,171.0,152.0,29.0,85.0,16.0,55.0,645.0,Code for the TCAV ML interpretability project.,19.0,20,False,,2021-02-23 16:17:42.000,0.2.2,4.0,,tcav,,,,['tensorflow'],31.0,28.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +744,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2025-10-28 22:58:10.000000,2025-10-28 22:56:54,763.0,76.0,20.0,11.0,21.0,53.0,630.0,Active Learning for Text Classification in Python.,10.0,20,True,17.0,2025-08-17 13:41:48.000,2.0.0.de3,25.0,,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",34.0,34.0,https://pypi.org/project/small-text,2025-08-17 13:37:54.000,,392.0,874.0,https://anaconda.org/conda-forge/small-text,2025-08-17 14:10:39.360,18811.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +745,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2025-09-22 12:08:20.000000,2024-08-18 17:07:49,821.0,42.0,11.0,18.0,,22.0,628.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,20,False,,2024-08-18 17:19:42.000,3.1.4,28.0,,opytimizer,,,,,21.0,21.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,1568.0,1568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +746,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,57.0,57.0,9.0,25.0,25.0,564.0,Python library assists deep learning on graphs.,18.0,20,False,,2021-09-05 23:08:21.000,0.2.1,5.0,,deepsnap,,,,,134.0,132.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,860.0,860.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,, +747,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2025-01-30 01:17:41.000000,2025-01-30 01:07:03,335.0,103.0,24.0,8.0,,34.0,543.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,20,True,,2025-01-30 01:17:41.000,0.2.2,148.0,,autoviml,,,,,31.0,28.0,https://pypi.org/project/autoviml,2025-01-30 01:17:41.000,3.0,2552.0,2552.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +748,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-11-27 12:27:25.000000,2023-03-05 00:16:57,419.0,116.0,34.0,277.0,85.0,175.0,525.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,20,False,,2019-09-11 11:25:15.000,0.6,23.0,,tick,,,,,96.0,94.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1011.0,1015.0,,,,,,,,3.0,444.0,,,,,,,,,,,,,,,,,, +749,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,112.0,18.0,58.0,30.0,21.0,515.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,,2023-04-30 02:25:49.592,0.4.4,8.0,,rrcf,,,,,109.0,101.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,4281.0,4281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +750,TorchUncertainty,ENSTA-U2IS-AI/torch-uncertainty,probabilistics,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,Apache-2.0,2023-02-01 16:21:14.000,2025-10-21 15:14:34.000000,2025-07-31 11:16:30,2061.0,35.0,8.0,149.0,16.0,51.0,440.0,Open-source framework for uncertainty and deep learning models in PyTorch.,13.0,20,True,,2025-07-31 07:51:07.000,0.7.0,28.0,,torch-uncertainty,,,,['pytorch'],4.0,,https://pypi.org/project/torch-uncertainty,2025-07-31 11:30:16.000,4.0,916.0,916.0,,,,,,,,3.0,,,,,,,-2.0,,,,,,,,,,,, +751,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2025-04-22 14:56:45.026000,2021-02-15 17:10:59,283.0,73.0,22.0,48.0,18.0,19.0,421.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,20,False,,2017-04-12 16:12:01.000,0.3.4,13.0,,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,10766.0,11424.0,https://anaconda.org/conda-forge/skrebate,2025-04-22 14:56:45.026,41500.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +752,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,27.0,21.0,239.0,24.0,25.0,302.0,Textpipe: clean and extract metadata from text.,29.0,20,False,,2021-01-25 14:05:21.000,0.12.2,39.0,,textpipe,,,,,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,165.0,165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +753,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2025-06-11 08:21:14.000000,2023-07-02 18:02:16,1462.0,50.0,12.0,233.0,24.0,64.0,263.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,,2021-06-09 10:56:14.000,0.2.3,11.0,predict-idlab/pyRDF2Vec,pyrdf2vec,,,,,55.0,49.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,509.0,509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +754,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2025-10-29 16:39:24.000000,2025-10-27 07:46:08,600.0,35.0,21.0,661.0,23.0,131.0,251.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,6.0,2024-06-21 06:39:45.000,0.16.0,21.0,,larq-compute-engine,,,,,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,478.0,497.0,,,,,,,,3.0,1348.0,,,,,,,,,,,,,,,,,, +755,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,800.0,330.0,58.0,2.0,,6932.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,19,False,,2018-02-17 00:12:46.000,2018.1.2,18.0,,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,187.0,193.0,,,,,,,,3.0,449.0,,,,,,,,,,,,,,,,,, +756,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,200.0,58.0,133.0,181.0,50.0,3131.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",22.0,19,False,,2021-11-19 16:51:47.000,1.0.0,34.0,,igel,,,,,,,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,91.0,91.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,, +757,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2025-04-22 14:58:08.015000,2024-08-15 19:08:06,312.0,169.0,23.0,35.0,33.0,31.0,2061.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,19,False,,2022-01-09 21:17:53.000,0.1.2,18.0,,ecco,conda-forge/ecco,,,['pytorch'],1.0,,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,300.0,468.0,https://anaconda.org/conda-forge/ecco,2025-04-22 14:58:08.015,7636.0,,,,,3.0,146.0,,,,,,,,,,,,,,,,,, +758,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,258.0,50.0,65.0,8.0,31.0,1401.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,False,,2018-12-05 02:48:50.000,0.4.1,2.0,,advbox,,,,,6.0,6.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +759,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,145.0,16.0,11.0,43.0,43.0,1155.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,,2022-02-02 20:34:04.000,1.1.4,80.0,,performer-pytorch,,,,['pytorch'],5.0,,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,8548.0,8548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +760,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,93.0,29.0,72.0,31.0,30.0,1117.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,19,False,,2021-02-15 20:20:59.000,0.5,2.0,,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,29803.0,29803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +761,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,237.0,27.0,38.0,43.0,21.0,892.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,,2022-10-01 22:28:00.848,0.1.7,10.0,,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,2165.0,2165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +762,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,143.0,12.0,24.0,64.0,69.0,861.0,PyTorch to Keras model convertor.,13.0,19,False,,2020-05-14 10:03:56.000,0.2.4,23.0,,pytorch2keras,,,,,112.0,111.