Vector Database for Enterprise-grade AI and LLM applications
LlamaIndex vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LlamaIndex and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
LlamaIndex (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 LlamaIndex. On education (docs, guides and learning material for developers), Zilliz is ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), LlamaIndex is slightly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is clearly ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), LlamaIndex is ahead of Zilliz.
LlamaIndex carries 99,809 GitHub stars across 135 public repos, with 48 repositories active in the last 90 days and 241 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors.
LlamaIndex is the stronger read for anyone weighting reach. Zilliz looks better where education 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 | LlamaIndex | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #122 |
| Pillars | ||
| Overall | 59 | 54 |
| Code | 63 | 67 |
| Education | 69 | 83 |
| Community | 54 | 51 |
| Reach | 50 | 29 |
| Momentum | 62 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 99,809 | 37,860 |
| Forks | 14,240 | 3,995 |
| Public repos | 135 | 71 |
| Active repos (90d) | 48 | 29 |
| External contributors | 241 | 105 |
| Avg polish | 64 | 64 |
| Avg AI-readiness | 49 | 59 |