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[Bot] Update dependencies (#1119)

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Update dependencies

Co-authored-by: cibuildwheel-bot[bot] <83877280+cibuildwheel-bot[bot]@users.noreply.github.com>
This commit is contained in:
cibuildwheel-bot[bot]
2022-06-06 15:53:13 +02:00
committed by GitHub
parent c5c1766614
commit a440ab3655
10 changed files with 158 additions and 158 deletions
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README.md
+4 -4
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@@ -152,23 +152,23 @@ Here are some repos that use cibuildwheel.
| Name | CI | OS | Notes | | Name | CI | OS | Notes |
|-----------------------------------|----|----|:------| |-----------------------------------|----|----|:------|
| [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. | | [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. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. | | [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | | [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform | | [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [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. | | [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. |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. | | [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
| [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints | | [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
[scikit-learn]: https://github.com/scikit-learn/scikit-learn [scikit-learn]: https://github.com/scikit-learn/scikit-learn
[Tornado]: https://github.com/tornadoweb/tornado
[NumPy]: https://github.com/numpy/numpy [NumPy]: https://github.com/numpy/numpy
[Tornado]: https://github.com/tornadoweb/tornado
[pytorch-fairseq]: https://github.com/pytorch/fairseq [pytorch-fairseq]: https://github.com/pytorch/fairseq
[Matplotlib]: https://github.com/matplotlib/matplotlib [Matplotlib]: https://github.com/matplotlib/matplotlib
[Kivy]: https://github.com/kivy/kivy
[NCNN]: https://github.com/Tencent/ncnn [NCNN]: https://github.com/Tencent/ncnn
[Kivy]: https://github.com/kivy/kivy
[Prophet]: https://github.com/facebook/prophet [Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[pydantic]: https://github.com/samuelcolvin/pydantic [pydantic]: https://github.com/samuelcolvin/pydantic
cibuildwheel/resources/build-platforms.toml
+6 -6
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@@ -84,9 +84,9 @@ python_configurations = [
{ identifier = "cp310-macosx_x86_64", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" }, { identifier = "cp310-macosx_x86_64", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" },
{ identifier = "cp310-macosx_arm64", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" }, { identifier = "cp310-macosx_arm64", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" },
{ identifier = "cp310-macosx_universal2", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" }, { identifier = "cp310-macosx_universal2", version = "3.10", url = "https://www.python.org/ftp/python/3.10.4/python-3.10.4-macos11.pkg" },
{ identifier = "cp311-macosx_x86_64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b1-macos11.pkg" }, { identifier = "cp311-macosx_x86_64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b3-macos11.pkg" },
{ identifier = "cp311-macosx_arm64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b1-macos11.pkg" }, { identifier = "cp311-macosx_arm64", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b3-macos11.pkg" },
{ identifier = "cp311-macosx_universal2", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b1-macos11.pkg" }, { identifier = "cp311-macosx_universal2", version = "3.11", url = "https://www.python.org/ftp/python/3.11.0/python-3.11.0b3-macos11.pkg" },
{ identifier = "pp37-macosx_x86_64", version = "3.7", url = "https://downloads.python.org/pypy/pypy3.7-v7.3.9-osx64.tar.bz2" }, { identifier = "pp37-macosx_x86_64", version = "3.7", url = "https://downloads.python.org/pypy/pypy3.7-v7.3.9-osx64.tar.bz2" },
{ identifier = "pp38-macosx_x86_64", version = "3.8", url = "https://downloads.python.org/pypy/pypy3.8-v7.3.9-osx64.tar.bz2" }, { identifier = "pp38-macosx_x86_64", version = "3.8", url = "https://downloads.python.org/pypy/pypy3.8-v7.3.9-osx64.tar.bz2" },
{ identifier = "pp39-macosx_x86_64", version = "3.9", url = "https://downloads.python.org/pypy/pypy3.9-v7.3.9-osx64.tar.bz2" }, { identifier = "pp39-macosx_x86_64", version = "3.9", url = "https://downloads.python.org/pypy/pypy3.9-v7.3.9-osx64.tar.bz2" },
@@ -104,11 +104,11 @@ python_configurations = [
{ identifier = "cp39-win_amd64", version = "3.9.13", arch = "64" }, { identifier = "cp39-win_amd64", version = "3.9.13", arch = "64" },
{ identifier = "cp310-win32", version = "3.10.4", arch = "32" }, { identifier = "cp310-win32", version = "3.10.4", arch = "32" },
