diff --git a/README.md b/README.md index a621e4f5..56da09c4 100644 --- a/README.md +++ b/README.md @@ -142,25 +142,25 @@ Here are some repos that use cibuildwheel. |-----------------------------------|----|----|:------| | [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. | | [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. | +| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. | | [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | -| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | MyPyC, the compiled component of MyPy. | +| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS | +| [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. | | [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints | -| [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 | -| [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 πŸš€ | -| [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library | [scikit-learn]: https://github.com/scikit-learn/scikit-learn [Tornado]: https://github.com/tornadoweb/tornado +[NumPy]: https://github.com/numpy/numpy [pytorch-fairseq]: https://github.com/pytorch/fairseq [Matplotlib]: https://github.com/matplotlib/matplotlib +[Kivy]: https://github.com/kivy/kivy +[NCNN]: https://github.com/Tencent/ncnn +[Prophet]: https://github.com/facebook/prophet [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels [pydantic]: https://github.com/samuelcolvin/pydantic -[uvloop]: https://github.com/MagicStack/uvloop -[psutil]: https://github.com/giampaolo/psutil -[vaex]: https://github.com/vaexio/vaex -[Google Benchmark]: https://github.com/google/benchmark [appveyor icon]: docs/data/readme_icons/appveyor.svg [github icon]: docs/data/readme_icons/github.svg diff --git a/docs/data/projects.yml b/docs/data/projects.yml index e12bd99b..7e8c544a 100644 --- a/docs/data/projects.yml +++ b/docs/data/projects.yml @@ -287,7 +287,7 @@ pypi: mypy ci: [github] os: [apple, linux, windows] - notes: MyPyC, the compiled component of MyPy. + notes: The compiled version of MyPy using MyPyC. - name: Imagecodecs (fork) gh: czaki/imagecodecs_build @@ -521,10 +521,71 @@ gh: arbor-sim/arbor ci: [github] os: [apple, linux] - pypi: arbor notes: > 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. + +- name: Kivy + gh: kivy/kivy + ci: [github] + os: [windows, apple, linux] + +- name: NCNN + gh: Tencent/ncnn + ci: [github] + os: [windows, apple, linux] + +- name: Prophet + gh: facebook/prophet + ci: [github] + os: [windows, apple, linux] + +- name: MemRay + gh: bloomberg/memray + ci: [github] + os: [linux] + +- name: PyGame + gh: pygame/pygame + ci: [github] + os: [apple, linux] + +- name: UltraJSON + gh: ultrajson/ultrajson + ci: [github] + os: [windows, apple, linux] + +- name: NumPy + gh: numpy/numpy + ci: [github, travisci] + os: [windows, apple, linux] + +- name: Wrapt + gh: GrahamDumpleton/wrapt + ci: [github] + os: [windows, apple, linux] + +- name: SimpleJSON + gh: simplejson/simplejson + ci: [github] + os: [windows, apple, linux] + +- name: Implicit + gh: benfred/implicit + ci: [github] + os: [windows, apple, linux] + notes: Includes GPU support for linux wheels + +- name: power-grid-model + gh: alliander-opensource/power-grid-model + ci: [github] + os: [windows, apple, linux] + notes: Python/C++ library for distribution power system analysis + +- name: Python-WebRTC + gh: MarshalX/python-webrtc + ci: [github] + os: [windows, apple, linux] diff --git a/docs/working-examples.md b/docs/working-examples.md index ae5f5702..0f4017f9 100644 --- a/docs/working-examples.md +++ b/docs/working-examples.md @@ -10,22 +10,29 @@ title: Working examples |-----------------------------------|----|----|:------| | [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. | | [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. | +| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. | | [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. | | [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions | -| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | MyPyC, the compiled component of MyPy. | +| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS | +| [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. | | [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints | | [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 | +| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python | | [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 πŸš€ | | [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library | -| [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming | +| [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. | | [asyncpg][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. | | [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. | -| [cmake][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. | | [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an in-process SQL OLAP Database Management System | +| [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. | +| [cmake][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. | | [twisted-iocpsupport][] | ![github