337 lines
29 KiB
Markdown
337 lines
29 KiB
Markdown
---
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title: Working examples
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---
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<!-- START bin/projects.py -->
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<!-- this section is generated by bin/projects.py. Don't edit it directly, instead, edit docs/data/projects.yml -->
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| Name | CI | OS | Notes |
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|-----------------------------------|----|----|:------|
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| [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. |
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| [Tornado][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
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| [NumPy][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
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| [pytorch-fairseq][] | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
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| [Matplotlib][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
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| [Kivy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
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| [NCNN][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
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| [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. |
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| [MyPy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
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| [pydantic][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
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| [uvloop][] | ![github icon][] | ![apple icon][] ![linux icon][] | Ultra fast asyncio event loop. |
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| [psutil][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
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| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
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| [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 🚀 |
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| [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
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| [Apache Beam][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. |
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| [asyncpg][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. |
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| [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. |
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| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an in-process SQL OLAP Database Management System |
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| [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. |
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| [cmake][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
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| [twisted-iocpsupport][] | ![github icon][] | ![windows icon][] | A submodule of Twisted that hooks into native C APIs using Cython. |
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| [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. |
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| [cvxpy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A Python-embedded modeling language for convex optimization problems. |
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| [UltraJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings |
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| [PyOxidizer][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool |
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| [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners |
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| [River][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | 🌊 Online machine learning in Python |
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| [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. |
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| [pyzmq][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python bindings for zeromq, the networking library. Uses Cython and CFFI. |
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| [aiortc][] | ![github icon][] | ![apple icon][] ![linux icon][] | WebRTC and ORTC implementation for Python using asyncio. |
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| [vispy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Main repository for Vispy |
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| [Implicit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels |
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| [Confluent client for Kafka][] | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` |
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| [tinyobjloader][] | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader |
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| [Dependency Injector][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI |
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| [coverage.py][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The coverage tool for Python |
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| [PyCryptodome][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A self-contained cryptographic library for Python |
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| [PyYAML][] | ![github icon][] | ![apple icon][] | Canonical source repository for PyYAML |
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| [numexpr][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more |
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| [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. |
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| [Wrapt][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python module for decorators, wrappers and monkey patching. |
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| [PyAV][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. |
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| [SimpleJSON][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | simplejson is a simple, fast, extensible JSON encoder/decoder for Python |
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| [OpenColorIO][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A color management framework for visual effects and animation. |
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| [Line Profiler][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python |
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| [PyTables][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
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| [pikepdf][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by qpdf |
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| [OpenTimelineIO][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
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| [ruptures][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. |
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| [aioquic][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | QUIC and HTTP/3 implementation in Python |
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| [DeepForest][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
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| [google neuroglancer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
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| [Psycopg 3][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A modern implementation of a PostgreSQL adapter for Python |
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| [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. |
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| [AutoPy][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
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| [H3-py][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for H3, a hierarchical hexagonal geospatial indexing system |
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| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS ¶ |
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| [markupsafe][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
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| [python-rapidjson][] | ![travisci icon][] ![gitlab icon][] ![appveyor icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson |
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| [python-snappy][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library |
