The fastest way to take your LLM app to production
Berri AI vs vLLM
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Berri AI (The fastest way to take your LLM app to production) and vLLM both appear on the Smoower Developer Ecosystem Index.
vLLM (rank #95) holds a narrow lead over Berri AI (rank #192) on the overall Smoower ecosystem score (58 vs 51). The gap of 7 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 Berri AI. On education (docs, guides and learning material for developers), vLLM is clearly ahead of Berri AI. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of Berri AI. On reach (how visible the ecosystem is beyond its own repos), vLLM is ahead of Berri AI. On momentum (release cadence and how fast the ecosystem moves), Berri AI is clearly ahead of vLLM.
Berri AI carries 63,188 GitHub stars across 77 public repos, with 34 repositories active in the last 90 days and 186 external contributors on record. vLLM shows 131,658 stars across 52 public repos, 43 active in the last 90 days and 1,044 external contributors.
Berri AI 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 | Berri AI | vLLM |
|---|---|---|
| Ranking | ||
| Overall rank | #192 | #95 |
| Pillars | ||
| Overall | 51 | 58 |
| Code | 50 | 82 |
| Education | 53 | 74 |
| Community | 53 | 77 |
| Reach | 37 | 54 |
| Momentum | 69 | 45 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 63,188 | 131,658 |
| Forks | 13,262 | 34,577 |
| Public repos | 77 | 52 |
| Active repos (90d) | 34 | 43 |
| External contributors | 186 | 1,044 |
| Avg polish | 46 | 83 |
| Avg AI-readiness | 47 | 65 |