Sardine vs TabbyML

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

Sardine and TabbyML sit at essentially the same overall ecosystem score (35), which is unusual and worth reading through the pillars below.

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

Sardine carries 19 GitHub stars across 55 public repos, with 5 repositories active in the last 90 days and 5 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 TabbyML's footprint is roughly 1790.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Sardine is the stronger read for anyone weighting education. TabbyML looks better where community 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.