Merge remote-tracking branch 'origin/main' into pip-constraints-fix

This commit is contained in:
Joe Rickerby
2024-02-04 11:18:10 +00:00
57 changed files with 503 additions and 265 deletions
+21
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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_
+37
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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"]
}
}
+16 -2
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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
@@ -631,3 +631,17 @@
os: [windows, apple, linux]
pypi: aalink
notes: Async Python interface for Ableton Link.
- name: werpy
gh: analyticsinmotion/werpy
ci: [github]
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
+5 -3
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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
```
+6
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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;
}
+6 -7
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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.
@@ -75,7 +75,7 @@ With the exception of Cirrus CI, macOS CI runners are still Intel-based, and App
!!! important
When cross-compiling on Intel, it is not possible to test `arm64` and the `arm64` part of a `universal2` wheel.
`cibuildwheel` will raise a warning to notify you of this - these warnings be be silenced by skipping testing on these platforms: `CIBW_TEST_SKIP: *_arm64 *_universal2:arm64`.
`cibuildwheel` will raise a warning to notify you of this - these warnings be be silenced by skipping testing on these platforms: `CIBW_TEST_SKIP: "*_arm64 *_universal2:arm64"`.
!!! note
Your runner needs Xcode Command Line Tools 12.2 or later to build `universal2` or `arm64`.
@@ -159,7 +159,7 @@ 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.
@@ -181,7 +181,7 @@ 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:
@@ -216,7 +216,6 @@ to build, your pyproject.toml might include a section like this:
[build-system]
requires = [
"setuptools>=42",
"wheel",
"Cython",
]
@@ -325,7 +324,7 @@ 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
```
@@ -395,7 +394,7 @@ To investigate the dependencies of a C extension (i.e., the `.pyd` file, a DLL i
### Windows ARM64 builds {: #windows-arm64}
`cibuildwheel` supports cross-compiling `ARM64` wheels on all Windows runners, but a native ARM64 runner is required for testing. On non-native runners, tests for ARM64 wheels will be automatically skipped with a warning. Add `*-win_arm64` to your `CIBW_TEST_SKIP` setting to suppress the warning.
`cibuildwheel` supports cross-compiling `ARM64` wheels on all Windows runners, but a native ARM64 runner is required for testing. On non-native runners, tests for ARM64 wheels will be automatically skipped with a warning. Add `"*-win_arm64"` to your `CIBW_TEST_SKIP` setting to suppress the warning.
Cross-compilation on Windows relies on a supported build backend. Supported backends use an environment variable to specify their target platform (the one they are compiling native modules for, as opposed to the one they are running on), which is set in [cibuildwheels/windows.py](https://github.com/pypa/cibuildwheel/blob/main/cibuildwheel/windows.py) before building. Currently, `setuptools>=65.4.1` and `setuptools_rust` are the only supported backends.
+1 -1
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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.
+15 -8
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@@ -849,7 +849,6 @@ Platform-specific environment variables are also available:<br/>
[build-system]
requires = [
"setuptools>=42",
"wheel",
"Cython",
"numpy==1.13.3; python_version<'3.5'",
"oldest-supported-numpy; python_version>='3.5'",
@@ -1072,8 +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`
@@ -1082,11 +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
@@ -1107,6 +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"
@@ -1118,6 +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 }
```
+9 -7
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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
```
+40 -38
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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. |
@@ -37,29 +37,29 @@ title: Working examples
| [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. |
| [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. |
| [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` |
| [Implicit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels |
| [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. |
| [Dependency Injector][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI |
| [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 |
| [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 |
| [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 |
| [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. |
| [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. |
| [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 |
| [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][] | 🏕️ Reproducible development environment |
| [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 |
| [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) |
@@ -67,11 +67,11 @@ title: Working examples
| [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 high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine |
| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS |
| [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 |
@@ -79,26 +79,26 @@ 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 |
| [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. |
| [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. |
| [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. |
| [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. |
| [etebase-py][] | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
| [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
| [cf-units][] | ![github icon][] | ![apple icon][] ![linux icon][] | Units of measure as required by the Climate and Forecast (CF) Metadata Conventions |
@@ -106,12 +106,13 @@ title: Working examples
| [numpythia][] | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy |
| [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. |
| [SiPM][] | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
| [GSD][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. |
| [CorrectionLib][] | ![github icon][] | ![apple icon][] ![linux icon][] | Structured JSON powered correction library for HEP, designed for the CMS experiment at CERN. |
| [SiPM][] | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
| [xmlstarlet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. |
| [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
| [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). |
| [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
@@ -128,8 +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
@@ -143,29 +144,29 @@ title: Working examples
[UltraJSON]: https://github.com/ultrajson/ultrajson
[OpenSpiel]: https://github.com/deepmind/open_spiel
[aiortc]: https://github.com/aiortc/aiortc
[pyzmq]: https://github.com/zeromq/pyzmq
[Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python
[Implicit]: https://github.com/benfred/implicit
[pyzmq]: https://github.com/zeromq/pyzmq
[Dependency Injector]: https://github.com/ets-labs/python-dependency-injector
[Implicit]: https://github.com/benfred/implicit
[vispy]: https://github.com/vispy/vispy
[tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader
[coverage.py]: https://github.com/nedbat/coveragepy
[PyCryptodome]: https://github.com/Legrandin/pycryptodome
[CTranslate2]: https://github.com/OpenNMT/CTranslate2
[PyYAML]: https://github.com/yaml/pyyaml
[Line Profiler]: https://github.com/pyutils/line_profiler
[CTranslate2]: https://github.com/OpenNMT/CTranslate2
[PyAV]: https://github.com/PyAV-Org/PyAV
[numexpr]: https://github.com/pydata/numexpr
[h5py]: https://github.com/h5py/h5py
[Wrapt]: https://github.com/GrahamDumpleton/wrapt
[pikepdf]: https://github.com/pikepdf/pikepdf
[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
[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
@@ -173,11 +174,11 @@ title: Working examples
[AutoPy]: https://github.com/autopilot-rs/autopy
[H3-py]: https://github.com/uber/h3-py
[mosec]: https://github.com/mosecorg/mosec
[Rtree]: https://github.com/Toblerity/rtree
[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
@@ -185,26 +186,26 @@ 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
[Arbor]: https://github.com/arbor-sim/arbor
[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
[polaroid]: https://github.com/daggy1234/polaroid
[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
[polaroid]: https://github.com/daggy1234/polaroid
[etebase-py]: https://github.com/etesync/etebase-py
[clang-format]: https://github.com/ssciwr/clang-format-wheel
[cf-units]: https://github.com/SciTools/cf-units
@@ -212,12 +213,13 @@ title: Working examples
[numpythia]: https://github.com/scikit-hep/numpythia
[pyjet]: https://github.com/scikit-hep/pyjet
[ril]: https://github.com/Cryptex-github/ril-py
[SiPM]: https://github.com/EdoPro98/SimSiPM
[GSD]: https://github.com/glotzerlab/gsd
[CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
[SiPM]: https://github.com/EdoPro98/SimSiPM
[xmlstarlet]: https://github.com/dimitern/xmlstarlet
[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
[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
[pybind11 cross build example]: https://github.com/wbarnha/pybind_cmake_example_crossbuild
[appveyor icon]: data/readme_icons/appveyor.svg