Open source WebRTC and realtime AI infrastructure
LiveKit vs Replicate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LiveKit (Open source WebRTC and realtime AI infrastructure) and Replicate (Run AI with an API) both appear on the Smoower Developer Ecosystem Index.
LiveKit (rank #63) holds a modest lead over Replicate (rank #189) on the overall Smoower ecosystem score (59 vs 50). The gap of 9 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LiveKit is slightly ahead of Replicate. On education (docs, guides and learning material for developers), LiveKit is ahead of Replicate. On community (issue response, PR reviews and discussion health), Replicate is slightly ahead of LiveKit. On reach (how visible the ecosystem is beyond its own repos), Replicate is clearly ahead of LiveKit. On momentum (release cadence and how fast the ecosystem moves), LiveKit is ahead of Replicate.
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. Replicate shows 25,062 stars across 169 public repos, 10 active in the last 90 days and 12 external contributors.
LiveKit is the stronger read for anyone weighting momentum. Replicate 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.
Side-by-side metrics
| Metric | LiveKit | Replicate |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #189 |
| Pillars | ||
| Overall | 59 | 50 |
| Code | 62 | 55 |
| Education | 85 | 72 |
| Community | 46 | 48 |
| Reach | 48 | 74 |
| Momentum | 49 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 39,530 | 25,062 |
| Forks | 9,312 | 4,596 |
| Public repos | 108 | 169 |
| Active repos (90d) | 59 | 10 |
| External contributors | 247 | 12 |
| Avg polish | 62 | 60 |
| Avg AI-readiness | 60 | 33 |