josephmisiti/awesome-machine-learning vs karpathy/nanogpt
Both showing Mixed signals — pick on fit, not health
As of June 2026, awesome-machine-learning and nanogpt both show mixed maintenance signals. awesome-machine-learning last saw a commit 1 month ago with 45+ active contributors, while nanogpt last saw a commit 7 months ago with 26+ active contributors. awesome-machine-learning is Other-licensed while nanogpt is MIT-licensed. Neither has known critical or high-severity CVEs in its dependency tree.
Informational only. RepoPilot summarises public signals at the time of analysis. Not professional, security, or legal advice.
josephmisiti/awesome-machine-learning →
Mixed signals — read the receipts
non-standard license (Other); no tests detected…
Has a license, tests, and CI — clean foundation to fork and modify.
Documented and popular — useful reference codebase to read through.
No critical CVEs, sane security posture — runnable as-is.
- ⚠Concentrated ownership — top contributor handles 51% of recent commits
- ⚠Non-standard license (Other) — review terms
- ⚠No CI workflows detected
- ⚠No test directory detected
- ✓Last commit 2w ago
- ✓45+ active contributors
- ✓Other licensed
What would improve this?
- →Use as dependency Concerns → Mixed if: clarify license terms
Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests
karpathy/nanogpt →
Slowing — last commit 6mo ago
no tests detected; no CI workflows detected
Has a license, tests, and CI — clean foundation to fork and modify.
Documented and popular — useful reference codebase to read through.
No critical CVEs, sane security posture — runnable as-is.
- ⚠Slowing — last commit 6mo ago
- ⚠Concentrated ownership — top contributor handles 66% of recent commits
- ⚠No CI workflows detected
- ⚠No test directory detected
- ✓Last commit 6mo ago
- ✓26+ active contributors
- ✓MIT licensed
What would improve this?
- →Use as dependency Mixed → Healthy if: add a test suite
Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests
Signal-by-signal breakdown
| awesome-machine-learning | nanogpt | |
|---|---|---|
| Stars | 72,424 | 57,744 |
| Last commit | 1mo ago | 7mo ago |
| License | Other | MIT |
| Open issues | 13 | 347 |
| Has tests | — | — |
| Has CI | — | — |
| Test coverage | 0% | 0% |
| Dependency CVEs | No CVEs | No CVEs |
| Architecture grade | — | — |
| Cycles | — | — |
| Bottom-line | Mixed signals | Mixed signals |
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