icon][] | ![windows icon][] | A submodule of Twisted that hooks into native C APIs using Cython. | | [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. | +| [UltraJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings | | [PyOxidizer][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool | | [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners | | [River][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | 🌊 Online machine learning in Python | @@ -33,6 +40,7 @@ title: Working examples | [pyzmq][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python bindings for zeromq, the networking library. Uses Cython and CFFI. | | [aiortc][] | ![github icon][] | ![apple icon][] ![linux icon][] | WebRTC and ORTC implementation for Python using asyncio. | | [vispy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Main repository for Vispy | +| [Implicit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels | | [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` | | [tinyobjloader][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader | | [Dependency Injector][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI | @@ -41,12 +49,14 @@ title: Working examples | [PyYAML][] | ![github icon][] | ![apple icon][] | Canonical source repository for PyYAML | | [numexpr][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz 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. | | [PyAV][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. | +| [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. | | [Line Profiler][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python | | [PyTables][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data | -| [OpenTimelineIO][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. | | [pikepdf][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by qpdf | +| [OpenTimelineIO][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. | | [ruptures][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. | | [aioquic][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | QUIC and HTTP/3 implementation in Python | | [DeepForest][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) | @@ -55,8 +65,8 @@ title: Working examples | [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. | | [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 | -| [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 ΒΆ | +| [markupsafe][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. | | [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 | | [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system | @@ -65,10 +75,10 @@ title: Working examples | [pybind11 python_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a Python-based build system | | [dd-trace-py][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Uses custom alternate arch emulation on GitHub | | [cyvcf2][] | ![github icon][] | ![apple icon][] ![linux icon][] | cython + htslib == fast VCF and BCF processing | -| [sourmash][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. | | [time-machine][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Time mocking library using only the CPython C API. | -| [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. | +| [sourmash][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. | | [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. | +| [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. | | [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 | @@ -78,6 +88,7 @@ title: Working examples | [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. | | [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 | | [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. | +| [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. | | [etebase-py][] | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. | @@ -85,10 +96,11 @@ title: Working examples | [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. | | [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 | | [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. | +| [pyjet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy | +| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis | | [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 | +| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. | | [GSD][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. | | [pillow-heif][] | ![github icon][] | ![apple icon][] ![linux icon][] | Python CFFI binding to libheif library with third party dependencies like `libde265`, `x265`, `libaom` with test & publishing on PyPi. | | [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies | @@ -98,22 +110,29 @@ title: Working examples [scikit-learn]: https://github.com/scikit-learn/scikit-learn [Tornado]: https://github.com/tornadoweb/tornado +[NumPy]: https://github.com/numpy/numpy [pytorch-fairseq]: https://github.com/pytorch/fairseq [Matplotlib]: https://github.com/matplotlib/matplotlib +[Kivy]: https://github.com/kivy/kivy +[NCNN]: