Scikit Build Proposal

iscinumpy.gitlab.io

I’ve spent the last few years trying to make it easy for anyone to extend Python with compiled languages. I’ve worked on pybind11, a powerful C++ library that allows users to write advanced Python extensions using just C++11, used by some of the largest projects, SciPy, PyTorch, Google, LLVM, and tens of thousands of other libraries, down to very small extensions. I also work on cibuildwheel, which makes building binaries (called wheels) on continuous integration (CI) simple. It is again powerful enough to used by huge projects, like Scikit-learn, matplotlib, mypy; and is simple enough to be used by hundreds of other packages. Recently it was accepted into the Python Packaging Authority (PyPA). There is one missing piece, though, to complete this picture of compiled extensions that easy to use for small projects, and powerful enough for large projects: the build system. I believe the solution to that is scikit-build, and I’d like to work on it over the next three years. Scikit-build is a tool for integrating a package with a CMake build system into Python. You can utilize the vast collection of packages and projects using CMake already, and you have access to modern building features, like multithreaded builds, library discovery, superb compiler and IDE support, and all sorts of extended tooling. Modern CMake is quite pleasant to write compared to times past; I have written a book and training course on it. We ship up-to-date cmake and ninja wheels for all binary platforms. Update: Funded! I’ll be working on this starting August 1, 2022! I wrote a proposal for an NSF CSSI Elements project containing three parts. The first part will cover core development on Scikit-build to address the current shortcomings and to prepare it for a post-distutils (Python 3.12+) world. The second part would cover assisting libraries with a science use case in either transitioning to scikit-build (ideally from an existing CMake build system with Python bindings, but I can help mentor dev