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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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docs/working-examples.md
+15 -12
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@@ -8,12 +8,12 @@ title: Working examples
| 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 |
| [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 |
| [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. |
| [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. |
@@ -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. |
| [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. |
| [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. |
| [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). |
@@ -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 |
| [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. |
| [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 |
| [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 |
@@ -73,13 +73,13 @@ title: Working examples
| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
| [markupsafe][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS |
| [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
| [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 |
| [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. |
| [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 |
| [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. |
| [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` |
@@ -87,7 +87,7 @@ title: Working examples
| [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. |
| [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. |
| [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 |
@@ -96,11 +96,11 @@ title: Working examples
| [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 |
| [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 |
| [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. |
| [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][] ![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. |
| [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 |
| [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. |
@@ -239,6 +239,9 @@ title: Working examples
[windows icon]: data/readme_icons/windows.svg
[apple icon]: data/readme_icons/apple.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
<!-- END bin/projects.py -->