litellm vs TabbyML

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

TabbyML (rank #569) holds a meaningful lead over litellm (rank #1114) on the overall Smoower ecosystem score (35 vs 7). The gap of 28 points reflects composite signals across code, docs, community and reach.

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

litellm carries 0 GitHub stars across 0 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

litellm is worth a look for teams already invested in its stack. 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.