josephmisiti/awesome-machine-learning vs meta-llama/llama
Both showing Mixed signals — pick on fit, not health
As of June 2026, awesome-machine-learning and llama both show mixed maintenance signals. awesome-machine-learning last saw a commit 1 month ago with 45+ active contributors, while llama last saw a commit 1 year ago with 33+ 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
meta-llama/llama →
Stale — last commit 1y ago
non-standard license (Other); last commit was 1y 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 1y ago; no CI workflows detected
- ⚠Stale — last commit 1y ago
- ⚠Non-standard license (Other) — review terms
- ⚠No CI workflows detected
- ⚠No test directory detected
- ✓33+ active contributors
- ✓Distributed ownership (top contributor 38% of recent commits)
- ✓Other licensed
What would improve this?
- →Use as dependency Concerns → Mixed if: clarify license terms
- →Deploy as-is Mixed → Healthy if: 1 commit in the last 180 days
Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests
Signal-by-signal breakdown
| awesome-machine-learning | llama | |
|---|---|---|
| Stars | 72,424 | 59,400 |
| Last commit | 1mo ago | 1y ago |
| License | Other | Other |
| Open issues | 13 | 518 |
| 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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