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| [pybind11 cmake_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
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| [KDEpy][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Kernel Density Estimation in Python |
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| [tgcalls][] | ![github icon][] | ![apple icon][] ![windows icon][] | Python `pybind11` binding to Telegram's WebRTC library with third party dependencies like `OpenSSL`, `MozJPEG`, `FFmpeg`, etc. |
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| [pybind11 python_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a Python-based build system |
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| [dd-trace-py][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Uses custom alternate arch emulation on GitHub |
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| [cyvcf2][] | ![github icon][] | ![apple icon][] ![linux icon][] | cython + htslib == fast VCF and BCF processing |
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| [time-machine][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Time mocking library using only the CPython C API. |
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| [sourmash][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. |
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| [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. |
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| [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. |
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| [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. |
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| [jq.py][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | Python bindings for jq |
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| [iminuit][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Jupyter-friendly Python interface for C++ MINUIT2 |
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| [Tokenizer][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support |
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| [PyGLM][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
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| [bx-python][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
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| [boost-histogram][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. |
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| [iDynTree][] | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
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| [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
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| [Python-WebRTC][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
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| [pybase64][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python |
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| [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. |
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| [etebase-py][] | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
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| [fathon][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms |
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| [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. |
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| [polaroid][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. |
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| [numpythia][] | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy |
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| [clang-format][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
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| [pyjet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy |
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| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
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| [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
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| [ninja][] | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
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| [GSD][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. |
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| [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. |
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| [pyinstrument_cext][] | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
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| [xmlstarlet][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. |
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| [CorrectionLib][] | ![github icon][] | ![apple icon][] ![linux icon][] | Structured JSON powered correction library for HEP, designed for the CMS experiment at CERN. |
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| [SiPM][] | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
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[scikit-learn]: https://github.com/scikit-learn/scikit-learn
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[Tornado]: https://github.com/tornadoweb/tornado
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[NumPy]: https://github.com/numpy/numpy
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[pytorch-fairseq]: https://github.com/pytorch/fairseq
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[Matplotlib]: https://github.com/matplotlib/matplotlib
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[Kivy]: https://github.com/kivy/kivy
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[NCNN]: https://github.com/Tencent/ncnn
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[Prophet]: https://github.com/facebook/prophet
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[MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
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[pydantic]: https://github.com/samuelcolvin/pydantic
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[uvloop]: https://github.com/MagicStack/uvloop
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[psutil]: https://github.com/giampaolo/psutil
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[MemRay]: https://github.com/bloomberg/memray
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[vaex]: https://github.com/vaexio/vaex
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[Google Benchmark]: https://github.com/google/benchmark
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[Apache Beam]: https://github.com/apache/beam
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[asyncpg]: https://github.com/MagicStack/asyncpg
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[scikit-image]: https://github.com/scikit-image/scikit-image
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[duckdb]: https://github.com/duckdb/duckdb
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[PyGame]: https://github.com/pygame/pygame
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[cmake]: https://github.com/scikit-build/cmake-python-distributions
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[twisted-iocpsupport]: https://github.com/twisted/twisted-iocpsupport
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[websockets]: https://github.com/aaugustin/websockets
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[cvxpy]: https://github.com/cvxpy/cvxpy
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[UltraJSON]: https://github.com/ultrajson/ultrajson
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[PyOxidizer]: https://github.com/indygreg/PyOxidizer
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[Triton]: https://github.com/openai/triton
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[River]: https://github.com/online-ml/river
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[OpenSpiel]: https://github.com/deepmind/open_spiel
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[pyzmq]: https://github.com/zeromq/pyzmq
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[aiortc]: https://github.com/aiortc/aiortc
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[vispy]: https://github.com/vispy/vispy
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[Implicit]: https://github.com/benfred/implicit
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[Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python
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[tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader
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[Dependency Injector]: https://github.com/ets-labs/python-dependency-injector
