Developer ecosystem comparison
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Berri AI vs deepset

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 deepset (Building enterprise search systems powered by latest NLP & open-source.) both appear on the Smoower Developer Ecosystem Index.

Berri AI (rank #103) holds a narrow lead over deepset (rank #122) on the overall Smoower ecosystem score (55 vs 54). The gap of 1 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), deepset is ahead of Berri AI. On education (docs, guides and learning material for developers), Berri AI is slightly ahead of deepset. On community (issue response, PR reviews and discussion health), deepset is slightly ahead of Berri AI. On reach (how visible the ecosystem is beyond its own repos), deepset is slightly ahead of Berri AI. On momentum (release cadence and how fast the ecosystem moves), Berri AI is clearly ahead of deepset.

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. deepset shows 30,141 stars across 74 public repos, 17 active in the last 90 days and 171 external contributors.

Berri AI is the stronger read for anyone weighting momentum. deepset 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 AIdeepset
Ranking
Overall rank#103#122
Pillars
Overall5554
Code4456
Education7974
Community5153
Reach4349
Momentum6031
Builder experience00
Signals
Stars53,65230,141
Forks9,8994,301
Public repos5574
Active repos (90d)1917
External contributors254171
Avg polish4563
Avg AI-readiness3839

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