{ identifier = "cp310-win_amd64", version = "3.10.4", arch = "64" }, { identifier = "cp310-win_amd64", version = "3.10.4", arch = "64" },
{ identifier = "cp311-win32", version = "3.11.0-b1", arch = "32" }, { identifier = "cp311-win32", version = "3.11.0-b3", arch = "32" },
{ identifier = "cp311-win_amd64", version = "3.11.0-b1", arch = "64" }, { identifier = "cp311-win_amd64", version = "3.11.0-b3", arch = "64" },
{ identifier = "cp39-win_arm64", version = "3.9.10", arch = "ARM64" }, { identifier = "cp39-win_arm64", version = "3.9.10", arch = "ARM64" },
{ identifier = "cp310-win_arm64", version = "3.10.4", arch = "ARM64" }, { identifier = "cp310-win_arm64", version = "3.10.4", arch = "ARM64" },
{ identifier = "cp311-win_arm64", version = "3.11.0-b1", arch = "ARM64" }, { identifier = "cp311-win_arm64", version = "3.11.0-b3", arch = "ARM64" },
{ identifier = "pp37-win_amd64", version = "3.7", arch = "64", url = "https://downloads.python.org/pypy/pypy3.7-v7.3.9-win64.zip" }, { identifier = "pp37-win_amd64", version = "3.7", arch = "64", url = "https://downloads.python.org/pypy/pypy3.7-v7.3.9-win64.zip" },
{ identifier = "pp38-win_amd64", version = "3.8", arch = "64", url = "https://downloads.python.org/pypy/pypy3.8-v7.3.9-win64.zip" }, { identifier = "pp38-win_amd64", version = "3.8", arch = "64", url = "https://downloads.python.org/pypy/pypy3.8-v7.3.9-win64.zip" },
{ identifier = "pp39-win_amd64", version = "3.9", arch = "64", url = "https://downloads.python.org/pypy/pypy3.9-v7.3.9-win64.zip" }, { identifier = "pp39-win_amd64", version = "3.9", arch = "64", url = "https://downloads.python.org/pypy/pypy3.9-v7.3.9-win64.zip" },
cibuildwheel/resources/constraints-python310.txt
+2 -2
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@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
distlib==0.3.4 distlib==0.3.4
# via virtualenv # via virtualenv
filelock==3.7.0 filelock==3.7.1
# via virtualenv # via virtualenv
platformdirs==2.5.2 platformdirs==2.5.2
# via virtualenv # via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate # delocate
# The following packages are considered to be unsafe in a requirements file: # The following packages are considered to be unsafe in a requirements file:
pip==22.1.1 pip==22.1.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2 setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
cibuildwheel/resources/constraints-python311.txt
+2 -2
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@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
distlib==0.3.4 distlib==0.3.4
# via virtualenv # via virtualenv
filelock==3.7.0 filelock==3.7.1
# via virtualenv # via virtualenv
platformdirs==2.5.2 platformdirs==2.5.2
# via virtualenv # via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate # delocate
# The following packages are considered to be unsafe in a requirements file: # The following packages are considered to be unsafe in a requirements file:
pip==22.1.1 pip==22.1.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2 setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
cibuildwheel/resources/constraints-python37.txt
+2 -2
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@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
distlib==0.3.4 distlib==0.3.4
# via virtualenv # via virtualenv
filelock==3.7.0 filelock==3.7.1
# via virtualenv # via virtualenv
importlib-metadata==4.11.4 importlib-metadata==4.11.4
# via virtualenv # via virtualenv
@@ -30,7 +30,7 @@ zipp==3.8.0
# via importlib-metadata # via importlib-metadata
# The following packages are considered to be unsafe in a requirements file: # The following packages are considered to be unsafe in a requirements file:
pip==22.1.1 pip==22.1.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2 setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
cibuildwheel/resources/constraints-python38.txt
+2 -2
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@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
distlib==0.3.4 distlib==0.3.4
# via virtualenv # via virtualenv
filelock==3.7.0 filelock==3.7.1
# via virtualenv # via virtualenv
platformdirs==2.5.2 platformdirs==2.5.2
# via virtualenv # via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate # delocate
# The following packages are considered to be unsafe in a requirements file: # The following packages are considered to be unsafe in a requirements file:
pip==22.1.1 pip==22.1.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2 setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
cibuildwheel/resources/constraints-python39.txt
+2 -2
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@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
distlib==0.3.4 distlib==0.3.4
# via virtualenv # via virtualenv
filelock==3.7.0 filelock==3.7.1
# via virtualenv # via virtualenv
platformdirs==2.5.2 platformdirs==2.5.2
