Vector Database for Enterprise-grade AI and LLM applications
vLLM vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
vLLM and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
vLLM (rank #47) holds a narrow lead over Zilliz (rank #122) on the overall Smoower ecosystem score (61 vs 54). The gap of 7 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), vLLM is ahead of Zilliz. On education (docs, guides and learning material for developers), Zilliz is ahead of vLLM. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), Zilliz is slightly ahead of vLLM. On momentum (release cadence and how fast the ecosystem moves), Zilliz is slightly ahead of vLLM.
vLLM carries 115,730 GitHub stars across 43 public repos, with 35 repositories active in the last 90 days and 881 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors. The star gap on its own does not decide the comparison, but vLLM's footprint is roughly 3.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
vLLM is the stronger read for anyone weighting community. 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 | vLLM | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #47 | #122 |
| Pillars | ||
| Overall | 61 | 54 |
| Code | 81 | 67 |
| Education | 71 | 83 |
| Community | 76 | 51 |
| Reach | 23 | 29 |
| Momentum | 42 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 115,730 | 37,860 |
| Forks | 26,361 | 3,995 |
| Public repos | 43 | 71 |
| Active repos (90d) | 35 | 29 |
| External contributors | 881 | 105 |
| Avg polish | 81 | 64 |
| Avg AI-readiness | 61 | 59 |