Open WebUI vs TabbyML

Open WebUI (On a mission to build the best AI user interface.) and TabbyML both appear on the Smoower Developer Ecosystem Index.

Open WebUI (rank #189) holds a modest lead over TabbyML (rank #569) on the overall Smoower ecosystem score (50 vs 35). The gap of 15 points reflects composite signals across code, docs, community and reach.

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

Open WebUI carries 159,650 GitHub stars across 25 public repos, with 12 repositories active in the last 90 days and 198 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 Open WebUI's footprint is roughly 4.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Open WebUI is the stronger read for anyone weighting education. 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.