Core ML Tools

license

BSD-3-Clause(OSI)

source

public

core-gated

ungated

BSD-3-Clause 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/apple/coremltools/blob/main/LICENSE.txt recorded 2026-08-18

  LICENSE file is the verbatim BSD-3-Clause text

• https://api.github.com/repos/apple/coremltools recorded 2026-08-18

  Repo metadata - license spdx_id BSD-3-Clause, private false, archived false, default branch main - for apple/coremltools.

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

  README describes conversion of models from TensorFlow 1.x and 2.x, PyTorch, scikit-learn, XGBoost and LibSVM into the Core ML format, plus reading, writing and optimizing Core ML models and verifying conversions by predicting on macOS, with no paid tier, enterprise edition or license-key-gated build beside it.

2,878,300 PyPI downloads of `coremltools` in the trailing 30 days, which lands in the 1M-10M band of the software usage scale, level 4.

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

  last_month downloads = 2,878,300 for coremltools

Banded on the category feature matrix as full compilation narrowed to one vendor's targets. Placed one band below the apache-tvm 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/apple/coremltools/blob/main/README.md recorded 2026-08-18

  README still documents conversion of models from TensorFlow 1.x and 2.x, PyTorch, scikit-learn, XGBoost and LibSVM into the Core ML format, plus reading, writing and optimizing Core ML models and verifying conversions by predicting on macOS.