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +763,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2025-02-14 12:15:27.000000,2025-02-14 12:08:46,33.0,87.0,12.0,36.0,4.0,26.0,845.0,Leave One Feature Out Importance.,6.0,19,True,,2025-02-14 12:15:27.000,0.3.5,15.0,,lofo-importance,,,,,47.0,42.0,https://pypi.org/project/lofo-importance,2025-02-14 12:15:27.000,5.0,1494.0,1494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +764,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2025-10-28 13:48:59.000000,2025-10-28 13:48:58,1259.0,126.0,28.0,1068.0,37.0,54.0,792.0,Machine learning framework for both deep learning and traditional algorithms.,41.0,19,True,1.0,2023-12-26 02:42:15.000,2.0.210,15.0,,neoml,,,,,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +765,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2024-07-30 20:59:38.000000,2019-11-15 21:43:53,221.0,161.0,75.0,99.0,54.0,43.0,748.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,,2018-11-16 20:50:02.000,0.6.0,6.0,,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,6225.0,6225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +766,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,105.0,24.0,49.0,15.0,54.0,739.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,,2019-08-08 01:24:38.000,0.0.9,9.0,,matrixprofile-ts,,,,,36.0,34.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +767,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2025-03-24 16:48:44.000000,2025-03-24 16:48:44,253.0,133.0,20.0,21.0,8.0,31.0,620.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,16.0,19,True,,2021-01-28 23:23:17.000,1.3.7,22.0,,rfpimp,,,,['sklearn'],5.0,,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,16435.0,16435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +768,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2025-10-28 11:20:23.000000,2025-10-28 11:14:23,73.0,54.0,18.0,16.0,4.0,19.0,554.0,Topological Data Analysis for Python.,7.0,19,True,3.0,2024-07-19 18:49:00.000,1.1.1,6.0,,scikit-tda,,,,['sklearn'],93.0,93.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1795.0,1795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +769,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,138.0,53.0,72.0,18.0,71.0,528.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,,2019-07-30 09:28:26.000,0.2.2,14.0,,atm,,,,,26.0,26.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +770,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2025-07-09 12:40:40.000000,2025-07-09 12:40:40,406.0,101.0,15.0,11.0,,50.0,485.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,19,True,,2024-10-30 20:46:59.000,0.0.19,19.0,,chefboost,,,,,72.0,72.0,https://pypi.org/project/chefboost,2024-10-30 20:46:59.000,,772.0,772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +771,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,31.0,13.0,148.0,40.0,66.0,476.0,A High Level API for Deep Learning in JAX.,18.0,19,False,,2022-03-23 21:51:07.000,0.8.6,33.0,,elegy,,,,"['tensorflow', 'jax']",56.0,56.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +772,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2025-04-22 14:57:56.438000,2024-09-06 09:27:10,824.0,26.0,6.0,78.0,33.0,24.0,432.0,Flexible time series feature extraction & processing.,6.0,19,False,,2024-09-06 09:28:53.000,0.4.1,38.0,,tsflex,conda-forge/tsflex,,,,25.0,23.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1049.0,1772.0,https://anaconda.org/conda-forge/tsflex,2025-04-22 14:57:56.438,36876.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +773,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2025-09-09 09:34:20.000000,2025-09-09 09:31:04,78.0,60.0,6.0,16.0,11.0,18.0,431.0,TextAugment: Text Augmentation Library.,10.0,19,True,5.0,2023-11-16 20:54:10.000,2.0.0,9.0,,textaugment,,,,,187.0,183.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4170.0,4171.0,,,,,,,,3.0,137.0,,,,,,,,,,,,,,,,,, +774,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2025-10-27 20:31:37.000000,2025-01-06 19:07:43,406.0,137.0,32.0,334.0,89.0,144.0,360.0,Brain Imaging Analysis Kit.,35.0,19,True,,2025-01-06 23:14:48.000,0.12,21.0,,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2025-01-07 00:16:42.000,,1335.0,1351.0,,,,https://hub.docker.com/r/brainiak/brainiak,2025-01-07 00:51:13.258034,1.0,1956.0,3.0,,,,,,,,,,,,,,,,,,, +775,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,53.0,10.0,60.0,17.0,41.0,342.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,19,False,,2020-07-31 05:29:09.000,1.0.7,8.0,,parameter-sherpa,,,,,47.0,43.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,652.0,652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +776,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2025-04-04 22:31:41.000000,2025-04-04 22:31:41,529.0,64.0,13.0,96.0,26.0,41.0,335.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,19,False,,2025-03-21 03:10:28.000,1.2.2,10.0,,omlt,,,,,34.0,30.0,https://pypi.org/project/omlt,2025-03-21 03:10:28.000,4.0,19475.0,19475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +777,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2025-10-26 00:14:14.000000,2024-11-07 18:17:34,501.0,116.0,19.0,608.0,57.0,130.0,289.0,An open-source toolkit for large-scale genomic analysis.,28.0,19,False,,2024-10-20 03:22:37.000,2.0.3,17.0,,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,3154.0,3289.0,https://anaconda.org/conda-forge/glow,2025-04-22 14:57:47.356,7435.0,,,,,3.0,242.0,,,,,,,,,,,,,,,,,, +778,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2025-04-26 15:48:04.000000,2023-02-07 20:17:52,60.0,56.0,23.0,43.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,19,False,,2020-05-14 22:20:14.000,0.1.9,12.0,,sk-dist,,,,"['sklearn', 'spark']",23.0,21.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,35039.0,35039.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +779,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2025-10-22 11:10:01.000000,2025-10-22 11:10:01,458.0,83.0,18.0,482.0,28.0,54.0,280.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,34.0,19,False,5.0,2023-10-25 10:51:36.000,0.2.1,23.0,,pipeline-dp,,,,,9.0,9.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,429.0,429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +780,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2025-06-01 07:01:23.000000,2025-06-01 06:49:00,443.0,20.0,4.0,43.0,10.0,50.0,265.0,Streaming over lightweight data transformations.,9.0,19,False,,2025-06-01 07:01:23.000,0.2.1,19.0,imedslab/solt,solt,,,,,65.0,65.0,https://pypi.org/project/solt,2025-06-01 07:01:23.000,,630.0,630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +781,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,25.0,6.0,15.0,4.0,11.0,232.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,,2024-09-26 08:36:59.000,0.2.4,12.0,,numerizer,,,,,103.0,100.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,23535.0,23535.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +782,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,,2018-12-08 15:32:09.000,0.4.6,13.0,,pyfasttext,,,,,460.0,458.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,868.0,872.0,,,,,,,,3.0,439.0,,,,,,,,,,,,,,,,,, +783,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,891.0,108.0,51.0,48.0,160.0,6351.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +784,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,1731.0,17.0,19.0,72.0,24.0,5242.