Developer ecosystem comparison
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Berri AI vs Weaviate

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 Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.

Berri AI (rank #103) holds a narrow lead over Weaviate (rank #152) on the overall Smoower ecosystem score (55 vs 52). The gap of 3 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Weaviate is slightly ahead of Berri AI. On education (docs, guides and learning material for developers), Weaviate is slightly ahead of Berri AI. On community (issue response, PR reviews and discussion health), Berri AI is slightly ahead of Weaviate. On reach (how visible the ecosystem is beyond its own repos), Berri AI is slightly ahead of Weaviate. On momentum (release cadence and how fast the ecosystem moves), Weaviate is slightly ahead of Berri 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. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 external contributors.

Berri AI is the stronger read for anyone weighting community. Weaviate 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

MetricBerri AIWeaviate
Ranking
Overall rank#103#152
Pillars
Overall5552
Code4452
Education7984
Community5148
Reach4341
Momentum6068
Builder experience00
Signals
Stars53,65230,251
Forks9,8993,646
Public repos55140
Active repos (90d)1932
External contributors25451
Avg polish4558
Avg AI-readiness3834

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