Projects

There are over 600 projects using scikit-build-core on PyPI (as of May 2025). This is a selection of some of the projects. Feel free to add your own project to docs/data/projects.toml. The following selection was primarily constructed by looking at the top 15,000 most downloaded projects on PyPI for top-level pyproject.toml’s in SDists that use scikit-build-core.

• cmake (source)

• ninja (source)

• pyzmq (source)

• lightgbm (source)

• phik (source)

• clang-format (source)

• llama-cpp-python (source)

• coreforecast (source)

• sparse-dot-topn (source)

• spglib (source)

• awkward-cpp (source)

• OpenEXR (source)

• iminuit (source)

• boost-histogram (source)

• astyle (source)

• lammps (source)

• llamacpp (source)

• nodejs-wheel (source)

• pygram11 (source)

• manifold3d (source)

• highspy (source)

• laszip (source)

• imgui-bundle (source)

• pyopencl (source)

• pylibmagic (source)

• gemmi (source)

• gdstk (source)

• symusic (source)

• s5cmd (source)

• pyslang (source)

• librapid (source)

• pyresidfp (source)

• kiss-icp (source)

• simsopt (source)

• mqt-core (source)

In addition, most of the RAPIDSAI projects use scikit-build-core, but they are not published on PyPI. A few of them are:

• CuDF (source)

• CuGraph (source)

• CuML (source)

• CuSpatial (source)

• RMM (source)

• Raft (source)

The Insight Toolkit (ITK), the initial target project for scikit-build classic, has transitioned to sckit-build-core. ITK currently provides one example of a production SWIG-based deployment. In addition, dozens of ITK-based extension packages are configured with scikit-build-core.