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,18,False,,2021-05-27 22:28:29.000,0.1.2,13.0,,deepmatcher,,,,,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +785,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2025-03-25 16:28:52.378000,2020-02-09 21:03:48,299.0,416.0,99.0,83.0,67.0,48.0,3032.0,Deep recommender models using PyTorch.,11.0,18,False,,2019-09-08 10:19:53.000,0.1.6,7.0,,,maciejkula/spotlight,,,['pytorch'],,,,,,,94.0,https://anaconda.org/maciejkula/spotlight,2025-03-25 16:28:52.378,9428.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +786,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,237.0,56.0,106.0,27.0,56.0,2165.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,18,False,,2021-05-21 00:29:47.000,0.2,3.0,,pycls,,,,['pytorch'],,,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,4728.0,4728.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +787,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2025-02-25 23:52:42.000000,2024-12-03 12:26:16,792.0,71.0,26.0,1029.0,127.0,66.0,1671.0,Version control for machine learning.,18.0,18,True,,2021-03-11 21:15:01.000,0.4.2,7.0,,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,876.0,876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +788,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2025-04-22 14:58:11.525000,2024-06-27 07:26:43,298.0,108.0,24.0,52.0,25.0,17.0,920.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,18,False,,2024-06-18 06:17:13.000,0.2.17,23.0,,evojax,conda-forge/evojax,,,['jax'],6.0,,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1495.0,2499.0,https://anaconda.org/conda-forge/evojax,2025-04-22 14:58:11.525,44215.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +789,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2025-01-27 18:38:03.000000,2025-01-27 18:38:03,25.0,58.0,15.0,8.0,,10.0,804.0,MADGRAD Optimization Method.,3.0,18,True,,,,4.0,,madgrad,,,,['pytorch'],108.0,107.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,9741.0,9741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +790,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,175.0,31.0,15.0,19.0,22.0,782.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,,2022-01-17 20:35:57.000,1.0.2,3.0,,tffm,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +791,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-12-16 23:31:08.000000,2024-08-07 21:38:41,314.0,104.0,3.0,3.0,1.0,,727.0,Data Analysis Baseline Library.,24.0,18,False,,2024-12-16 23:31:08.000,0.3.2,20.0,,dabl,,,,['sklearn'],3.0,,https://pypi.org/project/dabl,2024-12-16 23:31:08.000,3.0,2906.0,2906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +792,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2025-03-19 09:06:36.000000,2025-03-19 09:06:35,613.0,88.0,23.0,4.0,39.0,42.0,708.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,18,True,,2022-09-19 20:15:07.376,0.3.17,25.0,,thundergbm,,,,,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +793,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,67.0,16.0,21.0,29.0,50.0,674.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,,2020-06-12 20:05:15.000,0.3.9,26.0,,nboost,,,,,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +794,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2025-02-19 01:40:22.000000,2025-02-19 01:34:13,351.0,98.0,7.0,20.0,1.0,111.0,672.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,18,True,,2025-02-19 01:40:22.000,0.6.1,167.0,,featurewiz,,,,,4.0,,https://pypi.org/project/featurewiz,2025-02-19 01:40:22.000,4.0,4608.0,4608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +795,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2025-04-22 14:57:03.201000,2021-04-11 07:50:00,405.0,29.0,17.0,42.0,6.0,18.0,590.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,,2020-11-15 13:40:18.000,0.4.2,19.0,,baikal,conda-forge/cython-blis,,,,16.0,15.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,325.0,45882.0,https://anaconda.org/conda-forge/cython-blis,2025-04-22 14:57:03.201,2778988.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +796,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,74.0,13.0,10.0,26.0,41.0,587.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,,2022-04-05 03:23:12.000,0.1.4,14.0,,fastt5,,,,,55.0,55.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,732.0,732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +797,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,100.0,16.0,53.0,13.0,16.0,581.0,A library of metrics for evaluating recommender systems.,20.0,18,False,,2022-04-26 18:03:18.000,0.1.5,20.0,,recmetrics,,,,,64.0,64.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,427.0,427.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,, +798,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,70.0,6.0,6.0,4.0,32.0,579.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,False,,2024-02-21 14:38:09.000,0.2.7,10.0,,shap-hypetune,,,,,25.0,23.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,7514.0,7514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +799,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,94.0,21.0,19.0,6.0,20.0,498.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,,2021-11-25 23:19:05.000,1.1.1,42.0,,caserecommender,,,,['sklearn'],15.0,15.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +800,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,105.0,10.0,130.0,18.0,138.0,492.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,False,,2024-04-12 03:07:31.000,0.3.7,6.0,,deslib,,,,['sklearn'],3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,2451.0,2451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +801,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2025-04-22 14:57:01.743000,2024-08-29 18:18:33,183.0,38.0,8.0,32.0,17.0,20.0,414.0,A python package for animating plots build on matplotlib.,6.0,18,False,,2024-08-29 18:26:55.000,0.4.3,11.0,,animatplot,conda-forge/animatplot,,,,81.0,77.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,614.0,923.0,https://anaconda.org/conda-forge/animatplot,2025-04-22 14:57:01.743,18571.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +802,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,38.0,8.0,1.0,2.0,80.0,410.0,Deep Learning PyTorch.,1.0,18,False,,2024-01-09 05:17:07.000,0.5.0,103.0,,carefree-learn,,,,['pytorch'],8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,1463.0,1463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +803,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2025-08-04 23:15:10.000000,2025-08-04 23:14:37,397.0,86.0,20.0,369.0,35.0,10.0,357.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,39.0,18,True,7.0,2025-06-25 20:53:25.000,0.48.0,33.0,,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2025-06-25 20:53:25.000,,1085.0,1085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +804,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,17.0,4.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,,2023-03-07 22:10:10.175,0.8.9,49.0,,camphr,,,,['spacy'],18.0,16.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +805,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,45.0,11.0,64.0,3.0,57.0,337.