fxsjy/jieba vs josephmisiti/awesome-machine-learning
Both showing Mixed signals — pick on fit, not health
As of June 2026, jieba and awesome-machine-learning both show mixed maintenance signals. jieba last saw a commit 1 year ago with 24+ active contributors, while awesome-machine-learning last saw a commit 1 month ago with 45+ active contributors. jieba is MIT-licensed while awesome-machine-learning is Other-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.
fxsjy/jieba →
Stale — last commit 2y ago
last commit was 2y ago; 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.
last commit was 2y ago; no CI workflows detected
- ⚠Stale — last commit 2y ago
- ⚠Concentrated ownership — top contributor handles 50% of recent commits
- ⚠No CI workflows detected
- ✓24+ active contributors
- ✓MIT licensed
- ✓Tests present
What would improve this?
- →Use as dependency Mixed → Healthy if: 1 commit in the last 365 days
- →Deploy as-is Mixed → Healthy if: 1 commit in the last 180 days
Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests
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
Signal-by-signal breakdown
| jieba | awesome-machine-learning | |
|---|---|---|
| Stars | 34,932 | 72,424 |
| Last commit | 1y ago | 1mo ago |
| License | MIT | Other |
| Open issues | 700 | 13 |
| Has tests | ✓ | — |
| Has CI | — | — |
| Test coverage | 100% | 0% |
| Dependency CVEs | No CVEs | No CVEs |
| Architecture grade | — | — |
| Cycles | — | — |
| Bottom-line | Mixed signals | Mixed signals |
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