The fastest way to take your LLM app to production
Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)
Berri AI vs Jina AI
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 Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) both appear on the Smoower Developer Ecosystem Index.
Berri AI (rank #103) holds a narrow lead over Jina AI (rank #189) on the overall Smoower ecosystem score (55 vs 50). The gap of 5 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Jina AI is ahead of Berri AI. On education (docs, guides and learning material for developers), Berri AI is clearly ahead of Jina AI. On community (issue response, PR reviews and discussion health), Berri AI is ahead of Jina AI. On reach (how visible the ecosystem is beyond its own repos), Jina AI is ahead of Berri AI. On momentum (release cadence and how fast the ecosystem moves), Berri AI is clearly ahead of Jina AI.
Berri AI carries 53,652 GitHub stars across 55 public repos, with 19 repositories active in the last 90 days and 254 external contributors on record. Jina AI shows 72,580 stars across 266 public repos, 13 active in the last 90 days and 8 external contributors.
Berri AI is the stronger read for anyone weighting momentum. Jina AI 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 | Jina AI |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #189 |
| Pillars | ||
| Overall | 55 | 50 |
| Code | 44 | 61 |
| Education | 79 | 57 |
| Community | 51 | 41 |
| Reach | 43 | 58 |
| Momentum | 60 | 26 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 53,652 | 72,580 |
| Forks | 9,899 | 7,652 |
| Public repos | 55 | 266 |
| Active repos (90d) | 19 | 13 |
| External contributors | 254 | 8 |
| Avg polish | 45 | 63 |
| Avg AI-readiness | 38 | 47 |