Apache TVM

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/apache/tvm/blob/main/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim Apache-2.0 text

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

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

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

  README describes an open machine learning compilation framework built on Python-first customization of compiler pipelines and universal deployment into minimum deployable modules, licensed Apache-2.0, with no paid tier, enterprise edition or license-key-gated build beside it.

13,543 PyPI downloads of `apache-tvm` in the trailing 30 days, which lands in the 10K-100K band of the software usage scale, level 2. TVM is predominantly built from source rather than installed from the wheel, so the package figure is a floor on real use rather than a measure of it. No higher-confidence usage count is published, and the stars scale would report a level the ladder caps at 3 on a weaker instrument, so the download figure is banded as recorded.

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

  last_month downloads = 13,543 for apache-tvm

Banded on the category feature matrix as retargetable end-to-end compiler. This is the category's top anchor: the matrix bands on how much of the model-to-hardware transformation pipeline a product performs, over how many inputs and targets, and nothing else in the roster performs more of it. Every other band in the category is placed against this one.

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

  README still documents an open machine learning compilation framework built on Python-first customization of compiler pipelines and universal deployment into minimum deployable modules, licensed Apache-2.0.