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,False,,2024-06-13 05:28:35.000,2.0.11,36.0,,ivis,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,828.0,828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +806,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,42.0,15.0,6.0,19.0,21.0,327.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,18,False,,2022-04-28 06:23:38.000,0.5.2,9.0,google-deepmind/launchpad,dm-launchpad,,,,['tensorflow'],3.0,,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1047.0,1047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +807,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,32.0,11.0,36.0,9.0,44.0,236.0,A library for augmenting annotated audio data.,7.0,18,False,,2019-11-15 15:46:21.000,0.4.1,12.0,,muda,,,,,34.0,32.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,265.0,265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +808,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2025-04-22 15:32:34.997000,2024-06-30 08:01:08,6.0,57.0,3.0,2.0,3.0,1.0,141.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,,2017-06-03 07:43:46.000,7.352.0,1.0,,nvidia-ml-py3,anaconda/nvidia-ml,,,,11085.0,10956.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,349856.0,349882.0,https://anaconda.org/anaconda/nvidia-ml,2025-04-22 15:32:34.997,1368.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +809,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,1369.0,454.0,22.0,61.0,167.0,7267.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,,2020-12-07 11:26:33.000,release-2020-12-07,8.0,google-deepmind/lab,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +810,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,191.0,21.0,22.0,20.0,30.0,1850.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,17,False,,2022-03-24 23:28:17.000,0.4.0,3.0,,graphgym,,,,,,,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,73.0,74.0,,,,,,,,3.0,58.0,,,,,,,,,,,,,,,,,, +811,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,459.0,76.0,36.0,85.0,68.0,1716.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,,2019-10-02 23:30:15.000,1.0.8,7.0,,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +812,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,254.0,50.0,13.0,20.0,13.0,1561.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,,2018-10-18 02:54:09.000,0.1.6,4.0,,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,91.0,108.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1713.0,3.0,,,,,,,,,,,,,,,,,,, +813,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,155.0,45.0,3.0,13.0,15.0,1530.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,17,False,,2020-11-18 08:19:23.000,0.4.0,11.0,,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +814,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,105.0,52.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,17,False,,2017-08-21 00:53:25.000,0.5.1,34.0,,xcessiv,,,,,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +815,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,110.0,16.0,37.0,26.0,8.0,1047.0,Distributed Computing for AI Made Simple.,5.0,17,False,,2020-07-09 03:28:28.000,0.2.1,6.0,,fiber,,,,,97.0,96.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,368.0,368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +816,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,122.0,46.0,22.0,15.0,9.0,870.0,A medical imaging framework for Pytorch.,8.0,17,False,,2018-11-24 00:33:11.000,0.2,2.0,,medicaltorch,,,,['pytorch'],19.0,19.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,1111.0,1111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +817,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,122.0,20.0,27.0,1.0,88.0,763.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,17,False,,2024-05-05 11:51:57.000,0.0.92,39.0,,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,2009.0,2009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +818,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,94.0,17.0,19.0,5.0,29.0,648.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,,2022-03-15 07:18:47.000,0.1.0,6.0,,textflint,,,,,21.0,21.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,1032.0,1032.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +819,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,17,False,,2024-09-18 17:05:04.000,0.12.2,50.0,,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,3335.0,3335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +820,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,113.0,67.0,7.0,15.0,19.0,441.0,semantic similarity framework for knowledge graph.,10.0,17,False,,2017-04-17 10:56:52.000,1.0.4,5.0,,sematch,,,,,50.0,50.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +821,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,88.0,15.0,248.0,10.0,23.0,439.0,A toolkit that streamlines and automates the generation of model cards.,22.0,17,False,,2023-04-03 18:05:05.715,2.0.0,12.0,,model-card-toolkit,,,,,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,597.0,597.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,, +822,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,38.0,12.0,39.0,2.0,13.0,403.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,False,,2021-10-22 03:19:11.000,0.6.5,8.0,,pywick,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +823,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2025-06-23 06:29:44.000000,2025-06-23 06:29:41,1060.0,30.0,8.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,17,True,,2018-12-07 06:16:42.000,0.0.40,41.0,,datmo,,,,,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +824,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,,2015-10-27 12:28:45.000,2025-08-20 19:04:39.000000,2025-08-20 19:04:39,290.0,45.0,17.0,6.0,10.0,10.0,321.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,17,False,2.0,2025-07-01 21:57:26.000,1.2.0,16.0,,deepgraph,conda-forge/deepgraph,,,['pandas'],12.0,12.0,https://pypi.org/project/deepgraph,2025-07-01 21:57:26.000,,1704.0,7484.0,https://anaconda.org/conda-forge/deepgraph,2025-07-02 07:48:37.631,346833.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +825,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,69.0,21.0,59.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,,2021-05-15 01:39:45.000,0.3.0,10.0,,bluefog,,,,['pytorch'],5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,113.0,116.0,,,,,,,,3.0,212.0,,,,,,,,,,,,,,,,,, +826,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,48.0,,,,,256.0,Pytorch framework for doing deep learning on point clouds.,29.0,17,False,,2021-04-30 09:00:22.000,1.3.0,14.0,,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +827,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2025-06-14 19:29:17.000000,2025-06-14 19:29:17,704.0,46.0,9.0,61.0,34.0,47.0,248.0,Scikit-learn compatible estimation of general graphical models.,8.0,17,False,,2018-09-12 01:12:49.000,0.2.8,6.0,,skggm,,,,['sklearn'],22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +828,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2025-10-06 21:53:09.000000,2025-06-07 11:27:48,373.0,37.0,5.0,138.0,,35.0,230.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,,2021-11-26 17:10:22.000,0.2.0,38.0,aniketmaurya/chitra,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,346.0,472.0,https://anaconda.org/conda-forge/chitra,2025-04-22 14:58:08.672,5681.