Open source WebRTC and realtime AI infrastructure
LiveKit vs Qdrant
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LiveKit (Open source WebRTC and realtime AI infrastructure) and Qdrant (Creating advanced vector search technology) both appear on the Smoower Developer Ecosystem Index.
Qdrant (rank #5) holds a modest lead over LiveKit (rank #63) on the overall Smoower ecosystem score (71 vs 59). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qdrant is slightly ahead of LiveKit. On education (docs, guides and learning material for developers), Qdrant is slightly ahead of LiveKit. On community (issue response, PR reviews and discussion health), Qdrant is ahead of LiveKit. On reach (how visible the ecosystem is beyond its own repos), Qdrant is slightly ahead of LiveKit. On momentum (release cadence and how fast the ecosystem moves), Qdrant is ahead of LiveKit.
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. Qdrant shows 44,913 stars across 132 public repos, 89 active in the last 90 days and 99 external contributors.
LiveKit is worth a look for teams already invested in its stack. Qdrant looks better where momentum 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 | Qdrant |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #5 |
| Pillars | ||
| Overall | 59 | 71 |
| Code | 62 | 70 |
| Education | 85 | 86 |
| Community | 46 | 59 |
| Reach | 48 | 50 |
| Momentum | 49 | 66 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 39,530 | 44,913 |
| Forks | 9,312 | 4,409 |
| Public repos | 108 | 132 |
| Active repos (90d) | 59 | 89 |
| External contributors | 247 | 99 |
| Avg polish | 62 | 70 |
| Avg AI-readiness | 60 | 49 |