manylinux

Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

GitHub Action to install and run a custom maturin command with built-in support for cross compilation

🎡 Automated build repo for Python wheels and source packages

manylinux2014 and manylinux_2_28 aarch64/armv7l/s390x/ppc64/ppc64le cross compilation docker image

Tracking manylinux progress on packager side

manylinux docker images with CUDA Toolkit

This action builds manylinux wheels for several recent versions of Python (3.6 - 3.9) and publishes to pypi. It uses docker image provided by pypa's manylinux project. We are using manylinux2010_x86_64 docker image which requires pip >= 19.0 on the client installing the built wheel.

Binary Compatibility Intelligence for Python — detect incompatibilities before they crash your program

Run Pyinstaller on ManyLinux 2.28 (x86_64) AlmaLinux 8.7 based using Pyenv

manylinux-based Docker image with Hyperscan installed.

Docker container for compiling manylinux1 python wheels for sme (Spatial Model Editor)

Docker manylinux image for building Linux arm32 / arm64 Python wheel packages

Unofficial python-rtmidi wheels for the CPython versions upstream doesn't ship — currently 3.13, 3.14 and free-threaded 3.14t. Linux, macOS and Windows.

Pre-built Llama-CPP Wheel for HF Spaces (Python 3.13)

Python wheels that work on (almost) any Linux with CUDA

Compiling, testing, and distributing Python geospatial C-extensions (GDAL/PROJ/PyProj) with modern CI/CD and wheel workflows — source for geospatial-ci-cd.org.

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

Docker container for compiling manylinux x86_64/aarch64 Python wheels for sme (Spatial Model Editor)

This is an legacy deployment system implementation for PureCPP an open-source modular RAG (Retrieval-Augmented Generation) system developed by PureAI,. My contributions include C++<->Python bindings, vector database, modular chunks, and deploy scripts. Initial design evolved into the backbone architecture. Published under MIT license