Berri AI vs TabbyML

Berri AI (The fastest way to take your LLM app to production) and TabbyML both appear on the Smoower Developer Ecosystem Index.

Berri AI (rank #103) holds a modest lead over TabbyML (rank #569) on the overall Smoower ecosystem score (55 vs 35). The gap of 20 points reflects composite signals across code, docs, community and reach.

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

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. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

Berri AI is the stronger read for anyone weighting momentum. TabbyML looks better where reach 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.