Open source WebRTC and realtime AI infrastructure
LiveKit vs mlc-ai
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LiveKit (Open source WebRTC and realtime AI infrastructure) and mlc-ai both appear on the Smoower Developer Ecosystem Index.
LiveKit (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), LiveKit is ahead of mlc-ai. On education (docs, guides and learning material for developers), LiveKit is ahead of mlc-ai. On community (issue response, PR reviews and discussion health), mlc-ai is clearly ahead of LiveKit. On reach (how visible the ecosystem is beyond its own repos), LiveKit is clearly ahead of mlc-ai. On momentum (release cadence and how fast the ecosystem moves), LiveKit is ahead of mlc-ai.
LiveKit carries 39,530 GitHub stars across 108 public repos, with 59 repositories active in the last 90 days and 247 external contributors on record. mlc-ai shows 51,532 stars across 38 public repos, 15 active in the last 90 days and 45 external contributors.
LiveKit is the stronger read for anyone weighting reach. mlc-ai 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.
Side-by-side metrics
| Metric | LiveKit | mlc-ai |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #209 |
| Pillars | ||
| Overall | 59 | 49 |
| Code | 62 | 47 |
| Education | 85 | 74 |
| Community | 46 | 74 |
| Reach | 48 | 17 |
| Momentum | 49 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 39,530 | 51,532 |
| Forks | 9,312 | 4,729 |
| Public repos | 108 | 38 |
| Active repos (90d) | 59 | 15 |
| External contributors | 247 | 45 |
| Avg polish | 62 | 48 |
| Avg AI-readiness | 60 | 42 |