Continue vs TabbyML

Continue (Pioneering open-source coding agent) and TabbyML both appear on the Smoower Developer Ecosystem Index.

Continue (rank #189) 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), Continue is ahead of TabbyML. On education (docs, guides and learning material for developers), Continue is clearly ahead of TabbyML. On community (issue response, PR reviews and discussion health), TabbyML is slightly ahead of Continue. On reach (how visible the ecosystem is beyond its own repos), TabbyML is slightly ahead of Continue. On momentum (release cadence and how fast the ecosystem moves), Continue is ahead of TabbyML.

Continue carries 34,981 GitHub stars across 8 public repos, with 3 repositories active in the last 90 days and 136 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

Continue is the stronger read for anyone weighting education. 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.