cibuildwheel/docs/working-examples.md

---
title: Working examples
---

<!-- START bin/projects.py -->

<!-- this section is generated by bin/projects.py. Don't edit it directly, instead, edit docs/data/projects.yml -->

| 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.  |
| [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][]                       | ![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. |
| [duckdb][]                        | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
| [NCNN][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Matplotlib][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [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. |
| [Kivy][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
| [MemRay][]                        | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
| [Triton][]                        | ![github icon][] | ![linux icon][] | Self hosted runners |
| [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 |
| [Google Benchmark][]              | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
| [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 🚀 |
| [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. |
| [PyOxidizer][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool |
| [cvxpy][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A Python-embedded modeling language for convex optimization problems. |
| [websockets][]                    | ![travisci icon][] | ![apple icon][] ![linux icon][] | Library for building WebSocket servers and clients. Mostly written in Python, with a small C 'speedups' extension module.  |
| [pedalboard][]                    | ![github icon][] | ![windows icon][] ![linux icon][] ![apple icon][] | A Python library for working with audio data and audio plugins by wrapping the [JUCE](https://github.com/juce-framework/JUCE/) C++ framework. Uses cibuildwheel to deploy on as many operating systems and Python versions as possible with only one dependency (any NumPy).  |
| [River][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | 🌊 Online machine learning in Python |
| [UltraJSON][]                     | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings |
| [OpenSpiel][]                     | ![github icon][] | ![apple icon][] ![linux icon][] | OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. |
| [aiortc][]                        | ![github icon][] | ![apple icon][] ![linux icon][] | WebRTC and ORTC implementation for Python using asyncio. |
| [Dependency Injector][]           | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI |
| [pyzmq][]                         | ![github icon][] ![circleci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python bindings for zeromq, the networking library. Uses Cython on CPython and CFFI on PyPy. ARM wheels for linux are built natively on CircleCI.  |
| [Implicit][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels |
| [vispy][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Main repository for Vispy |
| [tinyobjloader][]                 | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader |
| [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. |
| [coverage.py][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The coverage tool for Python |
| [PyCryptodome][]                  | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A self-contained cryptographic library for Python |
| [Line Profiler][]                 | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python |
| [PyYAML][]                        | ![github icon][] | ![apple icon][] | Canonical source repository for PyYAML |
| [PyAV][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. |
| [numexpr][]                       | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more |
| [pikepdf][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by QPDF |
| [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. |
| [envd][]                          | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A machine learning development environment build tool |
| [OpenColorIO][]                   | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A color management framework for visual effects and animation. |
| [SimpleJSON][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | simplejson is a simple, fast, extensible JSON encoder/decoder for Python  |
| [aioquic][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | QUIC and HTTP/3 implementation in Python |
| [Psycopg 3][]                     | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A modern implementation of a PostgreSQL adapter for Python |
| [ruptures][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. |
| [OpenTimelineIO][]                | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
| [PyTables][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
| [google neuroglancer][]           | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
| [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) |
| [AutoPy][]                        | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
| [H3-py][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for H3, a hierarchical hexagonal geospatial indexing system |
| [mosec][]                         | ![github icon][] | ![linux icon][] ![apple icon][] | A machine learning model serving framework powered by Rust |
| [time-machine][]                  | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Time mocking library using only the CPython C API. |
| [Picologging][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
| [markupsafe][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
