LangGenius vs TabbyML

LangGenius (Dify is an LLMOps platform that helps you build GPT-based applications easily and intuitively.) and TabbyML both appear on the Smoower Developer Ecosystem Index.

LangGenius (rank #152) holds a modest lead over TabbyML (rank #569) on the overall Smoower ecosystem score (52 vs 35). The gap of 17 points reflects composite signals across code, docs, community and reach.

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

LangGenius carries 153,705 GitHub stars across 39 public repos, with 26 repositories active in the last 90 days and 309 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 LangGenius's footprint is roughly 4.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

LangGenius is the stronger read for anyone weighting code quality. 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.