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 #123) holds a modest lead over Berri AI (rank #267) on the overall Smoower ecosystem score (57 vs 48). The gap of 9 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), Berri AI is slightly ahead of vLLM. 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 ahead of vLLM.
Berri AI carries 60,882 GitHub stars across 69 public repos, with 22 repositories active in the last 90 days and 172 external contributors on record. vLLM shows 129,758 stars across 50 public repos, 41 active in the last 90 days and 1,004 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 | #267 | #123 |
| Pillars | ||
| Overall | 48 | 57 |
| Code | 47 | 81 |
| Education | 78 | 74 |
| Community | 51 | 77 |
| Reach | 30 | 47 |
| Momentum | 62 | 45 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 60,882 | 129,758 |
| Forks | 12,506 | 33,410 |
| Public repos | 69 | 50 |
| Active repos (90d) | 22 | 41 |
| External contributors | 172 | 1,004 |
| Avg polish | 47 | 82 |
| Avg AI-readiness | 43 | 62 |