Finch.jl

license

MIT(OSI)

source

public

core features withheld

no

MIT license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

• https://api.github.com/repos/finch-tensor/Finch.jl recorded 2026-09-02

  Repo metadata for finch-jl's canonical repository - private false, archived false, fork false.

• https://github.com/finch-tensor/Finch.jl/blob/main/LICENSE recorded 2026-10-07

  LICENSE body is the verbatim MIT text under a Finch.jl contributors copyright line.

• https://github.com/finch-tensor/Finch.jl/blob/main/README.md recorded 2026-10-07

  README describes Finch as a Julia-to-Julia compiler for sparse and structured arrays that automatically generates customized, fused sparse kernels from high-level array programs, with no paid tier, enterprise edition or license-gated build beside the published source.

GitHub stars are the adoption signal for Finch.jl: the Julia General registry, where the package installs from, publishes no download counts. A separate `finch-tensor` package on PyPI is a different, Python-native library that only optionally pulls in Finch.jl as a `julia` extra, so its downloads are not counted here.

• https://api.github.com/repos/finch-tensor/Finch.jl recorded 2026-09-02

  Repo metadata - stargazers_count = 245 - for finch-tensor/Finch.jl.

Finch.jl is a full Julia-to-Julia compiler that lowers high-level sparse and structured array programs into fused, customized kernels. That toolchain is narrowed to one class of programs, sparse and structured tensor computation, rather than the retargetable, multi-framework, multi-vendor scope Apache TVM covers.

• https://github.com/finch-tensor/Finch.jl/blob/main/README.md recorded 2026-10-07

  README describes Finch as a Julia-to-Julia compiler for sparse and structured arrays that automatically generates customized, fused sparse kernels from high-level array programs, with no paid tier, enterprise edition or license-gated build beside the published source.