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docs: add a Pyodide icon and misc. stuff + regenerate projects and working examples data for Android, iOS, and Pyodide (#2815)

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* Create greyed-out Pyodide icon

* Add Pyodide icon to NumPy and scikit-learn

* Add new Pyodide data to projects fields

* Allow local SVG usage if missing in simple-icons

* Fix deprecated `login_or_token` argument

* Regenerate working examples with Android, iOS, and Pyodide data

* Add Pyodide to the "Usage" table

* Add ⚠️⁵ to the table indicating Pyodide being untested

* add pybase64 to the list of projects building pyodide wheels

* Update and format table + maybe this looks nicer

* Downscale Pyodide SVG to 16px width

* Reformat tables and superscript references a bit more

---------

Co-authored-by: Matthieu Darbois <mayeut@users.noreply.github.com>
This commit is contained in:
Agriya Khetarpal
2026-04-08 13:46:50 -04:00
committed by GitHub
co-authored by Matthieu Darbois
parent 075b5c8881
commit 58977c129d
6 changed files with 89 additions and 63 deletions
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README.md
+38 -34
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@@ -22,27 +22,27 @@ What does it do?
While cibuildwheel itself requires a recent Python version to run (we support the last three releases), it can target the following versions to build wheels: While cibuildwheel itself requires a recent Python version to run (we support the last three releases), it can target the following versions to build wheels:
| | macOS Intel | macOS Apple Silicon | Windows 64bit | Windows 32bit | Windows Arm64 | manylinux<br/>musllinux x86_64 | manylinux<br/>musllinux i686 | manylinux<br/>musllinux aarch64 | manylinux<br/>musllinux ppc64le | manylinux<br/>musllinux s390x | manylinux<br/>musllinux armv7l | Android | iOS | Pyodide | | | macOS Intel | macOS Apple Silicon | Windows 64bit | Windows 32bit | Windows Arm64 | manylinux<br/>musllinux x86_64 | manylinux<br/>musllinux i686 | manylinux<br/>musllinux aarch64 | manylinux<br/>musllinux ppc64le | manylinux<br/>musllinux s390x | manylinux<br/>musllinux armv7l | Android | iOS | Pyodide |
|--------------------|----|-----|----|-----|-----|----|-----|----|-----|-----|---|-----|-----|-----| | ------------------------ | ----------- | ------------------- | ------------- | ------------- | -------------- | ------------------------------ | ---------------------------- | ------------------------------- | ------------------------------- | ----------------------------- | ------------------------------ | ------- | --- | -------------- |
| CPython 3.8 | ✅ | ✅ | ✅ | ✅ | N/A | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | N/A | N/A | N/A | | CPython 3.8 | ✅ | ✅ | ✅ | ✅ | N/A | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | N/A | N/A | N/A |
| CPython 3.9 | ✅ | ✅ | ✅ | ✅ | ✅² | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | N/A | N/A | N/A | | CPython 3.9 | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | N/A | N/A | N/A |
| CPython 3.10 | ✅ | ✅ | ✅ | ✅ | ✅² | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | N/A | N/A | N/A | | CPython 3.10 | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | N/A | N/A | N/A |
| CPython 3.11 | ✅ | ✅ | ✅ | ✅ | ✅² | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | N/A | N/A | N/A | | CPython 3.11 | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | N/A | N/A | N/A |
| CPython 3.12 | ✅ | ✅ | ✅ | ✅ | ✅² | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | N/A | N/A | ✅⁴ | | CPython 3.12 | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | N/A | N/A | ✅<sup>4</sup> |
| CPython 3.13³ | ✅ | ✅ | ✅ | ✅ | ✅² | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | ✅ | ✅ | ✅⁴ | | CPython 3.13<sup>3</sup> | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | ✅ | ✅ | ✅<sup>4</sup> |
| CPython 3.14 | ✅ | ✅ | ✅ | ✅ | ✅² | ✅ | ✅ | ✅ | ✅ | ✅ | ✅⁵ | ✅ | ✅ | N/A | | CPython 3.14 | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>5</sup> | ✅ | ✅ | N/A |
| PyPy 3.8 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅¹ | ✅¹ | ✅¹ | N/A | N/A | N/A | N/A | N/A | N/A | | PyPy 3.8 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅<sup>1</sup> | ✅<sup>1</sup> | ✅<sup>1</sup> | N/A | N/A | N/A | N/A | N/A | N/A |
| PyPy 3.9 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅¹ | ✅¹ | ✅¹ | N/A | N/A | N/A | N/A | N/A | N/A | | PyPy 3.9 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅<sup>1</sup> | ✅<sup>1</sup> | ✅<sup>1</sup> | N/A | N/A | N/A | N/A | N/A | N/A |
