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Joe Rickerby
2024-02-02 17:01:22 +00:00
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docs/changelog.md
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@@ -4,6 +4,27 @@ title: Changelog
# Changelog
### v2.16.5
_30 January 2024_
- 🐛 Fix an incompatibility with the GitHub Action and new GitHub Runner images for Windows that bundle Powershell 7.3+ (#1741)
- 🛠 Preliminary support for new `macos-14` arm64 runners (#1743)
### v2.16.4
_28 January 2024_
- 🛠 Update manylinux pins to upgrade from a problematic PyPy version. (#1737)
### v2.16.3
_26 January 2024_
- 🐛 Fix a bug when building from sdist, where relative paths to files in the package didn't work because the working directory was wrong (#1687)
- 🛠 Adds the ability to disable mounting the host filesystem in containers to `/host`, through the `disable_host_mount` suboption on [`CIBW_CONTAINER_ENGINE`](https://cibuildwheel.readthedocs.io/en/stable/options/#container-engine).
- 📚 A lot of docs improvements! (#1708, #1705, #1686, #1679, #1667, #1665)
### v2.16.2
_3 October 2023_
docs/data/projects.schema.json
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@@ -0,0 +1,37 @@
{
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "https://github.com/pypa/cibuildwheel/blob/main/cibuildwheel/docs/data/projects.schema.json",
"type": "array",
"description": "The projects file for cibuildwheel",
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"name": { "type": "string" },
"gh": { "type": "string", "pattern": "[^/]*/[^/]*" },
"stars": { "$ref": "#/items/properties/gh" },
"pypi": { "type": "string" },
"notes": { "type": "string" },
"ci": {
"type": "array",
"items": {
"enum": [
"github",
"travisci",
"appveyor",
"circleci",
"gitlab",
"cirrusci",
"azurepipelines"
]
}
},
"ci_config": { "type": "string" },
"os": {
"type": "array",
"items": { "enum": ["windows", "apple", "linux"] }
}
},
"required": ["name", "gh", "ci", "os"]
}
}
docs/data/projects.yml
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@@ -603,13 +603,13 @@
gh: tensorchord/envd
ci: [github]
os: [apple, linux, windows]
note: A machine learning development environment build tool
notes: A machine learning development environment build tool
- name: mosec
gh: mosecorg/mosec
ci: [github]
os: [linux, apple]
note: A machine learning model serving framework powered by Rust
notes: A machine learning model serving framework powered by Rust
- name: ril
gh: Cryptex-github/ril-py
@@ -638,3 +638,10 @@
os: [windows, linux, apple]
pypi: werpy
notes: An ultra-fast python package using optimized dynamic programming to compute the Word Error Rate (WER).
- name: keyvi
gh: KeyviDev/keyvi
ci: [github]
os: [linux, apple]
pypi: keyvi
notes: FST based key value index highly optimized for size and lookup performance, utilizes ccache action for improved runtime
docs/deliver-to-pypi.md
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@@ -56,8 +56,9 @@ well as several useful actions. Alongside your existing job(s) that runs cibuild
- name: Build SDist
run: pipx run build --sdist
- uses: actions/upload-artifact@v3
- uses: actions/upload-artifact@v4
with:
name: cibw-sdist
path: dist/*.tar.gz
```
@@ -74,10 +75,11 @@ This requires setting this GitHub workflow in your project's PyPI settings (for
runs-on: ubuntu-latest
if: github.event_name == 'release' && github.event.action == 'published'
steps:
- uses: actions/download-artifact@v3
- uses: actions/download-artifact@v4
with:
name: artifact
pattern: cibw-*
path: dist
merge-multiple: true
- uses: pypa/gh-action-pypi-publish@release/v1
```
docs/diagram.md → docs/diagram.html
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docs/extra.css
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@@ -315,3 +315,9 @@ h1, h2, h3, h4, h5, h6 {
.wy-menu-vertical li.current a {
}
/* word wrap in table cells */
.wy-table-responsive table td, .wy-table-responsive table th {
white-space: normal;
line-height: 1.4;
}
docs/faq.md
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@@ -14,7 +14,7 @@ Linux wheels are built in [`manylinux`/`musllinux` containers](https://github.co
`cibuildwheel` supports this by providing the [`CIBW_ENVIRONMENT`](options.md#environment) and [`CIBW_BEFORE_ALL`](options.md#before-all) options to setup the build environment inside the running container.