# via virtualenv # via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate # delocate
# The following packages are considered to be unsafe in a requirements file: # The following packages are considered to be unsafe in a requirements file:
pip==22.1.1 pip==22.1.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2 setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
cibuildwheel/resources/constraints.txt
+2 -2
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@@ -8,7 +8,7 @@ delocate==0.10.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
distlib==0.3.4 distlib==0.3.4
# via virtualenv # via virtualenv
filelock==3.7.0 filelock==3.7.1
# via virtualenv # via virtualenv
platformdirs==2.5.2 platformdirs==2.5.2
# via virtualenv # via virtualenv
@@ -24,7 +24,7 @@ wheel==0.37.1
# delocate # delocate
# The following packages are considered to be unsafe in a requirements file: # The following packages are considered to be unsafe in a requirements file:
pip==22.1.1 pip==22.1.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
setuptools==62.3.2 setuptools==62.3.2
# via -r cibuildwheel/resources/constraints.in # via -r cibuildwheel/resources/constraints.in
cibuildwheel/resources/pinned_docker_images.cfg
+27 -27
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@@ -1,43 +1,43 @@
[x86_64] [x86_64]
manylinux1 = quay.io/pypa/manylinux1_x86_64:2022-05-22-74adb27 manylinux1 = quay.io/pypa/manylinux1_x86_64:2022-06-05-89b8e6d
manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-05-22-fbe07ea manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2022-05-22-fbe07ea musllinux_1_1 = quay.io/pypa/musllinux_1_1_x86_64:2022-06-05-61145a4
[i686] [i686]
manylinux1 = quay.io/pypa/manylinux1_i686:2022-05-22-74adb27 manylinux1 = quay.io/pypa/manylinux1_i686:2022-06-05-89b8e6d
manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-05-22-fbe07ea manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2022-05-22-fbe07ea musllinux_1_1 = quay.io/pypa/musllinux_1_1_i686:2022-06-05-61145a4
[pypy_x86_64] [pypy_x86_64]
manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-05-22-fbe07ea manylinux2010 = quay.io/pypa/manylinux2010_x86_64:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_x86_64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_x86_64:2022-06-05-61145a4
[pypy_i686] [pypy_i686]
manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-05-22-fbe07ea manylinux2010 = quay.io/pypa/manylinux2010_i686:2022-06-05-61145a4
manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_i686:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_i686:2022-06-05-61145a4
[aarch64] [aarch64]
manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2022-05-22-fbe07ea musllinux_1_1 = quay.io/pypa/musllinux_1_1_aarch64:2022-06-05-61145a4
[ppc64le] [ppc64le]
manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_ppc64le:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_ppc64le:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2022-05-22-fbe07ea musllinux_1_1 = quay.io/pypa/musllinux_1_1_ppc64le:2022-06-05-61145a4
[s390x] [s390x]
manylinux2014 = quay.io/pypa/manylinux2014_s390x:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_s390x:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_s390x:2022-06-05-61145a4
musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2022-05-22-fbe07ea musllinux_1_1 = quay.io/pypa/musllinux_1_1_s390x:2022-06-05-61145a4
[pypy_aarch64] [pypy_aarch64]
manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-05-22-fbe07ea manylinux2014 = quay.io/pypa/manylinux2014_aarch64:2022-06-05-61145a4
manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-05-22-fbe07ea manylinux_2_24 = quay.io/pypa/manylinux_2_24_aarch64:2022-06-05-61145a4
docs/working-examples.md
+109 -109
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@@ -9,18 +9,18 @@ title: Working examples
| Name | CI | OS | Notes | | Name | CI | OS | Notes |
|-----------------------------------|----|----|:------| |-----------------------------------|----|----|:------|
| [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. | | [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. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. | | [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | | [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform | | [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [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. | | [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. |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. | | [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
| [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints | | [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
| [uvloop][] | ![github icon][] | ![apple icon][] ![linux icon][] | Ultra fast asyncio event loop. | | [uvloop][] | ![github icon][] | ![apple icon][] ![linux icon][] | Ultra fast asyncio event loop. |
| [psutil][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python | | [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
| [psutil][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