| PyPy 3.10 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅¹ | ✅¹ | ✅¹ | N/A | N/A | N/A | N/A | N/A | N/A | | PyPy 3.10 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅<sup>1</sup> | ✅<sup>1</sup> | ✅<sup>1</sup> | N/A | N/A | N/A | N/A | N/A | N/A |
| PyPy 3.11 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅¹ | ✅¹ | ✅¹ | N/A | N/A | N/A | N/A | N/A | N/A | | PyPy 3.11 v7.3 | ✅ | ✅ | ✅ | N/A | N/A | ✅<sup>1</sup> | ✅<sup>1</sup> | ✅<sup>1</sup> | N/A | N/A | N/A | N/A | N/A | N/A |
| GraalPy 3.11 v24.2 | ✅ | ✅ | ✅ | N/A | N/A | ✅¹ | N/A | ✅¹ | N/A | N/A | N/A | N/A | N/A | N/A | | GraalPy 3.11 v24.2 | ✅ | ✅ | ✅ | N/A | N/A | ✅<sup>1</sup> | N/A | ✅<sup>1</sup> | N/A | N/A | N/A | N/A | N/A | N/A |
| GraalPy 3.12 v25.0 | ✅ | ✅ | ✅ | N/A | N/A | ✅¹ | N/A | ✅¹ | N/A | N/A | N/A | N/A | N/A | N/A | | GraalPy 3.12 v25.0 | ✅ | ✅ | ✅ | N/A | N/A | ✅<sup>1</sup> | N/A | ✅<sup>1</sup> | N/A | N/A | N/A | N/A | N/A | N/A |
<sup>¹ PyPy & GraalPy are only supported for manylinux wheels.</sup><br> <sup>**1** PyPy & GraalPy are only supported for manylinux wheels.</sup><br>
<sup>² Windows arm64 support is experimental.</sup><br> <sup>**2** Windows arm64 support is experimental.</sup><br>
<sup>³ Free-threaded mode requires opt-in on 3.13 using [`enable`](https://cibuildwheel.pypa.io/en/stable/options/#enable).</sup><br> <sup>**3** Free-threaded mode requires opt-in on 3.13 using [`enable`](https://cibuildwheel.pypa.io/en/stable/options/#enable).</sup><br>
<sup>⁴ Experimental, not yet supported on PyPI, but can be used directly in web deployment. Use `--platform pyodide` to build.</sup><br> <sup>**4** Experimental, not yet supported on PyPI, but can be used directly in web deployment. Use `--platform pyodide` to build.</sup><br>
<sup>⁵ manylinux armv7l support is experimental. As there are no RHEL based image for this architecture, it's using an Ubuntu based image instead.</sup><br> <sup>**5** manylinux armv7l support is experimental. As there are no RHEL based image for this architecture, it's using an Ubuntu based image instead.</sup><br>
- Builds manylinux, musllinux, macOS, and Windows wheels for CPython, PyPy, and GraalPy - Builds manylinux, musllinux, macOS, and Windows wheels for CPython, PyPy, and GraalPy
- Works on GitHub Actions, Azure Pipelines, CircleCI, GitLab CI, and Cirrus CI - Works on GitHub Actions, Azure Pipelines, CircleCI, GitLab CI, and Cirrus CI
@@ -56,18 +56,19 @@ Usage
`cibuildwheel` runs inside a CI service. Supported platforms depend on which service you're using: `cibuildwheel` runs inside a CI service. Supported platforms depend on which service you're using:
| | Linux | macOS | Windows | Linux ARM | macOS ARM | Windows ARM | Android | iOS | | | Linux | macOS | Windows | Linux ARM | macOS ARM | Windows ARM | Android | iOS | Pyodide |
|-----------------|-------|-------|---------|-----------|-----------|-------------|---------|-----| | --------------- | ----- | ----- | ------- | -------------- | --------- | -------------- | -------------------------- | -------------------------- | -------------- |
| GitHub Actions | ✅ | ✅ | ✅ | ✅ | ✅ | ✅² | ✅⁴ | ✅³ | | GitHub Actions | ✅ | ✅ | ✅ | ✅ | ✅ | ✅<sup>2</sup> | ✅<sup>4</sup> | ✅<sup>3</sup> | ✅ |
| Azure Pipelines | ✅ | ✅ | ✅ | | ✅ | ✅² | ✅⁴ | ✅³ | | Azure Pipelines | ✅ | ✅ | ✅ | | ✅ | ✅<sup>2</sup> | ✅<sup>4</sup> | ✅<sup>3</sup> | ✅<sup>5</sup> |
| CircleCI | ✅ | ✅ | | ✅ | ✅ | | ✅⁴ | ✅³ | | CircleCI | ✅ | ✅ | | ✅ | ✅ | | ✅<sup>4</sup><sup>5</sup> | ✅<sup>3</sup><sup>5</sup> | ✅<sup>5</sup> |
| Gitlab CI | ✅ | ✅ | ✅ | ✅¹ | ✅ | | ✅⁴ | ✅³ | | GitLab CI | ✅ | ✅ | ✅ | ✅<sup>1</sup> | ✅ | | ✅<sup>4</sup><sup>5</sup> | ✅<sup>3</sup><sup>5</sup> | ✅<sup>5</sup> |
| Cirrus CI | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅⁴ | | | Cirrus CI | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅<sup>4</sup><sup>5</sup> | | ✅<sup>5</sup> |
<sup>¹ [Requires emulation](https://cibuildwheel.pypa.io/en/stable/faq/#emulation), distributed separately. Other services may also support Linux ARM through emulation or third-party build hosts, but these are not tested in our CI.</sup><br> <sup>**1** [Requires emulation](https://cibuildwheel.pypa.io/en/stable/faq/#emulation), distributed separately. Other services may also support Linux ARM through emulation or third-party build hosts, but these are not tested in our CI.</sup><br>
