Hummingbird

license

MIT(OSI)

source

public

core-gated

ungated

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://github.com/microsoft/hummingbird/blob/main/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim MIT text

• https://api.github.com/repos/microsoft/hummingbird recorded 2026-08-18

  Repo metadata - license spdx_id MIT, private false, archived false, default branch main - for microsoft/hummingbird.

• https://github.com/microsoft/hummingbird/blob/main/README.md recorded 2026-08-18

  README describes compilation of trained traditional ML models into tensor computations so they run on neural-network frameworks such as PyTorch, with no paid tier, enterprise edition or license-key-gated build beside it.

18,660 PyPI downloads of `hummingbird-ml` in the trailing 30 days, which lands in the 10K-100K band of the software usage scale, level 2.

• https://pypistats.org/api/packages/hummingbird-ml/recent recorded 2026-08-18

  last_month downloads = 18,660 for hummingbird-ml

Banded on the category feature matrix as narrow kernel set or single-pass utility. Placed two bands below the tensorrt anchor, on a matrix that bands on how much of the model-to-hardware transformation pipeline a product performs, over how many inputs and targets.

• https://github.com/microsoft/hummingbird/blob/main/README.md recorded 2026-08-18

  README still documents compilation of trained traditional ML models into tensor computations so they run on neural-network frameworks such as PyTorch.