A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
- Aim: An easy-to-use and performant open-source experiment tracker.
- ClearML: Automagical experiment tracking, environments and results
- Comet: Manage and optimize the entire ML lifecycle, from experiment tracking to model production monitoring.
- DVC Studio: A web application that works with the data, metrics and hyperparameters that you add to your ML project repositories.
- Guild AI: Open source experiment tracking, pipeline automation, and hyperparameter tuning.
- Keepsake: Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
- mlflow: Open source platform for the machine learning lifecycle.
- Neptune: A lightweight experiment management tool that fits any workflow.
- Polyaxon: Open-source ML experiemnts management platform.
- Sacred: A tool to configure, organize, log and reproduce computational experiments.
- Tensorboard: Provides the visualization and tooling needed for machine learning experimentation.
- TraceML: Engine for ML/Data tracking, visualization, dashboards, and model UI.
- Weights and Biases: A tool for visualizing and tracking your machine learning experiments.