- The project directory is copied into the container as `/project`, the output directory for the wheels to be copied out is `/output`. In general, this is handled transparently by `cibuildwheel`. For a more finegrained level of control however, the root of the host file system is mounted as `/host`, allowing for example to access shared files, caches, etc. on the host file system. Note that `/host` is not available on CircleCI due to their Docker policies.
- The project directory is copied into the container as `/project`, the output directory for the wheels to be copied out is `/output`. In general, this is handled transparently by `cibuildwheel`. For a more finegrained level of control however, the root of the host file system is mounted as `/host`, allowing for example to access shared files, caches, etc. on the host file system. Note that `/host` is not available on CircleCI and GitLab CI due to their Docker policies.
- Alternative Docker images can be specified with the `CIBW_MANYLINUX_*_IMAGE`/`CIBW_MUSLLINUX_*_IMAGE` options to allow for a custom, preconfigured build environment for the Linux builds. See [options](options.md#linux-image) for more details.
@@ -142,7 +142,7 @@ There are two suggested methods for keeping cibuildwheel up to date that instead
If you use GitHub Actions for builds, you can use cibuildwheel as an action:
```yaml
uses: pypa/cibuildwheel@v2.16.2
uses: pypa/cibuildwheel@v2.16.5
```
This is a composite step that just runs cibuildwheel using pipx. You can set command-line options as `with:` parameters, and use `env:` as normal.
@@ -164,7 +164,7 @@ The second option, and the only one that supports other CI systems, is using a `
```bash
# requirements-cibw.txt
cibuildwheel==2.16.2
cibuildwheel==2.16.5
```
Then your install step would have `python -m pip install -r requirements-cibw.txt` in it. Your `.github/dependabot.yml` file could look like this:
@@ -307,7 +307,7 @@ Solutions to this vary, but the simplest is to use pipx:
# most runners have pipx preinstalled, but in case you don't
python3 -m pip install pipx
pipx run cibuildwheel==2.16.2 --output-dir wheelhouse
pipx run cibuildwheel==2.16.5 --output-dir wheelhouse
pipx run twine upload wheelhouse/*.whl
```
docs/index.md
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@@ -18,7 +18,7 @@ How it works
This diagram summarises the steps that cibuildwheel takes on each platform to build your package's wheels.
{%
include-markdown "diagram.md"
include "diagram.html"
%}
This isn't exhaustive, for a full list of the things cibuildwheel can do, check the [options](options.md) page.
docs/options.md
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@@ -1071,8 +1071,8 @@ Auditwheel detects the version of the manylinux / musllinux standard in the imag
Options:
- `docker[;create_args: ...]`
- `podman[;create_args: ...]`
- `docker[;create_args: ...][;disable_host_mount: true/false]`
- `podman[;create_args: ...][;disable_host_mount: true/false]`
Default: `docker`
@@ -1081,11 +1081,13 @@ Set the container engine to use. Docker is the default, or you can switch to
running and `docker` available on PATH. To use Podman, it needs to be
installed and `podman` available on PATH.
Arguments can be supplied to the container engine. Currently, the only option
that's customisable is 'create_args'. Parameters to create_args are
space-separated strings, which are passed to the container engine on the
command line when it's creating the container. If you want to include spaces
inside a parameter, use shell-style quoting.
Options can be supplied after the name.
| Option name | Description
|---|---
| `create_args` | Space-separated strings, which are passed to the container engine on the command line when it's creating the container. If you want to include spaces inside a parameter, use shell-style quoting.
| `disable_host_mount` | By default, cibuildwheel will mount the root of the host filesystem as a volume at `/host` in the container. To disable the host mount, pass `true` to this option.
!!! tip
@@ -1106,6 +1108,9 @@ inside a parameter, use shell-style quoting.
# pass command line options to 'docker create'
CIBW_CONTAINER_ENGINE: "docker; create_args: --gpus all"
# disable the /host mount
CIBW_CONTAINER_ENGINE: "docker; disable_host_mount: true"
```
!!! tab examples "pyproject.toml"
@@ -1117,6 +1122,9 @@ inside a parameter, use shell-style quoting.
