The fastest way to take your LLM app to production
Berri AI vs PolyAI
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 PolyAI both appear on the Smoower Developer Ecosystem Index.
Berri AI (rank #103) holds a modest lead over PolyAI (rank #430) on the overall Smoower ecosystem score (55 vs 40). The gap of 15 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), PolyAI is slightly ahead of Berri AI. On education (docs, guides and learning material for developers), Berri AI is slightly ahead of PolyAI. On community (issue response, PR reviews and discussion health), Berri AI is ahead of PolyAI. On reach (how visible the ecosystem is beyond its own repos), Berri AI is clearly ahead of PolyAI.
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. PolyAI shows 86 stars across 6 public repos, 6 active in the last 90 days and 19 external contributors. The star gap on its own does not decide the comparison, but Berri AI's footprint is roughly 623.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Berri AI is the stronger read for anyone weighting reach. PolyAI 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 | PolyAI |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #430 |
| Pillars | ||
| Overall | 55 | 40 |
| Code | 44 | 47 |
| Education | 79 | 71 |
| Community | 51 | 38 |
| Reach | 43 | 16 |
| Momentum | 60 | 60 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 53,652 | 86 |
| Forks | 9,899 | 15 |
| Public repos | 55 | 6 |
| Active repos (90d) | 19 | 6 |
| External contributors | 254 | 19 |
| Avg polish | 45 | 46 |
| Avg AI-readiness | 38 | 53 |