Langfuse vs TabbyML

Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) and TabbyML both appear on the Smoower Developer Ecosystem Index.

Langfuse (rank #63) holds a meaningful lead over TabbyML (rank #569) on the overall Smoower ecosystem score (59 vs 35). The gap of 24 points reflects composite signals across code, docs, community and reach.

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

Langfuse carries 32,648 GitHub stars across 25 public repos, with 22 repositories active in the last 90 days and 147 external contributors on record. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.

Langfuse 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.