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +829,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2025-02-24 10:11:46.000000,2024-06-06 14:27:44,864.0,17.0,8.0,186.0,12.0,23.0,154.0,Toolkit for developing and maintaining ML models.,14.0,17,False,,2025-02-24 10:11:46.000,0.1.3,36.0,,modelkit,,,,,,,https://pypi.org/project/modelkit,2025-02-24 10:11:46.000,,10540.0,10540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +830,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,32.0,12.0,54.0,13.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,17,False,,2018-11-23 09:49:59.000,0.1.16,16.0,,steppy,,,,,65.0,60.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +831,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,1055.0,116.0,26.0,17.0,353.0,4430.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +832,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,531.0,168.0,110.0,56.0,149.0,3957.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +833,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2025-10-09 09:15:33.000000,2025-08-06 21:48:00,737.0,462.0,33.0,897.0,286.0,119.0,3697.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,95.0,16,True,2.0,,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +834,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,172.0,59.0,10.0,26.0,6.0,1865.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,,2019-04-05 06:51:04.000,0.2.1,2.0,,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,61.0,61.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,, +835,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,120.0,28.0,111.0,16.0,25.0,1121.0,An autoML framework & toolkit for machine learning on graphs.,16.0,16,False,,2022-12-30 06:11:04.000,0.4.0,4.0,,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +836,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,131.0,31.0,16.0,9.0,4.0,925.0,Nudity detection with Python.,12.0,16,False,,2020-11-23 13:49:17.000,0.5.1,10.0,,nudepy,,,,,5.0,,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +837,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,111.0,27.0,10.0,26.0,51.0,809.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,,10.0,,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1522.0,1522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +838,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,57.0,14.0,10.0,26.0,17.0,790.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,16,False,,2022-07-27 19:52:00.185,1.2.7,19.0,,parallelformers,,,,,69.0,69.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +839,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,103.0,23.0,101.0,37.0,84.0,708.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,,2021-02-16 11:34:12.211,3.0.0,16.0,,hyperparameter-hunter,,,,,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,53.0,59.0,,,,,,,,3.0,563.0,,,,,,,,,,,,,,,,,, +840,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2025-10-29 12:36:20.000000,2025-09-09 13:32:50,996.0,111.0,28.0,154.0,50.0,76.0,569.0,A Python implementation of active inference for Markov Decision Processes.,19.0,16,True,2.0,2023-03-25 17:58:52.000,0.0.7.1,8.0,,inferactively-pymdp,,,,,,,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,1083.0,1083.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +841,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,93.0,33.0,106.0,12.0,51.0,552.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,16,False,,2022-07-29 11:37:34.000,0.3.0,8.0,typedb/typedb-ml,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,54.0,57.0,,,,,,,,3.0,257.0,,,,,,,,,,,,,,,,,, +842,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,84.0,34.0,47.0,5.0,12.0,418.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,,2020-02-18 06:52:11.000,0.3.0,12.0,,openrec,,,,,6.0,5.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +843,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2025-09-04 15:40:44.000000,2022-02-01 17:31:29,99.0,39.0,7.0,18.0,1.0,5.0,376.0,A PyTorch Graph Neural Network Library.,8.0,16,False,,2021-10-21 21:43:04.000,0.10.4,18.0,,ptgnn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +844,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,30.0,21.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,,1.0,,pdvega,,,,,92.0,92.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +845,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,47.0,23.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,16,False,,2018-05-22 20:25:51.000,0.1.0,12.0,,mxboard,,,,['mxnet'],,,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2982.0,2982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +846,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,79.0,16.0,93.0,30.0,18.0,319.0,"pandas, scikit-learn, xgboost and seaborn integration.",5.0,16,False,,2019-03-05 01:36:12.000,0.6.1,9.0,,pandas-ml,,,,"['sklearn', 'pandas']",2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2011.0,2011.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,, +847,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,26.0,10.0,15.0,9.0,4.0,227.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,,2020-06-02 21:11:12.000,0.1.6,8.0,,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,2204.0,2204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +848,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2025-10-29 14:12:06.000000,,,,,,,,,Supercharging Machine Learning.,,16,True,,2025-10-15 12:34:49.000,3.53.2,327.0,,comet_ml,comet_ml,,,,103.0,,https://pypi.org/project/comet_ml,2025-10-29 14:12:06.000,103.0,572124.0,572124.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +849,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,558.0,135.0,28.0,220.0,102.0,2900.0,A distributed graph deep learning framework.,5.0,15,False,,2020-07-07 02:24:18.000,2.0.0,2.0,,euler-gl,,,,['tensorflow'],2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +850,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,420.0,138.0,72.0,12.0,53.0,2224.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +851,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,232.0,36.0,40.0,73.0,34.0,1197.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +852,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,117.0,17.0,295.0,2.0,70.0,1094.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,False,,2022-12-28 02:06:22.000,2.0.0,10.0,,textbox,,,,,,,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +853,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,203.0,41.0,667.0,28.0,27.0,834.0,Translate - a PyTorch Language Library.,89.0,15,False,,,,1.0,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +854,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,86.0,14.0,15.0,10.0,22.0,744.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,False,,2020-05-29 14:39:38.000,0.1.3,12.0,,flashtorch,,,,['pytorch'],23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +855,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,40.0,22.0,4.0,4.0,2.0,684.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,,2020-01-06 05:27:17.000,0.1.6,14.0,,SpeedTorch,,,,['pytorch'],9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +856,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,61.0,13.0,83.0,19.0,49.0,646.