Update dependencies
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@@ -55,8 +55,8 @@ title: Working examples
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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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| [Line Profiler][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling 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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| [PyTables][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
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| [envd][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | 🏕️ Development environment for AI/ML |
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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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| [OpenTimelineIO][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
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| [aioquic][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | QUIC and HTTP/3 implementation in Python |
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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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@@ -68,8 +68,9 @@ title: Working examples
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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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| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
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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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| [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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| [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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@@ -84,19 +85,19 @@ title: Working examples
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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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| [mosec][] | ![github icon][] | ![linux icon][] ![apple icon][] | A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine |
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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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| [TgCrypto][] | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
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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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| [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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| [fathon][] | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms |
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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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| [etebase-py][] | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
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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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| [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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| [power-grid-model][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
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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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| [cf-units][] | ![github icon][] | ![apple icon][] ![linux icon][] | Units of measure as required by the Climate and Forecast (CF) Metadata Conventions |
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@@ -160,8 +161,8 @@ title: Working examples
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[SimpleJSON]: https://github.com/simplejson/simplejson
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[Line Profiler]: https://github.com/pyutils/line_profiler
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[OpenColorIO]: https://github.com/AcademySoftwareFoundation/OpenColorIO
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[PyTables]: https://github.com/PyTables/PyTables
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[envd]: https://github.com/tensorchord/envd
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[PyTables]: https://github.com/PyTables/PyTables
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[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO
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[aioquic]: https://github.com/aiortc/aioquic
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[ruptures]: https://github.com/deepcharles/ruptures
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@@ -173,8 +174,9 @@ title: Working examples
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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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[Picologging]: https://github.com/microsoft/picologging
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[pybind11 cmake_example]: https://github.com/pybind/cmake_example
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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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[KDEpy]: https://github.com/tommyod/KDEpy
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[tgcalls]: https://github.com/MarshalX/tgcalls
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@@ -189,19 +191,19 @@ title: Working examples
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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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[mosec]: https://github.com/mosecorg/mosec
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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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[TgCrypto]: https://github.com/pyrogram/tgcrypto
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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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[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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[fathon]: https://github.com/stfbnc/fathon
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[pillow-heif]: https://github.com/bigcat88/pillow_heif
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[etebase-py]: https://github.com/etesync/etebase-py
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[polaroid]: https://github.com/daggy1234/polaroid
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[pillow-heif]: https://github.com/bigcat88/pillow_heif
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[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
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[Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
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[cf-units]: https://github.com/SciTools/cf-units
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