Cursor vs TabbyML

Cursor and TabbyML both appear on the Smoower Developer Ecosystem Index.

Cursor (rank #430) holds a narrow lead over TabbyML (rank #569) on the overall Smoower ecosystem score (40 vs 35). The gap of 5 points reflects composite signals across code, docs, community and reach.

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

Cursor carries 44,397 GitHub stars across 8 public repos, with 5 repositories active in the last 90 days and 41 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

Cursor is the stronger read for anyone weighting momentum. TabbyML looks better where education 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.