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| 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. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in 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. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
@@ -23,10 +23,10 @@ title: Working examples
| [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 🚀 |
| [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. |
| [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners |
| [asyncpg][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. |
| [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. |
| [PyGame][] | ![github icon][] | ![apple icon][] ![linux icon][] | 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL. |
| [asyncpg][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. |
| [cmake][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [scikit-image][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Image processing library. Uses cibuildwheel to build and test a project that uses Cython with platform-native code. |
| [twisted-iocpsupport][] | ![github icon][] | ![windows icon][] | A submodule of Twisted that hooks into native C APIs using Cython. |
@@ -49,8 +49,8 @@ title: Working examples
| [numexpr][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more |
| [PyAV][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. |
| [h5py][] | ![azurepipelines icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format. |
| [Wrapt][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python module for decorators, wrappers and monkey patching. |
| [Line Profiler][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python |
| [Wrapt][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python module for decorators, wrappers and monkey patching. |
| [pikepdf][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by qpdf |
| [envd][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | 🏕️ Reproducible development environment for AI/ML |
| [SimpleJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | simplejson is a simple, fast, extensible JSON encoder/decoder for Python |
@@ -60,8 +60,8 @@ title: Working examples
| [ruptures][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. |
| [PyTables][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
| [Psycopg 3][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A modern implementation of a PostgreSQL adapter for Python |
| [Parselmouth][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python interface to the Praat software package, using pybind11, C++17 and CMake, with the core Praat static library built only once and shared between wheels. |
| [CTranslate2][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes libraries from the [Intel oneAPI toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) and CUDA kernels compiled for multiple GPU architectures. |
| [Parselmouth][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python interface to the Praat software package, using pybind11, C++17 and CMake, with the core Praat static library built only once and shared between wheels. |
| [DeepForest][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
| [google neuroglancer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
| [AutoPy][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
@@ -70,8 +70,8 @@ title: Working examples
| [markupsafe][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
| [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
| [python-rapidjson][] | ![travisci icon][] ![gitlab icon][] ![appveyor icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson |
| [mosec][] | ![github icon][] | ![linux icon][] ![apple icon][] | A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine |
| [python-rapidjson][] | ![travisci icon][] ![gitlab icon][] ![appveyor icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson |
| [KDEpy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Kernel Density Estimation in Python |
| [python-snappy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library |
| [time-machine][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Time mocking library using only the CPython C API. |
@@ -88,8 +88,8 @@ title: Working examples
| [PyGLM][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
| [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
| [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. |
| [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
| [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. |
| [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
| [pillow-heif][] | ![github icon][] ![cirrusci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Bindings to libheif library with third party dependencies. Fully automated CI for tests and publishing including Apple Silicon builds. |
| [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python |
@@ -111,11 +111,12 @@ title: Working examples
| [CorrectionLib][] | ![github icon][] | ![apple icon][] ![linux icon][] | Structured JSON powered correction library for HEP, designed for the CMS experiment at CERN. |
| [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. |
| [aalink][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Async Python interface for Ableton Link. |
| [pybind11 cross build example][] | ![github icon][] ![gitlab icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Same as pybind11 cmake_example but used to demo Linux ARM + Windows + macOS builds on GitLab |
[scikit-learn]: https://github.com/scikit-learn/scikit-learn
[NumPy]: https://github.com/numpy/numpy
[pytorch-fairseq]: https://github.com/pytorch/fairseq
[NumPy]: https://github.com/numpy/numpy
[Tornado]: https://github.com/tornadoweb/tornado
[Matplotlib]: https://github.com/matplotlib/matplotlib
[NCNN]: https://github.com/Tencent/ncnn
@@ -128,10 +129,10 @@ title: Working examples
[psutil]: https://github.com/giampaolo/psutil
[vaex]: https://github.com/vaexio/vaex
[Google Benchmark]: https://github.com/google/benchmark
[Apache Beam]: https://github.com/apache/beam
[Triton]: https://github.com/openai/triton
[asyncpg]: https://github.com/MagicStack/asyncpg
[Apache Beam]: https://github.com/apache/beam
[PyGame]: https://github.com/pygame/pygame
[asyncpg]: https://github.com/MagicStack/asyncpg
[cmake]: https://github.com/scikit-build/cmake-python-distributions
[scikit-image]: https://github.com/scikit-image/scikit-image
[twisted-iocpsupport]: https://github.com/twisted/twisted-iocpsupport
@@ -154,8 +155,8 @@ title: Working examples
[numexpr]: https://github.com/pydata/numexpr
[PyAV]: https://github.com/PyAV-Org/PyAV
[h5py]: https://github.com/h5py/h5py
[Wrapt]: https://github.com/GrahamDumpleton/wrapt
[Line Profiler]: https://github.com/pyutils/line_profiler
[Wrapt]: https://github.com/GrahamDumpleton/wrapt
[pikepdf]: https://github.com/pikepdf/pikepdf
[envd]: https://github.com/tensorchord/envd
[SimpleJSON]: https://github.com/simplejson/simplejson
@@ -165,8 +166,8 @@ title: Working examples
[ruptures]: https://github.com/deepcharles/ruptures
[PyTables]: https://github.com/PyTables/PyTables
[Psycopg 3]: https://github.com/psycopg/psycopg
[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
[CTranslate2]: https://github.com/OpenNMT/CTranslate2
[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
[google neuroglancer]: https://github.com/google/neuroglancer
[AutoPy]: https://github.com/autopilot-rs/autopy
@@ -175,8 +176,8 @@ title: Working examples
[markupsafe]: https://github.com/pallets/markupsafe
[Picologging]: https://github.com/microsoft/picologging
[pybind11 cmake_example]: https://github.com/pybind/cmake_example
[python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson
[mosec]: https://github.com/mosecorg/mosec
[python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson
[KDEpy]: https://github.com/tommyod/KDEpy
[python-snappy]: https://github.com/andrix/python-snappy
[time-machine]: https://github.com/adamchainz/time-machine
@@ -193,8 +194,8 @@ title: Working examples
[PyGLM]: https://github.com/Zuzu-Typ/PyGLM
[TgCrypto]: https://github.com/pyrogram/tgcrypto
[bx-python]: https://github.com/bxlab/bx-python
[boost-histogram]: https://github.com/scikit-hep/boost-histogram
[iDynTree]: https://github.com/robotology/idyntree
[boost-histogram]: https://github.com/scikit-hep/boost-histogram
[Python-WebRTC]: https://github.com/MarshalX/python-webrtc
[pillow-heif]: https://github.com/bigcat88/pillow_heif
[pybase64]: https://github.com/mayeut/pybase64
@@ -216,6 +217,7 @@ title: Working examples
[CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
[xmlstarlet]: https://github.com/dimitern/xmlstarlet
[aalink]: https://github.com/artfwo/aalink
[pybind11 cross build example]: https://github.com/wbarnha/pybind_cmake_example_crossbuild
[appveyor icon]: data/readme_icons/appveyor.svg