# pass command line options to 'docker create'
container-engine = { name = "docker", create-args = ["--gpus", "all"]}
# disable the /host mount
container-engine = { name = "docker", disable-host-mount = true }
```
docs/setup.md
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@@ -61,7 +61,7 @@ You should see the builds taking place. You can experiment with options using en
```sh
# run a command to set up the build system
export CIBW_BEFORE_ALL='apt install libpng-dev'
export CIBW_BEFORE_ALL='uname -a'
cibuildwheel --platform linux
```
@@ -69,7 +69,7 @@ You should see the builds taking place. You can experiment with options using en
> CMD (Windows)
```bat
set CIBW_BEFORE_ALL='apt install libpng-dev'
set CIBW_BEFORE_ALL='uname -a'
cibuildwheel --platform linux
```
@@ -82,7 +82,7 @@ You should see the builds taking place. You can experiment with options using en
```
[tool.cibuildwheel]
before-all = "apt install libpng-dev"
before-all = "uname -a"
```
Then invoke cibuildwheel, like:
@@ -184,10 +184,11 @@ To build Linux, Mac, and Windows wheels using GitHub Actions, create a `.github/
- uses: actions/checkout@v4
- name: Build wheels
run: pipx run cibuildwheel==2.16.2
run: pipx run cibuildwheel==2.16.5
- uses: actions/upload-artifact@v3
- uses: actions/upload-artifact@v4
with:
name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}
path: ./wheelhouse/*.whl
```
@@ -219,13 +220,14 @@ To build Linux, Mac, and Windows wheels using GitHub Actions, create a `.github/
- uses: actions/setup-python@v3
- name: Install cibuildwheel
run: python -m pip install cibuildwheel==2.16.2
run: python -m pip install cibuildwheel==2.16.5
- name: Build wheels
run: python -m cibuildwheel --output-dir wheelhouse
- uses: actions/upload-artifact@v3
- uses: actions/upload-artifact@v4
with:
name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}
path: ./wheelhouse/*.whl
```
docs/working-examples.md
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@@ -18,12 +18,12 @@ title: Working examples
| [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 |
| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an in-process SQL OLAP Database Management System |
| [MemRay][] | ![github icon][] | ![linux icon][] | The endgame Python memory profiler |
| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
| [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 |
| [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners |
| [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 |
| [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. |
@@ -45,11 +45,11 @@ title: Working examples
| [tinyobjloader][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader |
| [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 |
| [PyYAML][] | ![github icon][] | ![apple icon][] | Canonical source repository for PyYAML |
| [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. |
| [PyYAML][] | ![github icon][] | ![apple icon][] | Canonical source repository for PyYAML |
| [Line Profiler][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python |
| [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, PyTables, pandas, bcolz and more |
| [numexpr][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more |
| [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. |
| [pikepdf][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by QPDF |
| [Wrapt][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python module for decorators, wrappers and monkey patching. |
@@ -58,8 +58,8 @@ title: Working examples
| [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 |
| [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. |
| [Psycopg 3][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A modern implementation of a PostgreSQL adapter for Python |
| [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 |
| [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) |
@@ -70,8 +70,8 @@ title: Working examples
| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS |
| [markupsafe][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
| [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
| [time-machine][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Time mocking library using only the CPython C API. |
| [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 |
| [python-rapidjson][] | ![travisci icon][] ![gitlab icon][] ![appveyor icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson |
| [python-snappy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library |
@@ -79,22 +79,22 @@ title: Working examples
| [dd-trace-py][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Uses custom alternate arch emulation on GitHub |
| [pybind11 python_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a Python-based build system |
| [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. |
| [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. |
| [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. |
| [cyvcf2][] | ![github icon][] | ![apple icon][] ![linux icon][] | cython + htslib == fast VCF and BCF processing |
