Open source WebRTC and realtime AI infrastructure
Vector Database for Enterprise-grade AI and LLM applications
LiveKit vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LiveKit (Open source WebRTC and realtime AI infrastructure) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
LiveKit (rank #63) holds a narrow lead over Zilliz (rank #122) on the overall Smoower ecosystem score (59 vs 54). The gap of 5 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Zilliz is slightly ahead of LiveKit. On education (docs, guides and learning material for developers), LiveKit is slightly ahead of Zilliz. On community (issue response, PR reviews and discussion health), Zilliz is slightly ahead of LiveKit. On reach (how visible the ecosystem is beyond its own repos), LiveKit is ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Zilliz is slightly 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. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors.
LiveKit is the stronger read for anyone weighting reach. Zilliz looks better where code quality 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 | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #122 |
| Pillars | ||
| Overall | 59 | 54 |
| Code | 62 | 67 |
| Education | 85 | 83 |
| Community | 46 | 51 |
| Reach | 48 | 29 |
| Momentum | 49 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 39,530 | 37,860 |
| Forks | 9,312 | 3,995 |
| Public repos | 108 | 71 |
| Active repos (90d) | 59 | 29 |
| External contributors | 247 | 105 |
| Avg polish | 62 | 64 |
| Avg AI-readiness | 60 | 59 |