tensorflow/models
Models and examples built with TensorFlow
77.6k stars · 44.8k forks · Python
Healthy
Healthy: actively maintained by 7 people, no known risks.
Why
No rule fired.
What would change this
- A dormant maintenance status, a deprecated or archived package, a successor link, or a critical advisory would change this.
Maintenance
CompleteActive
- Human commits, 30 days
- 7
- Human commits, 90 days
- 51
- Human commits, 365 days
- 130
- Bot share of commits, 365 days
- 0%
- Last commit
- Oct 7, 2026 (7 days ago)
- Last human commit
- Oct 7, 2026 (7 days ago)
- Authors, 90 days
- 7
- Last release
- Feb 11, 2026 (8 months ago)
- Median PR merge time
- 9 days
Responsiveness: of 2 recent issues, n/a got a maintainer reply. Median first response: n/a.
- Only 2 recent issues can be checked for a response, too few to measure response time.
Sources: Commits, Releases, Merged pull requests, Issues
People
Complete- Owner
- Organization
- Commits sampled
- 31 since Oct 14, 2025
- Authors for half of commits
- 4
- Authors for 80% of commits
- 9
- Contributors
- 361
Top committers
- gurusai-voleti: 19% of commits
- oprypin: 16% of commits
- TF Object Detection Team: 10% of commits
- ahmed-akader: 6% of commits
- AleksMat: 6% of commits
- Commits pushed by accounts that sync other people's work, such as translation platforms, are left out of the shares.
Sources: Commits, Contributors
Stars
CompleteMostly organic, confidence high
Bursts
- Mar 11, 2016 to Mar 11, 2016: about 14 more stars than usual, peak 15 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- May 12, 2016 to Jun 3, 2016: about 4.4k more stars than usual, peak 1.5k in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
- Aug 8, 2016 to Aug 11, 2016: about 119 more stars than usual, peak 51 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Aug 24, 2016 to Aug 26, 2016: about 271 more stars than usual, peak 154 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Sep 23, 2016 to Sep 30, 2016: about 481 more stars than usual, peak 160 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.
- May 7, 2017 to May 10, 2017: about 183 more stars than usual, peak 88 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.
- Jun 15, 2017 to Jun 23, 2017: about 1.3k more stars than usual, peak 272 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.
- Mar 15, 2018 to Mar 16, 2018: about 285 more stars than usual, peak 287 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Sep 22, 2020 to Sep 24, 2020: about 76 more stars than usual, peak 51 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Dec 30, 2020 to Jan 1, 2021: about 221 more stars than usual, peak 135 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
- Oct 29, 2024 to Oct 30, 2024: about 109 more stars than usual, peak 95 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
- 1 stars GitHub has since removed (tracked since Oct 14, 2026).
Anyone can buy stars for any repo; bursts alone don't prove the owner did.
- Some star bursts have no matching forks, issues, releases, or launch coverage.
- Anyone can buy stars for any repo, so this describes the star history only.
Sources: How star history is analyzed
Risk
CompleteFlags
No risk flags.
License
- Now
- Apache-2.0 (OSI-approved)
- A year ago
- Apache-2.0 (OSI-approved)
Packages
No published packages found.
OpenSSF Scorecard: 7.3 out of 10 (via deps.dev).
Sources: GitHub: tensorflow/models
Badge
Add this to a README to show the current verdict:
[](https://reporadar.ai/tensorflow/models)Earlier verdicts
- Oct 14, 2026: Healthy
- Oct 13, 2026: Caution
- Oct 13, 2026: Caution
Computed 19 hours ago · method 2026.10.2