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[Bot] Update dependencies (#1581)
Update dependencies Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
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README.md

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@@ -163,7 +163,7 @@ Here are some repos that use cibuildwheel.
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| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. |
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| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
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| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
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| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
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| [Tornado][] | ![github icon][] | ![linux icon][] ![apple icon][] ![windows icon][] | Tornado is a Python web framework and asynchronous networking library. Uses stable ABI for a small C extension. |
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| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
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| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
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| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |

cibuildwheel/resources/constraints-python310.txt

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# The following packages are considered to be unsafe in a requirements file:
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pip==23.2.1
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# via -r cibuildwheel/resources/constraints.in
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setuptools==68.0.0
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setuptools==68.1.2
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# via -r cibuildwheel/resources/constraints.in

cibuildwheel/resources/constraints-python311.txt

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@@ -24,5 +24,5 @@ wheel==0.41.1
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# The following packages are considered to be unsafe in a requirements file:
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pip==23.2.1
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# via -r cibuildwheel/resources/constraints.in
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setuptools==68.0.0
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setuptools==68.1.2
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# via -r cibuildwheel/resources/constraints.in

cibuildwheel/resources/constraints-python312.txt

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@@ -24,5 +24,5 @@ wheel==0.41.1
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# The following packages are considered to be unsafe in a requirements file:
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pip==23.2.1
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# via -r cibuildwheel/resources/constraints.in
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setuptools==68.0.0
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setuptools==68.1.2
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# via -r cibuildwheel/resources/constraints.in

cibuildwheel/resources/constraints-python38.txt

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# The following packages are considered to be unsafe in a requirements file:
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pip==23.2.1
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# via -r cibuildwheel/resources/constraints.in
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setuptools==68.0.0
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setuptools==68.1.2
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# via -r cibuildwheel/resources/constraints.in

cibuildwheel/resources/constraints-python39.txt

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# The following packages are considered to be unsafe in a requirements file:
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pip==23.2.1
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# via -r cibuildwheel/resources/constraints.in
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setuptools==68.0.0
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setuptools==68.1.2
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# via -r cibuildwheel/resources/constraints.in

cibuildwheel/resources/constraints.txt

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# The following packages are considered to be unsafe in a requirements file:
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pip==23.2.1
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# via -r cibuildwheel/resources/constraints.in
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setuptools==68.0.0
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setuptools==68.1.2
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# via -r cibuildwheel/resources/constraints.in
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[x86_64]
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manylinux1 = quay.io/pypa/manylinux1_x86_64:2023-08-06-0a0ac62
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manylinux1 = quay.io/pypa/manylinux1_x86_64:2023-08-20-dcf13fc
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manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2023-08-13-d68f0ef
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2023-08-13-d68f0ef
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2023-08-13-d68f0ef
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2023-08-20-323dd42
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2023-08-20-323dd42
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_x86_64:2023-08-20-323dd42
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[i686]
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manylinux1 = quay.io/pypa/manylinux1_i686:2023-08-06-0a0ac62
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manylinux1 = quay.io/pypa/manylinux1_i686:2023-08-20-dcf13fc
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manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2023-08-13-d68f0ef
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2023-08-13-d68f0ef
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2023-08-20-323dd42
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_i686:2023-08-20-323dd42
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[pypy_x86_64]
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manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2023-08-13-d68f0ef
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_x86_64:2023-08-20-323dd42
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[pypy_i686]
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manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-08-05-4535177
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_i686:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-12-26-0d38463
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[aarch64]
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-13-d68f0ef
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2023-08-13-d68f0ef
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2023-08-13-d68f0ef
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-20-323dd42
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2023-08-20-323dd42
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_aarch64:2023-08-20-323dd42
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[ppc64le]
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manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2023-08-13-d68f0ef
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2023-08-13-d68f0ef
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2023-08-13-d68f0ef
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_ppc64le:2023-08-20-323dd42
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2023-08-20-323dd42
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_ppc64le:2023-08-20-323dd42
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[s390x]
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manylinux2014 = quay.io/pypa/manylinux2014_s390x:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_s390x:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2023-08-13-d68f0ef
47-
musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2023-08-13-d68f0ef
48-
musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2023-08-13-d68f0ef
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_s390x:2023-08-20-323dd42
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musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2023-08-20-323dd42
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musllinux_1_2 = quay.io/pypa/musllinux_1_2_s390x:2023-08-20-323dd42
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[pypy_aarch64]
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-13-d68f0ef
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manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2023-08-20-323dd42
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manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-12-26-0d38463
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-13-d68f0ef
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manylinux_2_28 = quay.io/pypa/manylinux_2_28_aarch64:2023-08-20-323dd42
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docs/working-examples.md

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| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. |
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| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
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| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
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| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
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| [Tornado][] | ![github icon][] | ![linux icon][] ![apple icon][] ![windows icon][] | Tornado is a Python web framework and asynchronous networking library. Uses stable ABI for a small C extension. |
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| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
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| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
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| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
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| [DeepForest][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
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| [AutoPy][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
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| [H3-py][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for H3, a hierarchical hexagonal geospatial indexing system |
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| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS ¶ |
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| [mosec][] | ![github icon][] | ![linux icon][] ![apple icon][] | A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine |
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| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS ¶ |
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| [markupsafe][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
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| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
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| [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
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[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
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[AutoPy]: https://github.com/autopilot-rs/autopy
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[H3-py]: https://github.com/uber/h3-py
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[Rtree]: https://github.com/Toblerity/rtree
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[mosec]: https://github.com/mosecorg/mosec
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[Rtree]: https://github.com/Toblerity/rtree
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[markupsafe]: https://github.com/pallets/markupsafe
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[Picologging]: https://github.com/microsoft/picologging
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[pybind11 cmake_example]: https://github.com/pybind/cmake_example

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