Jina AI vs TabbyML

Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) and TabbyML both appear on the Smoower Developer Ecosystem Index.

Jina AI (rank #190) holds a modest lead over TabbyML (rank #569) on the overall Smoower ecosystem score (50 vs 35). 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), Jina AI is clearly ahead of TabbyML. On education (docs, guides and learning material for developers), Jina AI is slightly ahead of TabbyML. On community (issue response, PR reviews and discussion health), TabbyML is slightly ahead of Jina AI. On reach (how visible the ecosystem is beyond its own repos), Jina AI is ahead of TabbyML. On momentum (release cadence and how fast the ecosystem moves), Jina AI is ahead of TabbyML.

Jina AI carries 72,580 GitHub stars across 266 public repos, with 13 repositories active in the last 90 days and 8 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

Jina AI is the stronger read for anyone weighting code quality. TabbyML looks better where community 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.