josephmisiti/awesome-machine-learning vs megadose/holehe
Both showing Mixed signals — pick on fit, not health
As of June 2026, awesome-machine-learning and holehe both show mixed maintenance signals. awesome-machine-learning last saw a commit 1 month ago with 45+ active contributors, while holehe last saw a commit 1 year ago with 22+ active contributors. awesome-machine-learning is Other-licensed while holehe is GPL-3.0-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
megadose/holehe →
Stale — last commit 2y ago
copyleft license (GPL-3.0) — review compatibility; last commit was 2y ago…
Has a license, tests, and CI — clean foundation to fork and modify.
Documented and popular — useful reference codebase to read through.
last commit was 2y ago; Scorecard "Token-Permissions" is 0/10
- ⚠Stale — last commit 2y ago
- ⚠Concentrated ownership — top contributor handles 56% of recent commits
- ⚠GPL-3.0 is copyleft — check downstream compatibility
- ⚠No test directory detected
- ⚠Scorecard: marked unmaintained (0/10)
- ✓22+ active contributors
- ✓GPL-3.0 licensed
- ✓CI configured
What would improve this?
- →Use as dependency Concerns → Mixed if: relicense under MIT/Apache-2.0 (rare for established libs)
- →Deploy as-is Mixed → Healthy if: 1 commit in the last 180 days
Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests + OpenSSF Scorecard
Signal-by-signal breakdown
| awesome-machine-learning | holehe | |
|---|---|---|
| Stars | 72,424 | 10,926 |
| Last commit | 1mo ago | 1y ago |
| License | Other | GPL-3.0 |
| Open issues | 13 | 74 |
| 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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