The intelligent knowledge platform
Mintlify vs vLLM
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Mintlify (The intelligent knowledge platform) and vLLM both appear on the Smoower Developer Ecosystem Index.
vLLM (rank #47) holds a modest lead over Mintlify (rank #165) on the overall Smoower ecosystem score (61 vs 51). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), vLLM is clearly ahead of Mintlify. On education (docs, guides and learning material for developers), vLLM is slightly ahead of Mintlify. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of Mintlify. On reach (how visible the ecosystem is beyond its own repos), Mintlify is ahead of vLLM. On momentum (release cadence and how fast the ecosystem moves), Mintlify is ahead of vLLM.
Mintlify carries 5,966 GitHub stars across 36 public repos, with 19 repositories active in the last 90 days and 32 external contributors on record. vLLM shows 115,730 stars across 43 public repos, 35 active in the last 90 days and 881 external contributors. The star gap on its own does not decide the comparison, but vLLM's footprint is roughly 19.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Mintlify is the stronger read for anyone weighting momentum. vLLM looks better where code quality is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Mintlify | vLLM |
|---|---|---|
| Ranking | ||
| Overall rank | #165 | #47 |
| Pillars | ||
| Overall | 51 | 61 |
| Code | 44 | 81 |
| Education | 66 | 71 |
| Community | 44 | 76 |
| Reach | 37 | 23 |
| Momentum | 60 | 42 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,966 | 115,730 |
| Forks | 1,035 | 26,361 |
| Public repos | 36 | 43 |
| Active repos (90d) | 19 | 35 |
| External contributors | 32 | 881 |
| Avg polish | 48 | 81 |
| Avg AI-readiness | 24 | 61 |