ONNX Simplifier

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/onnxsim/onnxsim/blob/master/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim Apache-2.0 text

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

  Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch master - for onnxsim/onnxsim.

• https://github.com/onnxsim/onnxsim/blob/master/README.md recorded 2026-08-18

  README describes simplification of an ONNX graph by folding the constant subgraphs and redundant operations exporters emit, with npm and Rust bindings beside the Python package, with no paid tier, enterprise edition or license-key-gated build beside it.

535,030 PyPI downloads of `onnxsim` in the trailing 30 days, which lands in the 100K-1M band of the software usage scale, level 3.

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

  last_month downloads = 535,030 for onnxsim

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/onnxsim/onnxsim/blob/master/README.md recorded 2026-08-18

  README still documents simplification of an ONNX graph by folding the constant subgraphs and redundant operations exporters emit, with npm and Rust bindings beside the Python package.