deepseek-ai/deepseek-v3 vs yunjey/pytorch-tutorial
deepseek-ai/deepseek-v3 shows stronger signals overall
As of June 2026, deepseek-v3 shows healthier maintenance signals than pytorch-tutorial. deepseek-v3 rates Healthy overall while pytorch-tutorial rates Mixed. deepseek-v3 last saw a commit 10 months ago with 26+ active contributors, while pytorch-tutorial last saw a commit 2 years ago with 25+ active contributors. Both use the MIT 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.
deepseek-ai/deepseek-v3 →
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 8mo ago
- ⚠No test directory detected
- ✓Last commit 8mo ago
- ✓26+ active contributors
- ✓Distributed ownership (top contributor 21% of recent commits)
- ✓MIT licensed
- ✓CI configured
Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests
yunjey/pytorch-tutorial →
Stale — last commit 3y ago
last commit was 3y ago; no tests detected…
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
- ⚠Concentrated ownership — top contributor handles 69% of recent commits
- ⚠No CI workflows detected
- ⚠No test directory detected
- ✓25+ active contributors
- ✓MIT licensed
What would improve this?
- →Use as dependency Mixed → Healthy if: 1 commit in the last 365 days; add a test suite
- →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
Signal-by-signal breakdown
| deepseek-v3 | pytorch-tutorial | |
|---|---|---|
| Stars | 103,430 | 32,323 |
| Last commit | 10mo ago | 2y ago |
| License | MIT | MIT |
| Open issues | 177 | 88 |
| Has tests | — | — |
| Has CI | ✓ | — |
| Test coverage | 0% | 0% |
| Dependency CVEs | No CVEs | No CVEs |
| Architecture grade | — | — |
| Cycles | — | — |
| Bottom-line | Healthy signals | Mixed signals |
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