mlc-ai vs Together

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

mlc-ai (rank #209) holds a modest lead over Together (rank #455) on the overall Smoower ecosystem score (49 vs 39). The gap of 10 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 Together. On education (docs, guides and learning material for developers), mlc-ai is ahead of Together. On community (issue response, PR reviews and discussion health), mlc-ai is clearly ahead of Together. On reach (how visible the ecosystem is beyond its own repos), Together is ahead of mlc-ai. On momentum (release cadence and how fast the ecosystem moves), Together is ahead of mlc-ai.

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. Together shows 20,220 stars across 101 public repos, 40 active in the last 90 days and 2 external contributors.

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