deepset vs TabbyML

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

deepset (rank #122) holds a modest lead over TabbyML (rank #569) on the overall Smoower ecosystem score (54 vs 35). The gap of 19 points reflects composite signals across code, docs, community and reach.

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

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

deepset is the stronger read for anyone weighting code quality. TabbyML makes more sense for teams already using its adjacent tools. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.