<sup>² [Uses cross-compilation](https://cibuildwheel.pypa.io/en/stable/faq/#windows-arm64). It is not possible to test `arm64` on this CI platform.</sup><br> <sup>**2** [Uses cross-compilation](https://cibuildwheel.pypa.io/en/stable/faq/#windows-arm64). It is not possible to test `arm64` on this CI platform.</sup><br>
<sup>³ Requires a macOS runner; runs tests on the simulator for the runner's architecture. </sup><br> <sup>**3** Requires a macOS runner; runs tests on the simulator for the runner's architecture. </sup><br>
<sup>⁴ Building for Android requires the runner to be Linux x86_64, macOS ARM64 or macOS x86_64. Testing has [additional requirements](https://cibuildwheel.pypa.io/en/stable/platforms/#android).</sup><br> <sup>**4** Building for Android requires the runner to be Linux x86_64, macOS ARM64 or macOS x86_64. Testing has [additional requirements](https://cibuildwheel.pypa.io/en/stable/platforms/#android).</sup><br>
<sup>**5** Builds may work, but are untested in cibuildwheel's CI.</sup><br>
<!--intro-end--> <!--intro-end-->
@@ -185,12 +186,12 @@ Here are some repos that use cibuildwheel.
| Name | CI | OS | Notes | | Name | CI | OS | Notes |
|-----------------------------------|----|----|:------| |-----------------------------------|----|----|:------|
| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. | | [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide 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. |
| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system | | [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | | [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. | | [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | The fundamental package for scientific computing with Python. |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform | | [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [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. | | [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. |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. | | [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
@@ -216,6 +217,9 @@ Here are some repos that use cibuildwheel.
[windows icon]: docs/data/readme_icons/windows.svg [windows icon]: docs/data/readme_icons/windows.svg
[apple icon]: docs/data/readme_icons/apple.svg [apple icon]: docs/data/readme_icons/apple.svg
[linux icon]: docs/data/readme_icons/linux.svg [linux icon]: docs/data/readme_icons/linux.svg
[android icon]: docs/data/readme_icons/android.svg
[ios icon]: docs/data/readme_icons/ios.svg
[pyodide icon]: docs/data/readme_icons/pyodide.svg
<!-- END bin/projects.py --> <!-- END bin/projects.py -->
bin/projects.py
+11 -4
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@@ -20,6 +20,7 @@ Suggested usage:
import builtins import builtins
import functools import functools
import textwrap import textwrap
import urllib.error
import urllib.request import urllib.request
import xml.dom.minidom import xml.dom.minidom
from collections.abc import Iterable, Mapping, Sequence from collections.abc import Iterable, Mapping, Sequence
@@ -30,7 +31,7 @@ from typing import Any, Self, TextIO
import click import click
import yaml import yaml
from github import Github, GithubException from github import Auth, Github, GithubException
ICONS = ( ICONS = (
"github", "github",
@@ -44,6 +45,7 @@ ICONS = (
"linux", "linux",
"android", "android",
"ios", "ios",
"pyodide",
) )
@@ -132,8 +134,13 @@ class Project:
def fetch_icon(icon_name: str) -> None: def fetch_icon(icon_name: str) -> None:
url = f"https://cdn.jsdelivr.net/npm/simple-icons@v4/icons/{icon_name}.svg" url = f"https://cdn.jsdelivr.net/npm/simple-icons@v4/icons/{icon_name}.svg"
with urllib.request.urlopen(url) as f: try:
original_svg_data = f.read() with urllib.request.urlopen(url) as f:
original_svg_data = f.read()
except urllib.error.HTTPError as e:
if e.code == 404 and path_for_icon(icon_name).exists():
return
raise
document = xml.dom.minidom.parseString(original_svg_data) document = xml.dom.minidom.parseString(original_svg_data)
svgElement = document.documentElement svgElement = document.documentElement
@@ -167,7 +174,7 @@ def get_projects(
for icon in ICONS: for icon in ICONS:
fetch_icon(icon) fetch_icon(icon)
github = Github(auth) if online else None github = Github(auth=Auth.Token(auth)) if (online and auth) else None
return sorted((Project(item, github) for item in config), reverse=online) return sorted((Project(item, github) for item in config), reverse=online)
docs/data/projects.schema.json
+1 -1
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@@ -28,7 +28,7 @@
