mlc-ai vs Sardine

mlc-ai and Sardine both appear on the Smoower Developer Ecosystem Index.

mlc-ai (rank #209) holds a modest lead over Sardine (rank #569) on the overall Smoower ecosystem score (49 vs 35). The gap of 14 points reflects composite signals across code, docs, community and reach.

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

mlc-ai carries 51,532 GitHub stars across 38 public repos, with 15 repositories active in the last 90 days and 45 external contributors on record. Sardine shows 19 stars across 55 public repos, 5 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but mlc-ai's footprint is roughly 2712.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

mlc-ai is the stronger read for anyone weighting community. Sardine 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.