Shizhi Tang (roastduck)

license

Apache-2.0(OSI)

source

public

core-gated

ungated

Apache-2.0 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://github.com/roastduck/FreeTensor/blob/master/LICENSE recorded 2026-09-02

  LICENSE body carries the verbatim Apache License 2.0 text.

• https://api.github.com/repos/roastduck/FreeTensor recorded 2026-09-02

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

• https://github.com/roastduck/FreeTensor/blob/master/README.md recorded 2026-09-02

  README describes FreeTensor as compiling loop-based tensor programs written in Python to native code, with dynamic shapes, parallelization, explicit optimization transformations and automatic differentiation, and names no paid tier, enterprise edition or license-gated build beside the published source.