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@@ -14,8 +14,8 @@ title: Working examples
| [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. |
| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| [Prophet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
| [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. |
| [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][] | Memray is a memory profiler for Python |
@@ -31,8 +31,8 @@ title: Working examples
| [scikit-image][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Image processing library. Uses cibuildwheel to build and test a project that uses Cython with platform-native code. |
| [twisted-iocpsupport][] | ![github icon][] | ![windows icon][] | A submodule of Twisted that hooks into native C APIs using Cython. |
| [PyOxidizer][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool |
| [websockets][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Library for building WebSocket servers and clients. Mostly written in Python, with a small C 'speedups' extension module. |
| [cvxpy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A Python-embedded modeling language for convex optimization problems. |
| [websockets][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Library for building WebSocket servers and clients. Mostly written in Python, with a small C 'speedups' extension module. |
| [River][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | 🌊 Online machine learning in Python |
| [UltraJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings |
| [OpenSpiel][] | ![github icon][] | ![apple icon][] ![linux icon][] | OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. |
@@ -50,20 +50,20 @@ title: Working examples
| [numexpr][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more |
| [PyAV][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. |
| [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. |
| [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. |
| [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 |
| [envd][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | 🏕️ Reproducible development environment |
| [SimpleJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | simplejson is a simple, fast, extensible JSON encoder/decoder for Python |
| [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. |
| [PyTables][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
| [Psycopg 3][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A modern implementation of a PostgreSQL adapter for Python |
| [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. |
| [google neuroglancer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
| [DeepForest][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
| [google neuroglancer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
| [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 |
@@ -98,8 +98,8 @@ title: Working examples
| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
| [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. |
| [etebase-py][] | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
| [etebase-py][] | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
| [cf-units][] | ![github icon][] | ![apple icon][] ![linux icon][] | Units of measure as required by the Climate and Forecast (CF) Metadata Conventions |
| [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
@@ -120,8 +120,8 @@ title: Working examples
[Tornado]: https://github.com/tornadoweb/tornado
[Matplotlib]: https://github.com/matplotlib/matplotlib
[NCNN]: https://github.com/Tencent/ncnn
[Prophet]: https://github.com/facebook/prophet
[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
[Prophet]: https://github.com/facebook/prophet
[Kivy]: https://github.com/kivy/kivy
[duckdb]: https://github.com/duckdb/duckdb
[MemRay]: https://github.com/bloomberg/memray
@@ -137,8 +137,8 @@ title: Working examples
[scikit-image]: https://github.com/scikit-image/scikit-image
[twisted-iocpsupport]: https://github.com/twisted/twisted-iocpsupport
[PyOxidizer]: https://github.com/indygreg/PyOxidizer
[websockets]: https://github.com/aaugustin/websockets
[cvxpy]: https://github.com/cvxpy/cvxpy
[websockets]: https://github.com/aaugustin/websockets
[River]: https://github.com/online-ml/river
[UltraJSON]: https://github.com/ultrajson/ultrajson
[OpenSpiel]: https://github.com/deepmind/open_spiel
@@ -156,20 +156,20 @@ title: Working examples
[numexpr]: https://github.com/pydata/numexpr
[PyAV]: https://github.com/PyAV-Org/PyAV
[h5py]: https://github.com/h5py/h5py
[Wrapt]: https://github.com/GrahamDumpleton/wrapt
[CTranslate2]: https://github.com/OpenNMT/CTranslate2
[Wrapt]: https://github.com/GrahamDumpleton/wrapt
[pikepdf]: https://github.com/pikepdf/pikepdf
[envd]: https://github.com/tensorchord/envd
[SimpleJSON]: https://github.com/simplejson/simplejson
[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
[PyTables]: https://github.com/PyTables/PyTables
[Psycopg 3]: https://github.com/psycopg/psycopg
[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
[google neuroglancer]: https://github.com/google/neuroglancer
[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
[google neuroglancer]: https://github.com/google/neuroglancer
[AutoPy]: https://github.com/autopilot-rs/autopy
[H3-py]: https://github.com/uber/h3-py
[mosec]: https://github.com/mosecorg/mosec
@@ -204,8 +204,8 @@ title: Working examples
[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
[polaroid]: https://github.com/daggy1234/polaroid
[etebase-py]: https://github.com/etesync/etebase-py
[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
[etebase-py]: https://github.com/etesync/etebase-py
[cf-units]: https://github.com/SciTools/cf-units
[clang-format]: https://github.com/ssciwr/clang-format-wheel
[ninja]: https://github.com/scikit-build/ninja-python-distributions