facebookresearch/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

55k stars · 6.4k forks · Jupyter Notebook

Avoid

Avoid: no human commits in a year, and most questions go unanswered.

Why

What would change this

Maintenance

Complete

Dormant

Human commits, 30 days
0
Human commits, 90 days
0
Human commits, 365 days
0
Bot share of commits, 365 days
0%
Last commit
Sep 18, 2024 (2 years ago)
Last human commit
Sep 18, 2024 (2 years ago)
Authors, 90 days
0
Last release
none found
Median PR merge time
3 days

Responsiveness: of 10 recent issues, 0% got a maintainer reply. Median first response: n/a.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete
Owner
Organization
Commits sampled
49 since Apr 5, 2023
Authors for half of commits
3
Authors for 80% of commits
8
Contributors
17

Top committers

Sources: Commits, Contributors

Stars

Complete

Organic, confidence high

Stars per week, 2023-03-19 to 2026-10-11. 3 weeks overlap a burst.Peak 18.8k a week2023-03-192026-10-11
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

License

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

Packages

No published packages found.

OpenSSF Scorecard: 3.6 out of 10 (via deps.dev).

Sources: GitHub: facebookresearch/segment-anything

Badge

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Earlier verdicts

Computed 17 hours ago · method 2026.10.2