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,,2022-05-18 08:35:04.000,0.0.32,8.0,,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +857,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,67.0,17.0,101.0,25.0,15.0,501.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,False,,2023-06-16 17:26:21.434,0.4.2,11.0,,caliban,,,,,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +858,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2025-06-24 18:29:19.000000,2025-06-24 18:29:11,87.0,61.0,13.0,73.0,7.0,9.0,446.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,,2020-08-07 01:13:52.000,0.1.15,16.0,,vizseq,,,,,13.0,13.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +859,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,55.0,9.0,17.0,10.0,29.0,440.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,False,,2021-02-07 11:06:21.000,2.407,56.0,,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,416.0,416.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,, +860,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2025-04-22 14:57:32.689000,2018-08-29 15:31:30,15.0,57.0,16.0,6.0,7.0,,401.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,,2018-08-29 15:14:41.000,1.1.1,3.0,,Adversary,conda-forge/artificial-adversary,,,,15.0,14.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,62.0,208.0,https://anaconda.org/conda-forge/artificial-adversary,2025-04-22 14:57:32.689,9245.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +861,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,37.0,9.0,8.0,10.0,3.0,362.0,A Python package for time series augmentation.,4.0,15,False,,2020-04-17 02:50:25.000,0.2.1,4.0,,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,10185.0,10185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +862,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2025-01-04 18:56:14.000000,2025-01-04 18:56:14,175.0,38.0,19.0,5.0,11.0,23.0,355.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,,2017-03-30 10:51:26.000,0.4.2,22.0,,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +863,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,15.0,10.0,6.0,9.0,6.0,323.0,Drift Detection for your PyTorch Models.,4.0,15,False,,2021-03-08 12:21:48.000,0.1.0,3.0,,torchdrift,,,,['pytorch'],31.0,31.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,394.0,394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +864,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,18.0,10.0,271.0,64.0,181.0,302.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,,5.0,,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,786.0,786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +865,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,24.0,9.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,15,False,,2022-02-14 13:45:54.000,0.0.23,18.0,,skift,,,,['sklearn'],17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +866,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,14.0,7.0,2.0,,5.0,224.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,15,False,,2023-12-15 03:21:06.000,0.1.29,25.0,,ipyexperiments,,,,['jupyter'],12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +867,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,27.0,4.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,,23.0,,parfit,,,,['sklearn'],29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +868,effector,givasile/effector,interpretability,,https://github.com/givasile/effector,https://github.com/givasile/effector,MIT,2022-03-31 07:54:32.000,2025-07-21 17:06:53.000000,2025-07-21 17:00:11,523.0,2.0,3.0,1.0,,3.0,117.0,Effector - a Python package for global and regional effect methods.,7.0,15,False,,2025-07-21 17:06:53.000,0.2.0,48.0,,effector,,,,,5.0,5.0,https://pypi.org/project/effector,2025-07-21 17:06:53.000,,2408.0,2408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +869,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,1001.0,60.0,13.0,45.0,26.0,3823.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +870,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,843.0,74.0,35.0,120.0,59.0,3609.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +871,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-12-30 21:14:55.000000,2024-12-30 20:51:08,23.0,280.0,28.0,24.0,34.0,38.0,3446.0,A small package to create visualizations of PyTorch execution graphs.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +872,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,488.0,63.0,26.0,10.0,96.0,1701.0,An Open-Source Package for Network Embedding (NE).,12.0,14,False,,,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +873,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,294.0,49.0,23.0,42.0,85.0,1340.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +874,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2025-03-25 16:27:49.968000,2024-06-14 21:18:09,16.0,158.0,28.0,,55.0,60.0,1260.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,,4.0,,,milagraph/graphvite,,,,,,,,,,71.0,https://anaconda.org/milagraph/graphvite,2025-03-25 16:27:49.968,5296.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +875,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,142.0,15.0,11.0,25.0,18.0,1159.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,14,False,,2022-09-20 02:28:33.973,0.7.2,26.0,,tez,,,,['pytorch'],2.0,,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,405.0,405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +876,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2025-04-22 14:56:37.757000,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,,2018-09-21 07:03:32.000,1.1.2,23.0,,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,486.0,2580.0,https://anaconda.org/conda-forge/skater,2025-04-22 14:56:37.757,131965.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +877,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2025-04-22 14:58:02.427000,2022-04-07 20:49:56,235.0,36.0,10.0,13.0,8.0,16.0,811.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,14,False,,2021-12-11 21:24:11.000,1.0,37.0,,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],,,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,334.0,450.0,https://anaconda.org/conda-forge/tensor-sensor,2025-04-22 14:58:02.427,5579.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +878,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,132.0,41.0,435.0,29.0,130.0,728.0,GPU accelerated signal processing.,45.0,14,False,,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +879,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,51.0,17.0,171.0,8.0,66.0,577.0,A collection of tools for neural compression enthusiasts.,10.0,14,False,,2023-10-03 14:26:28.000,0.3.1,6.0,,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +880,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,91.0,20.0,18.0,22.0,2.0,518.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,,2020-11-12 16:10:48.000,zen,39.0,,atspy,,,,,14.0,14.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,354.0,354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +881,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,68.0,15.0,177.0,87.0,16.0,430.