mlc-ai vs LlamaIndex

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

LlamaIndex (rank #63) holds a modest lead over mlc-ai (rank #209) on the overall Smoower ecosystem score (59 vs 49). 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), LlamaIndex is ahead of mlc-ai. On education (docs, guides and learning material for developers), mlc-ai is slightly ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), mlc-ai is ahead of LlamaIndex. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is clearly ahead of mlc-ai. On momentum (release cadence and how fast the ecosystem moves), LlamaIndex is clearly 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. LlamaIndex shows 99,809 stars across 135 public repos, 48 active in the last 90 days and 241 external contributors.

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