josephmisiti/awesome-machine-learning vs vinta/awesome-python
Both showing Mixed signals — pick on fit, not health
As of June 2026, awesome-machine-learning and awesome-python both show mixed maintenance signals. awesome-machine-learning last saw a commit 1 month ago with 45+ active contributors, while awesome-python was committed to 1 week ago with 25+ active contributors. Both use the Other license. 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
vinta/awesome-python →
Mixed signals — read the receipts
non-standard license (Other)
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 61% of recent commits
- ⚠Non-standard license (Other) — review terms
- ✓Last commit 6d ago
- ✓25+ active contributors
- ✓Other licensed
- ✓CI configured
- ✓Tests present
What would improve this?
- →Use as dependency Concerns → Mixed if: clarify license terms
Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests + OpenSSF Scorecard
Signal-by-signal breakdown
| awesome-machine-learning | awesome-python | |
|---|---|---|
| Stars | 72,424 | 303,480 |
| Last commit | 1mo ago | 7d ago |
| License | Other | Other |
| Open issues | 13 | 18 |
| Has tests | — | ✓ |
| Has CI | — | ✓ |
| Test coverage | 0% | 100% |
| Dependency CVEs | No CVEs | No CVEs |
| Architecture grade | — | C |
| Cycles | — | 0 |
| Bottom-line | Mixed signals | Mixed signals |
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