Update dependencies
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cibuildwheel-bot[bot]
@@ -19,9 +19,9 @@ title: Working examples
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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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| [duckdb][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an in-process SQL OLAP Database Management System |
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| [MemRay][] | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
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| [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners |
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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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| [Triton][] | ![github icon][] | ![linux icon][] | Self hosted runners |
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| [Google Benchmark][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
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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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| [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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@@ -50,8 +50,8 @@ title: Working examples
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| [Line Profiler][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python |
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| [PyAV][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. |
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| [numexpr][] | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables 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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| [pikepdf][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by QPDF |
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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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| [envd][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A machine learning development environment build tool |
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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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@@ -68,15 +68,15 @@ 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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| [mosec][] | ![github icon][] | ![linux icon][] ![apple icon][] | A machine learning model serving framework powered by Rust |
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| [Picologging][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
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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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| [Rtree][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Rtree: spatial index for Python GIS |
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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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| [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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| [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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| [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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| [dd-trace-py][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Uses custom alternate arch emulation on GitHub |
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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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| [sourmash][] | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. |
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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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@@ -127,9 +127,9 @@ title: Working examples
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[Kivy]: https://github.com/kivy/kivy
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[duckdb]: https://github.com/duckdb/duckdb
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[MemRay]: https://github.com/bloomberg/memray
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[Triton]: https://github.com/openai/triton
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[uvloop]: https://github.com/MagicStack/uvloop
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[psutil]: https://github.com/giampaolo/psutil
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[Triton]: https://github.com/openai/triton
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[Google Benchmark]: https://github.com/google/benchmark
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[vaex]: https://github.com/vaexio/vaex
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[Apache Beam]: https://github.com/apache/beam
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@@ -158,8 +158,8 @@ title: Working examples
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[Line Profiler]: https://github.com/pyutils/line_profiler
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[PyAV]: https://github.com/PyAV-Org/PyAV
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[numexpr]: https://github.com/pydata/numexpr
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[h5py]: https://github.com/h5py/h5py
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[pikepdf]: https://github.com/pikepdf/pikepdf
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[h5py]: https://github.com/h5py/h5py
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[Wrapt]: https://github.com/GrahamDumpleton/wrapt
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[envd]: https://github.com/tensorchord/envd
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[OpenColorIO]: https://github.com/AcademySoftwareFoundation/OpenColorIO
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@@ -176,15 +176,15 @@ title: Working examples
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[H3-py]: https://github.com/uber/h3-py
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[mosec]: https://github.com/mosecorg/mosec
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[Picologging]: https://github.com/microsoft/picologging
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[Rtree]: https://github.com/Toblerity/rtree
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[markupsafe]: https://github.com/pallets/markupsafe
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[Rtree]: https://github.com/Toblerity/rtree
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[time-machine]: https://github.com/adamchainz/time-machine
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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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[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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[tgcalls]: https://github.com/MarshalX/tgcalls
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[dd-trace-py]: https://github.com/DataDog/dd-trace-py
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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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[sourmash]: https://github.com/dib-lab/sourmash
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[abess]: https://github.com/abess-team/abess
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