huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

167.7k stars · 34.9k forks · Python

Healthy

Healthy: actively maintained by 133 people, no known risks.

Why

No rule fired.

What would change this

Maintenance

Partial

Active

Human commits, 30 days
337
Human commits, 90 days
873
Human commits, 365 days
3.3k
Bot share of commits, 365 days
5%
Last commit
Oct 14, 2026 (20 hours ago)
Last human commit
Oct 14, 2026 (20 hours ago)
Authors, 90 days
133
Last release
Oct 6, 2026 (8 days ago)
Median PR merge time
11 hours

Responsiveness: of 29 recent issues, 55% got a maintainer reply. Median first response: 2 days.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete
Owner
Organization
Commits sampled
476 since Oct 14, 2025
Authors for half of commits
12
Authors for 80% of commits
44
Contributors
437

Top committers

Sources: Commits, Contributors

Stars

Complete

Organic, confidence high

Stars per week, 2018-10-28 to 2026-10-11. 27 weeks overlap a burst.Peak 2k a week2018-10-282026-10-11
Bars show stars gained each week. Orange bars overlap a burst.

Bursts

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

Sources: How star history is analyzed

Risk

Complete

Flags

No risk flags.

License

Now
Apache-2.0 (OSI-approved)
A year ago
Apache-2.0 (OSI-approved)

Packages

Package and advisory data: deps.dev and OSV.

OpenSSF Scorecard: 6.4 out of 10 (via deps.dev).

Sources: GitHub: huggingface/transformers, deps.dev: PyPI transformers

Badge

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Earlier verdicts

Computed 20 hours ago · method 2026.10.2