d2l-ai/d2l-zh vs stability-ai/generative-models
stability-ai/generative-models shows stronger signals overall
As of June 2026, generative-models shows healthier maintenance signals than d2l-zh. generative-models rates Healthy overall while d2l-zh rates Mixed. d2l-zh last saw a commit 1 year ago with 17+ active contributors, while generative-models last saw a commit 6 months ago with 24+ active contributors. d2l-zh is Apache-2.0-licensed while generative-models is MIT-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.
d2l-ai/d2l-zh →
Stale — last commit 2y ago
last commit was 2y ago; 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.
- ⚠Stale — last commit 2y ago
- ⚠Concentrated ownership — top contributor handles 61% of recent commits
- ⚠No test directory detected
- ✓17 active contributors
- ✓Apache-2.0 licensed
- ✓CI configured
What would improve this?
- →Use as dependency Mixed → Healthy if: 1 commit in the last 365 days
Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests
stability-ai/generative-models →
Healthy across all four use cases
Permissive license, no critical CVEs, actively maintained — safe to depend on.
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.
- ⚠Slowing — last commit 5mo ago
- ⚠Scorecard: default branch unprotected (0/10)
- ✓Last commit 5mo ago
- ✓24+ active contributors
- ✓Distributed ownership (top contributor 15% of recent commits)
- ✓MIT licensed
- ✓CI configured
- ✓Tests present
Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard
Signal-by-signal breakdown
| d2l-zh | generative-models | |
|---|---|---|
| Stars | 77,727 | 27,151 |
| Last commit | 1y ago | 6mo ago |
| License | Apache-2.0 | MIT |
| Open issues | 126 | 340 |
| Has tests | — | ✓ |
| Has CI | ✓ | ✓ |
| Test coverage | 0% | 13% |
| Dependency CVEs | No CVEs | No CVEs |
| Architecture grade | — | — |
| Cycles | — | — |
| Bottom-line | Mixed signals | Healthy signals |
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