https://github.com/Tencent/ncnn +[Prophet]: https://github.com/facebook/prophet [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels [pydantic]: https://github.com/samuelcolvin/pydantic [uvloop]: https://github.com/MagicStack/uvloop [psutil]: https://github.com/giampaolo/psutil +[MemRay]: https://github.com/bloomberg/memray [vaex]: https://github.com/vaexio/vaex [Google Benchmark]: https://github.com/google/benchmark [Apache Beam]: https://github.com/apache/beam [asyncpg]: https://github.com/MagicStack/asyncpg [scikit-image]: https://github.com/scikit-image/scikit-image -[cmake]: https://github.com/scikit-build/cmake-python-distributions [duckdb]: https://github.com/duckdb/duckdb +[PyGame]: https://github.com/pygame/pygame +[cmake]: https://github.com/scikit-build/cmake-python-distributions [twisted-iocpsupport]: https://github.com/twisted/twisted-iocpsupport [websockets]: https://github.com/aaugustin/websockets [cvxpy]: https://github.com/cvxpy/cvxpy +[UltraJSON]: https://github.com/ultrajson/ultrajson [PyOxidizer]: https://github.com/indygreg/PyOxidizer [Triton]: https://github.com/openai/triton [River]: https://github.com/online-ml/river @@ -121,6 +140,7 @@ title: Working examples [pyzmq]: https://github.com/zeromq/pyzmq [aiortc]: https://github.com/aiortc/aiortc [vispy]: https://github.com/vispy/vispy +[Implicit]: https://github.com/benfred/implicit [Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python [tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader [Dependency Injector]: https://github.com/ets-labs/python-dependency-injector @@ -129,12 +149,14 @@ title: Working examples [PyYAML]: https://github.com/yaml/pyyaml [numexpr]: https://github.com/pydata/numexpr [h5py]: https://github.com/h5py/h5py +[Wrapt]: https://github.com/GrahamDumpleton/wrapt [PyAV]: https://github.com/PyAV-Org/PyAV +[SimpleJSON]: https://github.com/simplejson/simplejson [OpenColorIO]: https://github.com/AcademySoftwareFoundation/OpenColorIO [Line Profiler]: https://github.com/pyutils/line_profiler [PyTables]: https://github.com/PyTables/PyTables -[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO [pikepdf]: https://github.com/pikepdf/pikepdf +[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO [ruptures]: https://github.com/deepcharles/ruptures [aioquic]: https://github.com/aiortc/aioquic [DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest @@ -143,8 +165,8 @@ title: Working examples [Parselmouth]: https://github.com/YannickJadoul/Parselmouth [AutoPy]: https://github.com/autopilot-rs/autopy [H3-py]: https://github.com/uber/h3-py -[markupsafe]: https://github.com/pallets/markupsafe [Rtree]: https://github.com/Toblerity/rtree +[markupsafe]: https://github.com/pallets/markupsafe [python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson [python-snappy]: https://github.com/andrix/python-snappy [pybind11 cmake_example]: https://github.com/pybind/cmake_example @@ -153,10 +175,10 @@ title: Working examples [pybind11 python_example]: https://github.com/pybind/python_example [dd-trace-py]: https://github.com/DataDog/dd-trace-py [cyvcf2]: https://github.com/brentp/cyvcf2 -[sourmash]: https://github.com/dib-lab/sourmash [time-machine]: https://github.com/adamchainz/time-machine -[abess]: https://github.com/abess-team/abess +[sourmash]: https://github.com/dib-lab/sourmash [CTranslate2]: https://github.com/OpenNMT/CTranslate2 +[abess]: https://github.com/abess-team/abess [matrixprofile]: https://github.com/matrix-profile-foundation/matrixprofile [jq.py]: https://github.com/mwilliamson/jq.py [iminuit]: https://github.com/scikit-hep/iminuit @@ -166,6 +188,7 @@ title: Working examples [boost-histogram]: https://github.com/scikit-hep/boost-histogram [iDynTree]: https://github.com/robotology/idyntree [TgCrypto]: https://github.com/pyrogram/tgcrypto +[Python-WebRTC]: https://github.com/MarshalX/python-webrtc [pybase64]: https://github.com/mayeut/pybase64 [Arbor]: https://github.com/arbor-sim/arbor [etebase-py]: https://github.com/etesync/etebase-py @@ -173,10 +196,11 @@ title: Working examples [Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build [polaroid]: https://github.com/daggy1234/polaroid [numpythia]: https://github.com/scikit-hep/numpythia -[pyjet]: https://github.com/scikit-hep/pyjet [clang-format]: https://github.com/ssciwr/clang-format-wheel -[ninja]: https://github.com/scikit-build/ninja-python-distributions +[pyjet]: https://github.com/scikit-hep/pyjet +[power-grid-model]: https://github.com/alliander-opensource/power-grid-model [pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example +[ninja]: https://github.com/scikit-build/ninja-python-distributions [GSD]: https://github.com/glotzerlab/gsd [pillow-heif]: https://github.com/bigcat88/pillow_heif [pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext @@ -194,93 +218,105 @@ title: Working examples [apple icon]: data/readme_icons/apple.svg [linux icon]: data/readme_icons/linux.svg - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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