Build AI Agents, Visually
Vector Database for Enterprise-grade AI and LLM applications
FlowiseAI vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
FlowiseAI (Build AI Agents, Visually) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
Zilliz (rank #122) holds a narrow lead over FlowiseAI (rank #237) on the overall Smoower ecosystem score (54 vs 48). The gap of 6 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Zilliz is clearly ahead of FlowiseAI. On education (docs, guides and learning material for developers), Zilliz is slightly ahead of FlowiseAI. On community (issue response, PR reviews and discussion health), FlowiseAI is slightly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), FlowiseAI is clearly ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Zilliz is clearly ahead of FlowiseAI.
FlowiseAI carries 55,407 GitHub stars across 15 public repos, with 6 repositories active in the last 90 days and 149 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors.
FlowiseAI 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 | FlowiseAI | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #122 |
| Pillars | ||
| Overall | 48 | 54 |
| Code | 37 | 67 |
| Education | 75 | 83 |
| Community | 55 | 51 |
| Reach | 51 | 29 |
| Momentum | 28 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 55,407 | 37,860 |
| Forks | 26,746 | 3,995 |
| Public repos | 15 | 71 |
| Active repos (90d) | 6 | 29 |
| External contributors | 149 | 105 |
| Avg polish | 31 | 64 |
| Avg AI-readiness | 35 | 59 |