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,False,,2021-12-07 15:12:02.000,0.1.3,5.0,,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +882,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HenryNdubuaku/nanodl,https://github.com/HenryNdubuaku/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,11.0,7.0,15.0,2.0,7.0,295.0,"A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin,..",3.0,14,False,,2024-08-28 20:41:08.000,0.0.0,8.0,HenryNdubuaku/nanodl,nanodl,,,,['jax'],3.0,3.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +883,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,31.0,5.0,6.0,8.0,8.0,256.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,14,False,,2021-01-28 09:26:15.000,0.1.8,11.0,,onnxt5,,,,,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +884,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,12.0,14.0,14.0,5.0,4.0,242.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,,2021-04-20 13:53:12.000,0.1.2,16.0,,backprop,,,,,,,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,442.0,442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +885,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,31.0,5.0,72.0,43.0,8.0,234.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,,27.0,,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +886,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,19.0,2.0,3.0,17.0,23.0,198.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,14,False,,2023-01-22 01:21:35.467,0.75.5,78.0,,hugsvision,,,,['huggingface'],15.0,15.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +887,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,39.0,10.0,18.0,28.0,18.0,128.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,,2019-06-10 21:04:04.000,0.2.3,6.0,,deepneuro,,,,,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +888,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,984.0,100.0,28.0,28.0,357.0,3988.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +889,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,484.0,104.0,12.0,39.0,8.0,2724.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +890,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,91.0,46.0,4.0,3.0,,2661.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,,2022-08-09 04:22:55.000,0.1.3,4.0,,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,3059.0,3061.0,,,,,,,,3.0,90.0,,,,,,,,,,,,,,,,,, +891,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,178.0,34.0,10.0,13.0,3.0,1379.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +892,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,57.0,16.0,3.0,2.0,1.0,554.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,,2020-11-12 16:13:21.000,zen,11.0,,deltapy,,,,,6.0,6.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +893,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,16.0,10.0,58.0,4.0,20.0,294.0,NLP library designed for reproducible experimentation management.,7.0,13,False,,2020-05-28 19:00:02.000,0.1.6,8.0,,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +894,Headliner,as-ideas/headliner,nlp,,https://github.com/spring-media/headliner,https://github.com/spring-media/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,40.0,13.0,7.0,2.0,13.0,227.0,Easy training and deployment of seq2seq models.,2.0,13,False,,2020-01-24 09:06:29.000,1.0.2,30.0,spring-media/headliner,headliner,,,,,1.0,,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +895,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,12.0,5.0,20.0,6.0,,49.0,Distributed machine learning made simple.,2.0,13,False,,2020-12-14 15:25:59.000,0.2.4,5.0,,lazycluster,,,,,53.0,53.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +896,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,11.0,9.0,17.0,,,45.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,,2024-02-04 11:31:27.000,0.0.13,12.0,,bias-detector,,,,,4.0,4.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +897,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,434.0,59.0,7.0,72.0,17.0,2111.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +898,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,331.0,86.0,11.0,12.0,6.0,1828.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +899,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2025-08-11 10:54:38.000000,2022-11-21 12:12:41,1044.0,12.0,6.0,26.0,1.0,2.0,283.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,,2022-11-21 12:23:00.858,0.2.0,21.0,,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,89.0,94.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,319.0,3.0,11.0,,,,,,,,,,,,,,,,,, +900,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,28.0,20.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,12,False,,2021-03-03 02:00:23.000,2.0,7.0,,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +901,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,26.0,6.0,17.0,4.0,6.0,195.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,12,False,,2019-09-12 07:41:04.000,2.0,4.0,,textvec,,,,['sklearn'],7.0,7.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +902,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2025-06-17 03:41:09.000000,2021-01-28 00:04:40,208.0,25.0,15.0,52.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,,2.0,,autodist,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +903,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,11.0,7.0,127.0,9.0,9.0,132.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,12,False,,2024-09-17 10:36:38.000,0.2.8,10.0,,,,,,['jax'],11.0,11.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +904,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,12.0,2.0,1238.0,42.0,10.0,128.0,Experiment tracking for machine and deep learning projects.,3.0,12,False,,2019-04-09 10:43:15.000,0.4.0,37.0,,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,163.0,172.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,774.0,3.0,,,,,,,,,,,,,,,,,,, +905,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,9.0,3.0,,2.0,4.0,124.0,Tools for training explainable models using attribution priors.,6.0,12,False,,2021-03-16 17:47:18.000,1.0.0,4.0,,attributionpriors,,,,"['tensorflow', 'pytorch']",7.0,7.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +906,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,13.0,11.0,5.0,3.0,2.0,113.0,"Better, faster hyper-parameter optimization.",8.0,12,False,,2019-10-23 15:40:12.000,0.5.1,11.0,genixpro/hypermax,hypermax,,,,,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +907,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,11.0,6.0,4.0,6.0,14.0,111.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,,2023-03-08 10:33:19.000,0.2.6,11.0,,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +908,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2025-07-29 18:57:00.000000,2021-11-11 10:53:33,630.0,13.0,11.0,26.0,4.0,13.0,87.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,,2021-01-25 04:56:57.000,0.0.2,2.0,SAP-archive/contextual-ai,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +909,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,8.0,5.0,4.0,14.0,18.0,82.