eriklindernoren/ml-from-scratch vs significant-gravitas/autogpt
significant-gravitas/autogpt shows stronger signals overall
As of June 2026, autogpt shows healthier maintenance signals than ml-from-scratch. autogpt rates Healthy overall while ml-from-scratch rates Mixed. ml-from-scratch last saw a commit 2 years ago with 9+ active contributors, while autogpt was committed to today with 16+ active contributors. ml-from-scratch is MIT-licensed while autogpt 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.
eriklindernoren/ml-from-scratch →
Stale — last commit 3y ago
last commit was 3y ago; top contributor handles 91% of recent commits…
no tests detected; no CI workflows detected…
Documented and popular — useful reference codebase to read through.
last commit was 3y ago; no CI workflows detected
- ⚠Stale — last commit 3y ago
- ⚠Single-maintainer risk — top contributor 91% of recent commits
- ⚠No CI workflows detected
- ⚠No test directory detected
- ✓9 active contributors
- ✓MIT licensed
What would improve this?
- →Use as dependency Concerns → Mixed if: 1 commit in the last 365 days
- →Fork & modify Mixed → Healthy if: add a test suite
- →Deploy as-is Mixed → Healthy if: 1 commit in the last 180 days
Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests
significant-gravitas/autogpt →
Healthy across the board
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.
- ⚠Non-standard license (Other) — review terms
- ✓Last commit today
- ✓16 active contributors
- ✓Distributed ownership (top contributor 17% of recent commits)
- ✓Other licensed
- ✓CI configured
- ✓Tests present
What would improve this?
- →Use as dependency Concerns → Mixed if: clarify license terms
Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard
Signal-by-signal breakdown
| ml-from-scratch | autogpt | |
|---|---|---|
| Stars | 31,436 | 185,180 |
| Last commit | 2y ago | today |
| License | MIT | Other |
| Open issues | 73 | 449 |
| Has tests | — | ✓ |
| Has CI | — | ✓ |
| Test coverage | 0% | 2% |
| Dependency CVEs | No CVEs | No CVEs |
| Architecture grade | — | — |
| Cycles | — | — |
| Bottom-line | Mixed signals | Healthy signals |
Want the full analysis? eriklindernoren/ml-from-scratch · significant-gravitas/autogpt
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