"ci_config": { "type": "string" }, "ci_config": { "type": "string" },
"os": { "os": {
"type": "array", "type": "array",
"items": { "enum": ["windows", "apple", "linux", "android", "ios"] } "items": { "enum": ["windows", "apple", "linux", "android", "ios", "pyodide"] }
} }
}, },
"required": ["name", "gh", "ci", "os"] "required": ["name", "gh", "ci", "os"]
docs/data/projects.yml
+12 -12
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@@ -3,7 +3,7 @@
# gh: GitHub repo (eventually a url: could be added for non-github projects) # gh: GitHub repo (eventually a url: could be added for non-github projects)
# stars: GitHub repo (optional, if different from package, such as for Twisted) # stars: GitHub repo (optional, if different from package, such as for Twisted)
# pypi: The pypi name, if different from the GitHub package name # pypi: The pypi name, if different from the GitHub package name
# os: Operating system list, [windows, apple, linux, android, ios] (optional) # os: Operating system list, [windows, apple, linux, android, ios, pyodide] (optional)
# ci: [github, azurepipelines, circleci, gitlab, travisci, cirrusci] (optional) # ci: [github, azurepipelines, circleci, gitlab, travisci, cirrusci] (optional)
# notes: (text, optional) # notes: (text, optional)
@@ -17,7 +17,7 @@
gh: matplotlib/matplotlib gh: matplotlib/matplotlib
notes: The venerable Matplotlib, a Python library with C++ portions notes: The venerable Matplotlib, a Python library with C++ portions
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
- name: pyinstrument - name: pyinstrument
gh: joerick/pyinstrument gh: joerick/pyinstrument
@@ -48,7 +48,7 @@
- name: pybase64 - name: pybase64
gh: mayeut/pybase64 gh: mayeut/pybase64
ci: [github] ci: [github]
os: [windows, apple, linux, android, ios] os: [windows, apple, linux, android, ios, pyodide]
notes: setuptools backend with custom CMake step for external sources. SBOM embedded via a custom repair step. notes: setuptools backend with custom CMake step for external sources. SBOM embedded via a custom repair step.
- name: KDEpy - name: KDEpy
@@ -144,7 +144,7 @@
- name: scikit-learn - name: scikit-learn
gh: scikit-learn/scikit-learn gh: scikit-learn/scikit-learn
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
ci_config: .github/workflows/wheels.yml ci_config: .github/workflows/wheels.yml
notes: | notes: |
The machine learning library. A complex but clean config using many of The machine learning library. A complex but clean config using many of
@@ -154,7 +154,7 @@
- name: scikit-image - name: scikit-image
gh: scikit-image/scikit-image gh: scikit-image/scikit-image
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
ci_config: .github/workflows/cibuildwheel.yml ci_config: .github/workflows/cibuildwheel.yml
notes: | notes: |
Image processing library. Uses cibuildwheel to build and test a project Image processing library. Uses cibuildwheel to build and test a project
@@ -194,17 +194,17 @@
- name: pybind11 python_example - name: pybind11 python_example
gh: pybind/python_example gh: pybind/python_example
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
- name: pybind11 cmake_example - name: pybind11 cmake_example
gh: pybind/cmake_example gh: pybind/cmake_example
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
- name: pybind11 scikit_build_example - name: pybind11 scikit_build_example
gh: pybind/scikit_build_example gh: pybind/scikit_build_example
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
- name: pybind11 cross build example - name: pybind11 cross build example
gh: wbarnha/pybind_cmake_example_crossbuild gh: wbarnha/pybind_cmake_example_crossbuild
@@ -215,7 +215,7 @@
- name: iminuit - name: iminuit
gh: scikit-hep/iminuit gh: scikit-hep/iminuit
ci: [github] ci: [github]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
- name: pyjet - name: pyjet
gh: scikit-hep/pyjet gh: scikit-hep/pyjet
@@ -230,7 +230,7 @@
- name: boost-histogram - name: boost-histogram
gh: scikit-hep/boost-histogram gh: scikit-hep/boost-histogram
ci: [github, travisci] ci: [github, travisci]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
notes: Supports full range of wheels, including PyPy and alternate archs. notes: Supports full range of wheels, including PyPy and alternate archs.
- name: Rtree - name: Rtree
@@ -332,7 +332,7 @@
- name: sourmash - name: sourmash
gh: sourmash-bio/sourmash gh: sourmash-bio/sourmash
ci: [github] ci: [github]
os: [apple, linux, windows] os: [apple, linux, windows, pyodide]
- name: markupsafe - name: markupsafe