| [Rtree][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS |
| [pybind11 cmake_example][]        | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
| [KDEpy][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Kernel Density Estimation in Python |
| [dd-trace-py][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Uses custom alternate arch emulation on GitHub |
| [tgcalls][]                       | ![github icon][] | ![apple icon][] ![windows icon][] | Python `pybind11` binding to Telegram's WebRTC library with third party dependencies like `OpenSSL`, `MozJPEG`, `FFmpeg`, etc. |
| [python-rapidjson][]              | ![travisci icon][] ![gitlab icon][] ![appveyor icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson |
| [pybind11 python_example][]       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a Python-based build system |
| [python-snappy][]                 | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library |
| [abess][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A fast best-subset selection library. It uses cibuildwheel to build a large project with C++ extensions. |
| [sourmash][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. |
| [cyvcf2][]                        | ![github icon][] | ![apple icon][] ![linux icon][] | cython + htslib == fast VCF and BCF processing |
| [matrixprofile][]                 | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone. |
| [jq.py][]                         | ![travisci icon][] | ![apple icon][] ![linux icon][] | Python bindings for jq |
| [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 |
| [keyvi][]                         | ![github icon][] | ![linux icon][] ![apple icon][] | FST based key value index highly optimized for size and lookup performance, utilizes ccache action for improved runtime |
| [PyGLM][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
| [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. |
| [TgCrypto][]                      | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
| [iDynTree][]                      | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
| [streaming-form-data][]           | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Streaming parser for multipart/form-data written in Cython |
| [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. |
| [Python-WebRTC][]                 | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
| [power-grid-model][]              | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [pybase64][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python |
| [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. |
| [fathon][]                        | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms |
| [Arbor][]                         | ![github icon][] | ![apple icon][] ![linux icon][] | Arbor is a multi-compartment neuron simulation library; compatible with next-generation accelerators; best-practices applied to research software; focused on community-driven development. Includes a [small script](https://github.com/arbor-sim/arbor/blob/master/scripts/patchwheel.py) patching `rpath` in bundled libraries.  |
| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
| [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. |
| [etebase-py][]                    | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
| [cf-units][]                      | ![github icon][] | ![apple icon][] ![linux icon][] | Units of measure as required by the Climate and Forecast (CF) Metadata Conventions |
| [ninja][]                         | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [numpythia][]                     | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy |
| [Confluent client for Kafka][]    | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` |
| [pyjet][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy |
| [ril][]                           | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A python binding to Rust Imaging library using maturin and Pyo3, utilizes Github Action cache to improve speed. Builds abi3 wheels. |
| [GSD][]                           | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. |
| [SiPM][]                          | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
| [aalink][]                        | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Async Python interface for Ableton Link. |
| [CorrectionLib][]                 | ![github icon][] | ![apple icon][] ![linux icon][] | Structured JSON powered correction library for HEP, designed for the CMS experiment at CERN. |
| [xmlstarlet][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. |
| [werpy][]                         | ![github icon][] | ![windows icon][] ![linux icon][] ![apple icon][] | An ultra-fast python package using optimized dynamic programming to compute the Word Error Rate (WER). |
| [pyinstrument_cext][]             | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
| [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
[pytorch-fairseq]: https://github.com/facebookresearch/fairseq
[NumPy]: https://github.com/numpy/numpy
[Tornado]: https://github.com/tornadoweb/tornado
[duckdb]: https://github.com/duckdb/duckdb
[NCNN]: https://github.com/Tencent/ncnn
[Matplotlib]: https://github.com/matplotlib/matplotlib
[Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[Kivy]: https://github.com/kivy/kivy
[MemRay]: https://github.com/bloomberg/memray
[Triton]: https://github.com/openai/triton
[uvloop]: https://github.com/MagicStack/uvloop
[psutil]: https://github.com/giampaolo/psutil
[Google Benchmark]: https://github.com/google/benchmark
[vaex]: https://github.com/vaexio/vaex