| [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 |
| [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. |
| [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. |
| [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
| [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. |
| [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 |
| [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python |
| [fathon][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms |
| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [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. |
| [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. |
| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
@@ -108,11 +108,11 @@ title: Working examples
| [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. |
| [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. |
| [CorrectionLib][] | ![github icon][] | ![apple icon][] ![linux icon][] | Structured JSON powered correction library for HEP, designed for the CMS experiment at CERN. |
| [aalink][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Async Python interface for Ableton Link. |
| [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
| [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). |
| [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
@@ -129,8 +129,8 @@ title: Working examples
[uvloop]: https://github.com/MagicStack/uvloop
[psutil]: https://github.com/giampaolo/psutil
[Triton]: https://github.com/openai/triton
[vaex]: https://github.com/vaexio/vaex
[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
@@ -152,8 +152,8 @@ title: Working examples
[tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader
[coverage.py]: https://github.com/nedbat/coveragepy
[PyCryptodome]: https://github.com/Legrandin/pycryptodome
[PyYAML]: https://github.com/yaml/pyyaml
[CTranslate2]: https://github.com/OpenNMT/CTranslate2
[PyYAML]: https://github.com/yaml/pyyaml
[Line Profiler]: https://github.com/pyutils/line_profiler
[PyAV]: https://github.com/PyAV-Org/PyAV
[numexpr]: https://github.com/pydata/numexpr
@@ -165,8 +165,8 @@ title: Working examples
[SimpleJSON]: https://github.com/simplejson/simplejson
[aioquic]: https://github.com/aiortc/aioquic
[ruptures]: https://github.com/deepcharles/ruptures
[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO
[Psycopg 3]: https://github.com/psycopg/psycopg
[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO
[PyTables]: https://github.com/PyTables/PyTables
[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
@@ -177,8 +177,8 @@ title: Working examples
[Picologging]: https://github.com/microsoft/picologging
[Rtree]: https://github.com/Toblerity/rtree
[markupsafe]: https://github.com/pallets/markupsafe
[pybind11 cmake_example]: https://github.com/pybind/cmake_example
[time-machine]: https://github.com/adamchainz/time-machine
[pybind11 cmake_example]: https://github.com/pybind/cmake_example
[KDEpy]: https://github.com/tommyod/KDEpy
[python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson
[python-snappy]: https://github.com/andrix/python-snappy
@@ -186,22 +186,22 @@ title: Working examples
[dd-trace-py]: https://github.com/DataDog/dd-trace-py
[pybind11 python_example]: https://github.com/pybind/python_example
[sourmash]: https://github.com/dib-lab/sourmash
[cyvcf2]: https://github.com/brentp/cyvcf2
[matrixprofile]: https://github.com/matrix-profile-foundation/matrixprofile
[abess]: https://github.com/abess-team/abess
[matrixprofile]: https://github.com/matrix-profile-foundation/matrixprofile
[cyvcf2]: https://github.com/brentp/cyvcf2
[jq.py]: https://github.com/mwilliamson/jq.py
[iminuit]: https://github.com/scikit-hep/iminuit
[Tokenizer]: https://github.com/OpenNMT/Tokenizer
[PyGLM]: https://github.com/Zuzu-Typ/PyGLM
[TgCrypto]: https://github.com/pyrogram/tgcrypto
[pillow-heif]: https://github.com/bigcat88/pillow_heif
[iDynTree]: https://github.com/robotology/idyntree
[TgCrypto]: https://github.com/pyrogram/tgcrypto
[bx-python]: https://github.com/bxlab/bx-python
[iDynTree]: https://github.com/robotology/idyntree
[boost-histogram]: https://github.com/scikit-hep/boost-histogram
[Python-WebRTC]: https://github.com/MarshalX/python-webrtc
[pybase64]: https://github.com/mayeut/pybase64
[fathon]: https://github.com/stfbnc/fathon
[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
[fathon]: https://github.com/stfbnc/fathon
[Arbor]: https://github.com/arbor-sim/arbor
[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
@@ -215,11 +215,11 @@ title: Working examples
[ril]: https://github.com/Cryptex-github/ril-py
[GSD]: https://github.com/glotzerlab/gsd
[SiPM]: https://github.com/EdoPro98/SimSiPM
[CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
[xmlstarlet]: https://github.com/dimitern/xmlstarlet
[CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
[aalink]: https://github.com/artfwo/aalink
[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
[werpy]: https://github.com/analyticsinmotion/werpy
[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