TabbyML vs Together

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

Together (rank #455) holds a narrow lead over TabbyML (rank #569) on the overall Smoower ecosystem score (39 vs 35). The gap of 4 points reflects composite signals across code, docs, community and reach.

On community (issue response, PR reviews and discussion health), TabbyML is ahead of Together. On reach (how visible the ecosystem is beyond its own repos), TabbyML is ahead of Together. On momentum (release cadence and how fast the ecosystem moves), Together is clearly ahead of TabbyML.

TabbyML carries 34,010 GitHub stars across 18 public repos, with 5 repositories active in the last 90 days and 12 external contributors on record. Together shows 20,220 stars across 101 public repos, 40 active in the last 90 days and 2 external contributors.

TabbyML is the stronger read for anyone weighting community. Together looks better where momentum 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.