Anthropic vs TabbyML

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

Anthropic (rank #31) holds a meaningful lead over TabbyML (rank #569) on the overall Smoower ecosystem score (56 vs 35). The gap of 21 points reflects composite signals across code, docs, community and reach.

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

Anthropic carries 584,923 GitHub stars across 93 public repos, with 47 repositories active in the last 90 days and 873 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors. The star gap on its own does not decide the comparison, but Anthropic's footprint is roughly 17.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Anthropic is the stronger read for anyone weighting momentum. TabbyML looks better where reach 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.