gh: pallets/markupsafe gh: pallets/markupsafe
@@ -565,7 +565,7 @@
- name: NumPy - name: NumPy
gh: numpy/numpy gh: numpy/numpy
ci: [github, travisci] ci: [github, travisci]
os: [windows, apple, linux] os: [windows, apple, linux, pyodide]
- name: Wrapt - name: Wrapt
gh: GrahamDumpleton/wrapt gh: GrahamDumpleton/wrapt
docs/data/readme_icons/pyodide.svg
+12
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@@ -0,0 +1,12 @@
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| Name | CI | OS | Notes | | Name | CI | OS | Notes |
|-----------------------------------|----|----|:------| |-----------------------------------|----|----|:------|
| [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions. | | [scikit-learn][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide 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. |
| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system | | [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an analytical in-process SQL database management system |
| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | | [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. | | [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | The fundamental package for scientific computing with Python. |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform | | [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [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. | | [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. |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. | | [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | | [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
@@ -30,7 +30,7 @@ title: Working examples
| [asyncpg][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. | | [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. | | [cmake][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
| [pyinstrument][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python profiler with a C extension. No external dependencies. | | [pyinstrument][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python profiler with a C extension. No external dependencies. |
| [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. | | [scikit-image][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | Image processing library. Uses cibuildwheel to build and test a project that uses Cython with platform-native code. |
| [cvxpy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A Python-embedded modeling language for convex optimization problems. | | [cvxpy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A Python-embedded modeling language for convex optimization problems. |
| [PyOxidizer][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool | | [PyOxidizer][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool |
| [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). | | [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). |
@@ -42,7 +42,7 @@ title: Working examples
| [Dependency Injector][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI | | [Dependency Injector][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI |
| [UltraJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings | | [UltraJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings |
| [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. | | [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. |
| [pyzmq][] | ![github 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 GitHub Actions. | | [pyzmq][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![android icon][] | Python bindings for zeromq, the networking library. Uses Cython on CPython and CFFI on PyPy. ARM wheels for linux are built natively on GitHub Actions. |
| [Implicit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels | | [Implicit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels |
| [tinyobjloader][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader | | [tinyobjloader][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader |
| [vispy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Main repository for Vispy | | [vispy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Main repository for Vispy |
@@ -73,13 +73,13 @@ title: Working examples
| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. | | [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. | | [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 | | [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 | | [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide 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 | | [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 | | [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. | | [tgcalls][] | ![github icon][] | ![apple icon][] ![windows icon][] | Python `pybind11` binding to Telegram's WebRTC library with third party dependencies like `OpenSSL`, `MozJPEG`, `FFmpeg`, etc. |
| [sourmash][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. | | [sourmash][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] ![pyodide icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. |
| [python-rapidjson][] | ![travisci icon][] ![gitlab icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson | | [python-rapidjson][] | ![travisci icon][] ![gitlab 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 | | [pybind11 python_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | Example pybind11 module built with a Python-based build system |
| [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. | | [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. |
| [python-snappy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library | | [python-snappy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library |
| [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` | | [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` |
@@ -87,7 +87,7 @@ title: Working examples
| [cyvcf2][] | ![github icon][] | ![apple icon][] ![linux icon][] | cython + htslib == fast VCF and BCF processing | | [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. | | [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. |
| [Tokenizer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support | | [Tokenizer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support |
| [iminuit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Jupyter-friendly Python interface for C++ MINUIT2 | | [iminuit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | Jupyter-friendly Python interface for C++ MINUIT2 |
| [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. | | [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. |
| [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 | | [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 | | [PyGLM][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
@@ -96,11 +96,11 @@ title: Working examples
| [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. | | [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
| [streaming-form-data][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Streaming parser for multipart/form-data written in Cython | | [streaming-form-data][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Streaming parser for multipart/form-data written in Cython |
| [Imagecodecs (fork)][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. | | [Imagecodecs (fork)][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. |
| [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python | | [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![android icon][] ![ios icon][] | setuptools backend with custom CMake step for external sources. SBOM embedded via a custom repair step. |
| [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. | | [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | Supports full range of wheels, including PyPy and alternate archs. |
| [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. | | [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
| [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 | | [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 | | [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] ![pyodide icon][] | An example combining scikit-build and pybind11 |
| [fathon][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms | | [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. | | [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. |
| [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. | | [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
@@ -239,6 +239,9 @@ title: Working examples
[windows icon]: data/readme_icons/windows.svg [windows icon]: data/readme_icons/windows.svg
[apple icon]: data/readme_icons/apple.svg [apple icon]: data/readme_icons/apple.svg
[linux icon]: data/readme_icons/linux.svg [linux icon]: data/readme_icons/linux.svg
[android icon]: data/readme_icons/android.svg
[ios icon]: data/readme_icons/ios.svg
[pyodide icon]: data/readme_icons/pyodide.svg
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