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[coverage.py]: https://github.com/nedbat/coveragepy
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[PyCryptodome]: https://github.com/Legrandin/pycryptodome
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[PyYAML]: https://github.com/yaml/pyyaml
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[numexpr]: https://github.com/pydata/numexpr
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[h5py]: https://github.com/h5py/h5py
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[Wrapt]: https://github.com/GrahamDumpleton/wrapt
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[PyAV]: https://github.com/PyAV-Org/PyAV
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[SimpleJSON]: https://github.com/simplejson/simplejson
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[OpenColorIO]: https://github.com/AcademySoftwareFoundation/OpenColorIO
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[Line Profiler]: https://github.com/pyutils/line_profiler
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[PyTables]: https://github.com/PyTables/PyTables
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[pikepdf]: https://github.com/pikepdf/pikepdf
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[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO
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[ruptures]: https://github.com/deepcharles/ruptures
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[aioquic]: https://github.com/aiortc/aioquic
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[DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
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[google neuroglancer]: https://github.com/google/neuroglancer
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[Psycopg 3]: https://github.com/psycopg/psycopg
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[Parselmouth]: https://github.com/YannickJadoul/Parselmouth
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[AutoPy]: https://github.com/autopilot-rs/autopy
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[H3-py]: https://github.com/uber/h3-py
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[Rtree]: https://github.com/Toblerity/rtree
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[markupsafe]: https://github.com/pallets/markupsafe
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[python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson
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[python-snappy]: https://github.com/andrix/python-snappy
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[pybind11 cmake_example]: https://github.com/pybind/cmake_example
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[KDEpy]: https://github.com/tommyod/KDEpy
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[tgcalls]: https://github.com/MarshalX/tgcalls
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[pybind11 python_example]: https://github.com/pybind/python_example
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[dd-trace-py]: https://github.com/DataDog/dd-trace-py
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[cyvcf2]: https://github.com/brentp/cyvcf2
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[time-machine]: https://github.com/adamchainz/time-machine
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[sourmash]: https://github.com/dib-lab/sourmash
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[CTranslate2]: https://github.com/OpenNMT/CTranslate2
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[abess]: https://github.com/abess-team/abess
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[matrixprofile]: https://github.com/matrix-profile-foundation/matrixprofile
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[jq.py]: https://github.com/mwilliamson/jq.py
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[iminuit]: https://github.com/scikit-hep/iminuit
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[Tokenizer]: https://github.com/OpenNMT/Tokenizer
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[PyGLM]: https://github.com/Zuzu-Typ/PyGLM
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[bx-python]: https://github.com/bxlab/bx-python
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[boost-histogram]: https://github.com/scikit-hep/boost-histogram
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[iDynTree]: https://github.com/robotology/idyntree
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[TgCrypto]: https://github.com/pyrogram/tgcrypto
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[Python-WebRTC]: https://github.com/MarshalX/python-webrtc
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[pybase64]: https://github.com/mayeut/pybase64
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[Arbor]: https://github.com/arbor-sim/arbor
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[etebase-py]: https://github.com/etesync/etebase-py
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[fathon]: https://github.com/stfbnc/fathon
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[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
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[polaroid]: https://github.com/daggy1234/polaroid
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[numpythia]: https://github.com/scikit-hep/numpythia
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[clang-format]: https://github.com/ssciwr/clang-format-wheel
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[pyjet]: https://github.com/scikit-hep/pyjet
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[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
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[pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
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[ninja]: https://github.com/scikit-build/ninja-python-distributions
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[GSD]: https://github.com/glotzerlab/gsd
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[pillow-heif]: https://github.com/bigcat88/pillow_heif
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[pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
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[xmlstarlet]: https://github.com/dimitern/xmlstarlet
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[CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
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[SiPM]: https://github.com/EdoPro98/SimSiPM
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[appveyor icon]: data/readme_icons/appveyor.svg
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[github icon]: data/readme_icons/github.svg
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[azurepipelines icon]: data/readme_icons/azurepipelines.svg
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[circleci icon]: data/readme_icons/circleci.svg
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[gitlab icon]: data/readme_icons/gitlab.svg
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[travisci icon]: data/readme_icons/travisci.svg
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[windows icon]: data/readme_icons/windows.svg
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[apple icon]: data/readme_icons/apple.svg
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[linux icon]: data/readme_icons/linux.svg
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<!-- END bin/projects.py -->
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> Add your repo here! Let us know on [GitHub Discussions](https://github.com/pypa/cibuildwheel/discussions/485), or send a PR, adding your information to `docs/data/projects.yml`.
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>
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> <sup>I'd like to include notes here to indicate why an example might be interesting to cibuildwheel users - the styles/technologies/techniques used in each. Please include that in future additions!</sup>
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<style>
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.wy-nav-content {
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/* this table benefits from a wider page */
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max-width: 1000px;
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}
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.rst-content .section table img {
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/* make the icons darker on this page */
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filter: brightness(0.5);
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}
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</style>
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