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,,2021-06-25 14:27:32.000,0.0.7,8.0,,nylon-ai,,,,,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +910,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,521.0,89.0,22.0,52.0,15.0,3259.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +911,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,116.0,42.0,13.0,7.0,20.0,952.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +912,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,146.0,36.0,7.0,19.0,14.0,920.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +913,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,49.0,9.0,11.0,5.0,17.0,851.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,11,False,,,,,,rliable`,,,,,,,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +914,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,21.0,11.0,41.0,7.0,12.0,367.0,A library for distributed ML training with PyTorch.,6.0,11,False,,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +915,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2025-07-30 15:35:54.000000,2021-02-03 08:52:27,857.0,2.0,2.0,3.0,7.0,6.0,33.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,11,False,,2021-12-23 15:53:08.000,1.2.0,3.0,,nptsne,,,,,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +916,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,95.0,17.0,5.0,4.0,12.0,688.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +917,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,58.0,16.0,13.0,14.0,11.0,552.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +918,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-05-23 06:27:40.000000,,,20.0,,,7.0,,101.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",13.0,10,False,,2023-03-31 16:09:03.477,1.3.1,10.0,,collie,,,,['pytorch'],,,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +919,pyclugen,clugen/pyclugen,data-pipelines,,https://github.com/clugen/pyclugen,https://github.com/clugen/pyclugen,MIT,2020-08-22 19:52:09.000,2025-08-12 13:57:25.000000,2025-08-12 13:55:40,279.0,,1.0,,,1.0,10.0,Multidimensional cluster generation in Python.,,10,False,1.0,2025-07-01 22:49:57.000,1.1.4,12.0,,pyclugen,,,,,,,https://pypi.org/project/pyclugen,2025-07-01 22:49:57.000,,65.0,65.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +920,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,24.0,7.0,2.0,2.0,6.0,153.0,Python package to generate stock portfolios.,4.0,9,False,,2020-03-13 20:04:08.000,0.2,3.0,,pyrtfolio,,,,,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +921,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,10.0,8.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,,2020-01-26 23:08:16.000,1.0.1,7.0,,hypertunity,,,,,5.0,5.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +922,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,9.0,7.0,2.0,1.0,,71.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,,2022-11-22 17:50:34.944,0.0.1,1.0,,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,31.0,31.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +923,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,1.0,2.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,8,False,,2020-11-02 02:25:32.000,0.0.3,3.0,,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index de06cda..30c713d 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- PaddleOCR (πŸ₯‡44 Β· ⭐ 61K Β· πŸ“ˆ) - Turn any PDF or image document into structured data for.. Apache-2 -- Milvus (πŸ₯‡43 Β· ⭐ 38K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database built.. Apache-2 -- imageio (πŸ₯‡39 Β· ⭐ 1.7K Β· πŸ“ˆ) - Python library for reading and writing image data. BSD-2 -- Opik (πŸ₯‡37 Β· ⭐ 15K Β· πŸ“ˆ) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 -- fairlearn (πŸ₯ˆ30 Β· ⭐ 2.1K Β· πŸ“ˆ) - A Python package to assess and improve fairness of machine.. MIT -- snownlp (πŸ₯‰27 Β· ⭐ 6.6K Β· πŸ’€) - Python library for processing Chinese text. MIT -- python_speech_features (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT -- Runhouse (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ“ˆ) - Distribute and run AI workloads magically in Python, like.. Apache-2 -- miceforest (πŸ₯ˆ21 Β· ⭐ 390 Β· πŸ“ˆ) - Multiple Imputation with LightGBM in Python. MIT -- Sherpa (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 +- dask (πŸ₯‡45 Β· ⭐ 14K Β· πŸ“ˆ) - Parallel computing with task scheduling. BSD-3 +- spaCy (πŸ₯‡43 Β· ⭐ 33K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Faiss (πŸ₯‡42 Β· ⭐ 38K Β· πŸ“ˆ) - A library for efficient similarity search and clustering of dense vectors. MIT +- scikit-image (πŸ₯‡41 Β· ⭐ 6.4K Β· πŸ“ˆ) - Image processing in Python. ❗Unlicensed +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 27K Β· πŸ“ˆ) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- audioread (πŸ₯ˆ33 Β· ⭐ 520 Β· πŸ“ˆ) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +- datalad (πŸ₯ˆ30 Β· ⭐ 620 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-.. ❗Unlicensed +- Dedupe (πŸ₯ˆ29 Β· ⭐ 4.4K Β· πŸ“ˆ) - A python library for accurate and scalable fuzzy matching, record.. MIT +- openTSNE (πŸ₯‰29 Β· ⭐ 1.6K Β· πŸ“ˆ) - Extensible, parallel implementations of t-SNE. BSD-3 +- kapre (πŸ₯‰25 Β· ⭐ 930 Β· πŸ“ˆ) - kapre: Keras Audio Preprocessors. MIT ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- Faiss (πŸ₯‡41 Β· ⭐ 38K Β· πŸ“‰) - A library for efficient similarity search and clustering of dense vectors. MIT -- haystack (πŸ₯‡37 Β· ⭐ 23K Β· πŸ“‰) - AI orchestration framework to build customizable, production-.. Apache-2 -- PyOD (πŸ₯ˆ35 Β· ⭐ 9.5K Β· πŸ“‰) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 -- AutoGluon (πŸ₯‡35 Β· ⭐ 9.5K Β· πŸ“‰) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- tensorflow-probability (πŸ₯‡35 Β· ⭐ 4.4K Β· πŸ“‰) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- ivy (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ“‰) - Convert Machine Learning Code Between Frameworks. Apache-2 -- ViZDoom (πŸ₯‡29 Β· ⭐ 1.9K Β· πŸ“‰) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- GluonCV (πŸ₯‰27 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- pytorch_geometric_temporal (πŸ₯ˆ27 Β· ⭐ 2.9K Β· πŸ“‰) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- fairness-indicators (πŸ₯‰19 Β· ⭐ 360 Β· πŸ“‰) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 +- litellm (πŸ₯‡45 Β· ⭐ 30K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +- deepface (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ“‰) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +- DeepChem (πŸ₯ˆ34 Β· ⭐ 6.3K Β· πŸ“‰) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT +- VisPy (πŸ₯ˆ34 Β· ⭐ 3.5K Β· πŸ“‰) - High-performance interactive 2D/3D data visualization library. BSD-3 +- anomalib (πŸ₯ˆ31 Β· ⭐ 5.1K Β· πŸ“‰) - An anomaly detection library comprising state-of-the-art.. Apache-2 +- Haiku (πŸ₯‰31 Β· ⭐ 3.1K Β· πŸ“‰) - JAX-based neural network library. Apache-2 +- mpld3 (πŸ₯‰31 Β· ⭐ 2.4K Β· πŸ“‰) - An interactive data visualization tool which brings matplotlib.. BSD-3 +- CLTK (πŸ₯ˆ31 Β· ⭐ 870 Β· πŸ“‰) - The Classical Language Toolkit. MIT +- Sentinelsat (πŸ₯‰24 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- TorchUncertainty (πŸ₯‰20 Β· ⭐ 440 Β· πŸ“‰) - Open-source framework for uncertainty and deep.. Apache-2