tf2onnx

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/onnx/tensorflow-onnx/blob/main/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim Apache-2.0 text

• https://api.github.com/repos/onnx/tensorflow-onnx recorded 2026-08-18

  Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for onnx/tensorflow-onnx.

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

  README describes conversion of TensorFlow, Keras, TensorFlow.js and TFLite models to ONNX from the command line or a Python API, alongside a notice that the project is looking for a new maintainer, with no paid tier, enterprise edition or license-key-gated build beside it.

381,440 PyPI downloads of `tf2onnx` in the trailing 30 days, which lands in the 100K-1M band of the software usage scale, level 3.

• https://pypistats.org/api/packages/tf2onnx/recent recorded 2026-08-18

  last_month downloads = 381,440 for tf2onnx

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/onnx/tensorflow-onnx/blob/main/README.md recorded 2026-08-18

  README still documents conversion of TensorFlow, Keras, TensorFlow.js and TFLite models to ONNX from the command line or a Python API, alongside a notice that the project is looking for a new maintainer.