MLCommons
foundation · United StatesScores
1 product on the map — 1 open.
Openness
5 high confidence- license
- Apache-2.0(OSI
- source
- public
- core features withheld
- no
The specification and library are published under Apache-2.0 by MLCommons and developed in the open, with no enterprise, commercial or proprietary directory in the repository. One contributed subdirectory is MIT, which changes nothing.
- https://cdn.jsdelivr.net/gh/mlcommons/croissant@main/croissant-rdf/LICENSE recorded 2026-09-26
"MIT License Copyright (c) 2024 David Steinberg" for the croissant-rdf subdirectory
- https://cdn.jsdelivr.net/gh/mlcommons/croissant@main/LICENSE.md recorded 2026-09-26
Apache License, Version 2.0, full text
- https://cdn.jsdelivr.net/gh/mlcommons/croissant@main/README.md recorded 2026-09-26
"Croissant is currently under development by the community. You can try the Croissant implementation, mlcroissant"
- https://ungh.cc/repos/mlcommons/croissant/files/main recorded 2026-09-26
Full file listing of mlcommons/croissant main, 782 paths; no ee/, enterprise/, commercial/ or proprietary/ directory
Adoption
2 medium confidencePyPI downloads of mlcroissant, the reference library, measure use of the format's tooling. Hubs that emit Croissant files without the library are not counted.
- https://pypistats.org/api/packages/mlcroissant/recent recorded 2026-09-26
last_month downloads = 28,529 for mlcroissant
Capability
3 high confidenceA Croissant file follows a public schema that anyone can validate with open tooling, so a reader can check its structure without the publisher. Its provenance and responsible-AI fields are still the publisher's own account, two steps below NVIDIA's hardware attestation.
- https://cdn.jsdelivr.net/gh/mlcommons/croissant@main/docs/croissant-rai-spec.md recorded 2026-09-26
Croissant Responsible AI (RAI) vocabulary specification
- https://cdn.jsdelivr.net/gh/mlcommons/croissant@main/health/croissant-validator-neurips/README.md recorded 2026-09-26
Croissant validator for NeurIPS dataset submissions
- https://cdn.jsdelivr.net/gh/mlcommons/croissant@main/README.md recorded 2026-09-26
"Croissant is a high-level format for machine learning datasets that combines metadata, resource file descriptions, data structure, and default ML semantics into a single file"; builds on schema.org