[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
[PyOxidizer]: https://github.com/indygreg/PyOxidizer
[cvxpy]: https://github.com/cvxpy/cvxpy
[websockets]: https://github.com/python-websockets/websockets
[pedalboard]: https://github.com/spotify/pedalboard
[River]: https://github.com/online-ml/river
[UltraJSON]: https://github.com/ultrajson/ultrajson
[OpenSpiel]: https://github.com/google-deepmind/open_spiel
[aiortc]: https://github.com/aiortc/aiortc
[Dependency Injector]: https://github.com/ets-labs/python-dependency-injector
[pyzmq]: https://github.com/zeromq/pyzmq
[Implicit]: https://github.com/benfred/implicit
[vispy]: https://github.com/vispy/vispy
[tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader
[CTranslate2]: https://github.com/OpenNMT/CTranslate2
[coverage.py]: https://github.com/nedbat/coveragepy
[PyCryptodome]: https://github.com/Legrandin/pycryptodome
[Line Profiler]: https://github.com/pyutils/line_profiler
[PyYAML]: https://github.com/yaml/pyyaml
[PyAV]: https://github.com/PyAV-Org/PyAV
[numexpr]: https://github.com/pydata/numexpr
[pikepdf]: https://github.com/pikepdf/pikepdf
[h5py]: https://github.com/h5py/h5py
[Wrapt]: https://github.com/GrahamDumpleton/wrapt
[envd]: https://github.com/tensorchord/envd
[OpenColorIO]: https://github.com/AcademySoftwareFoundation/OpenColorIO
[SimpleJSON]: https://github.com/simplejson/simplejson
[aioquic]: https://github.com/aiortc/aioquic
[Psycopg 3]: https://github.com/psycopg/psycopg
[ruptures]: https://github.com/deepcharles/ruptures
[OpenTimelineIO]: https://github.com/AcademySoftwareFoundation/OpenTimelineIO
[PyTables]: https://github.com/PyTables/PyTables
[google neuroglancer]: https://github.com/google/neuroglancer
[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
[AutoPy]: https://github.com/autopilot-rs/autopy
[H3-py]: https://github.com/uber/h3-py
[mosec]: https://github.com/mosecorg/mosec
[time-machine]: https://github.com/adamchainz/time-machine
[Picologging]: https://github.com/microsoft/picologging
[markupsafe]: https://github.com/pallets/markupsafe
[Rtree]: https://github.com/Toblerity/rtree
[pybind11 cmake_example]: https://github.com/pybind/cmake_example
[KDEpy]: https://github.com/tommyod/KDEpy
[dd-trace-py]: https://github.com/DataDog/dd-trace-py
[tgcalls]: https://github.com/MarshalX/tgcalls
[python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson
[pybind11 python_example]: https://github.com/pybind/python_example
[python-snappy]: https://github.com/intake/python-snappy
[abess]: https://github.com/abess-team/abess
[sourmash]: https://github.com/sourmash-bio/sourmash
[cyvcf2]: https://github.com/brentp/cyvcf2
[matrixprofile]: https://github.com/matrix-profile-foundation/matrixprofile
[jq.py]: https://github.com/mwilliamson/jq.py
[iminuit]: https://github.com/scikit-hep/iminuit
[Tokenizer]: https://github.com/OpenNMT/Tokenizer
[keyvi]: https://github.com/KeyviDev/keyvi
[PyGLM]: https://github.com/Zuzu-Typ/PyGLM
[pillow-heif]: https://github.com/bigcat88/pillow_heif
[TgCrypto]: https://github.com/pyrogram/tgcrypto
[iDynTree]: https://github.com/robotology/idyntree
[streaming-form-data]: https://github.com/siddhantgoel/streaming-form-data
[bx-python]: https://github.com/bxlab/bx-python
[boost-histogram]: https://github.com/scikit-hep/boost-histogram
[Python-WebRTC]: https://github.com/MarshalX/python-webrtc
[power-grid-model]: https://github.com/PowerGridModel/power-grid-model
[pybase64]: https://github.com/mayeut/pybase64
[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
[fathon]: https://github.com/stfbnc/fathon
[Arbor]: https://github.com/arbor-sim/arbor
[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
[polaroid]: https://github.com/daggy1234/polaroid
[clang-format]: https://github.com/ssciwr/clang-format-wheel
[etebase-py]: https://github.com/etesync/etebase-py
[cf-units]: https://github.com/SciTools/cf-units
[ninja]: https://github.com/scikit-build/ninja-python-distributions
[numpythia]: https://github.com/scikit-hep/numpythia
[Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python
[pyjet]: https://github.com/scikit-hep/pyjet
[ril]: https://github.com/Cryptex-github/ril-py
[GSD]: https://github.com/glotzerlab/gsd
[SiPM]: https://github.com/EdoPro98/SimSiPM
[aalink]: https://github.com/artfwo/aalink
[CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
[xmlstarlet]: https://github.com/dimitern/xmlstarlet
[werpy]: https://github.com/analyticsinmotion/werpy
[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
[pybind11 cross build example]: https://github.com/wbarnha/pybind_cmake_example_crossbuild

[appveyor icon]: data/readme_icons/appveyor.svg
[github icon]: data/readme_icons/github.svg
[azurepipelines icon]: data/readme_icons/azurepipelines.svg
[circleci icon]: data/readme_icons/circleci.svg
[gitlab icon]: data/readme_icons/gitlab.svg
[travisci icon]: data/readme_icons/travisci.svg
[cirrusci icon]: data/readme_icons/cirrusci.svg
[windows icon]: data/readme_icons/windows.svg
[apple icon]: data/readme_icons/apple.svg
[linux icon]: data/readme_icons/linux.svg

<!-- END bin/projects.py -->

> Add your repo here! Let us know on [GitHub Discussions](https://github.com/pypa/cibuildwheel/discussions/485), or send a PR, adding your information to `docs/data/projects.yml`.
>
> <sup>I'd like to include notes here to indicate why an example might be interesting to cibuildwheel users - the styles/technologies/techniques used in each. Please include that in future additions!</sup>

<style>
.wy-nav-content {
  /* this table benefits from a wider page */
  max-width: 1000px;
}
.rst-content .section table img {
  /* make the icons darker on this page */
  filter: brightness(0.5);
}
</style>