| [vaex][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 | | [vaex][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 |
| [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library | | [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
| [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. | | [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. |
@@ -84,8 +84,8 @@ title: Working examples
| [iminuit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Jupyter-friendly Python interface for C++ MINUIT2 | | [iminuit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Jupyter-friendly Python interface for C++ MINUIT2 |
| [Tokenizer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support | | [Tokenizer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support |
| [PyGLM][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python | | [PyGLM][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
| [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
| [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. | | [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. |
| [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
| [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 | | [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
| [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. | | [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
| [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 | | [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
@@ -96,12 +96,12 @@ title: Working examples
| [Imagecodecs (fork)][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. | | [Imagecodecs (fork)][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. |
| [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. | | [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. |
| [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. | | [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [pyjet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy | | [pyjet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy |
| [numpythia][] | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy | | [numpythia][] | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy |
| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 | | [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [pillow-heif][] | ![github icon][] | ![apple icon][] ![linux icon][] | Python CFFI binding to libheif library with third party dependencies like `libde265`, `x265`, `libaom` with test & publishing on PyPi. | | [pillow-heif][] | ![github icon][] | ![apple icon][] ![linux icon][] | Python CFFI binding to libheif library with third party dependencies like `libde265`, `x265`, `libaom` with test & publishing on PyPi. |
| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [GSD][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. | | [GSD][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. |
| [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies | | [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
| [xmlstarlet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. | | [xmlstarlet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. |
@@ -109,18 +109,18 @@ title: Working examples
| [SiPM][] | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. | | [SiPM][] | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
[scikit-learn]: https://github.com/scikit-learn/scikit-learn [scikit-learn]: https://github.com/scikit-learn/scikit-learn
[Tornado]: https://github.com/tornadoweb/tornado
[NumPy]: https://github.com/numpy/numpy [NumPy]: https://github.com/numpy/numpy
[Tornado]: https://github.com/tornadoweb/tornado
[pytorch-fairseq]: https://github.com/pytorch/fairseq [pytorch-fairseq]: https://github.com/pytorch/fairseq
[Matplotlib]: https://github.com/matplotlib/matplotlib [Matplotlib]: https://github.com/matplotlib/matplotlib
[Kivy]: https://github.com/kivy/kivy
[NCNN]: https://github.com/Tencent/ncnn [NCNN]: https://github.com/Tencent/ncnn
[Kivy]: https://github.com/kivy/kivy
[Prophet]: https://github.com/facebook/prophet [Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[pydantic]: https://github.com/samuelcolvin/pydantic [pydantic]: https://github.com/samuelcolvin/pydantic
[uvloop]: https://github.com/MagicStack/uvloop [uvloop]: https://github.com/MagicStack/uvloop
[psutil]: https://github.com/giampaolo/psutil
[MemRay]: https://github.com/bloomberg/memray [MemRay]: https://github.com/bloomberg/memray
[psutil]: https://github.com/giampaolo/psutil
[vaex]: https://github.com/vaexio/vaex [vaex]: https://github.com/vaexio/vaex
[Google Benchmark]: https://github.com/google/benchmark [Google Benchmark]: https://github.com/google/benchmark
[Apache Beam]: https://github.com/apache/beam [Apache Beam]: https://github.com/apache/beam
@@ -184,8 +184,8 @@ title: Working examples
[iminuit]: https://github.com/scikit-hep/iminuit [iminuit]: https://github.com/scikit-hep/iminuit
[Tokenizer]: https://github.com/OpenNMT/Tokenizer [Tokenizer]: https://github.com/OpenNMT/Tokenizer
[PyGLM]: https://github.com/Zuzu-Typ/PyGLM [PyGLM]: https://github.com/Zuzu-Typ/PyGLM
[bx-python]: https://github.com/bxlab/bx-python
[boost-histogram]: https://github.com/scikit-hep/boost-histogram [boost-histogram]: https://github.com/scikit-hep/boost-histogram
[bx-python]: https://github.com/bxlab/bx-python
[iDynTree]: https://github.com/robotology/idyntree [iDynTree]: https://github.com/robotology/idyntree
[TgCrypto]: https://github.com/pyrogram/tgcrypto [TgCrypto]: https://github.com/pyrogram/tgcrypto
[Python-WebRTC]: https://github.com/MarshalX/python-webrtc [Python-WebRTC]: https://github.com/MarshalX/python-webrtc
@@ -196,12 +196,12 @@ title: Working examples
[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build [Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
[polaroid]: https://github.com/daggy1234/polaroid [polaroid]: https://github.com/daggy1234/polaroid
[clang-format]: https://github.com/ssciwr/clang-format-wheel [clang-format]: https://github.com/ssciwr/clang-format-wheel
[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
[pyjet]: https://github.com/scikit-hep/pyjet [pyjet]: https://github.com/scikit-hep/pyjet
[numpythia]: https://github.com/scikit-hep/numpythia [numpythia]: https://github.com/scikit-hep/numpythia
[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example [pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
[ninja]: https://github.com/scikit-build/ninja-python-distributions
[pillow-heif]: https://github.com/bigcat88/pillow_heif [pillow-heif]: https://github.com/bigcat88/pillow_heif
[ninja]: https://github.com/scikit-build/ninja-python-distributions
[GSD]: https://github.com/glotzerlab/gsd [GSD]: https://github.com/glotzerlab/gsd
[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext [pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
[xmlstarlet]: https://github.com/dimitern/xmlstarlet [xmlstarlet]: https://github.com/dimitern/xmlstarlet
@@ -218,105 +218,105 @@ title: Working examples
[apple icon]: data/readme_icons/apple.svg [apple icon]: data/readme_icons/apple.svg
[linux icon]: data/readme_icons/linux.svg [linux icon]: data/readme_icons/linux.svg
<!-- scikit-learn: 50139, last pushed 0 days ago --> <!-- scikit-learn: 50318, last pushed 0 days ago -->
<!-- Tornado: 20546, last pushed 18 days ago --> <!-- NumPy: 20611, last pushed 0 days ago -->
<!-- NumPy: 20488, last pushed 0 days ago --> <!-- Tornado: 20565, last pushed 1 days ago -->
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<!-- Matplotlib: 15520, last pushed 0 days ago --> <!-- Matplotlib: 15597, last pushed 0 days ago -->
<!-- Kivy: 14633, last pushed 5 days ago --> <!-- NCNN: 14686, last pushed 0 days ago -->
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<!-- Prophet: 14454, last pushed 0 days ago --> <!-- Prophet: 14519, last pushed 0 days ago -->
<!-- MyPy: 13130, last pushed 0 days ago --> <!-- MyPy: 13207, last pushed 0 days ago -->
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<!-- vaex: 7075, last pushed 2 days ago --> <!-- vaex: 7100, last pushed 1 days ago -->
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<!-- Confluent client for Kafka: 2780, last pushed 2 days ago --> <!-- Confluent client for Kafka: 2797, last pushed 2 days ago -->
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<!-- Tokenizer: 179, last pushed 76 days ago --> <!-- Tokenizer: 183, last pushed 90 days ago -->
<!-- PyGLM: 139, last pushed 55 days ago --> <!-- PyGLM: 142, last pushed 69 days ago -->
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<!-- iDynTree: 105, last pushed 3 days ago --> <!-- iDynTree: 105, last pushed 4 days ago -->
<!-- TgCrypto: 104, last pushed 79 days ago --> <!-- TgCrypto: 104, last pushed 93 days ago -->
<!-- Python-WebRTC: 89, last pushed 73 days ago --> <!-- Python-WebRTC: 89, last pushed 87 days ago -->
<!-- pybase64: 83, last pushed 3 days ago --> <!-- pybase64: 84, last pushed 0 days ago -->
<!-- Arbor: 72, last pushed 2 days ago --> <!-- Arbor: 72, last pushed 2 days ago -->
<!-- fathon: 59, last pushed 186 days ago --> <!-- fathon: 61, last pushed 3 days ago -->
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<!-- Imagecodecs (fork): 43, last pushed 5 days ago --> <!-- Imagecodecs (fork): 44, last pushed 19 days ago -->
<!-- polaroid: 38, last pushed 11 days ago --> <!-- polaroid: 40, last pushed 25 days ago -->
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<!-- numpythia: 33, last pushed 20 days ago --> <!-- pyjet: 33, last pushed 11 days ago -->
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<!-- xmlstarlet: 9, last pushed 6 days ago --> <!-- xmlstarlet: 9, last pushed 6 days ago -->
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<!-- SiPM: 6, last pushed 2 days ago --> <!-- SiPM: 6, last pushed 4 days ago -->
<!-- END bin/projects.py --> <!-- END bin/projects.py -->