Build AI Agents, Visually
FlowiseAI vs mlc-ai
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
FlowiseAI (Build AI Agents, Visually) and mlc-ai both appear on the Smoower Developer Ecosystem Index.
mlc-ai (rank #209) holds a narrow lead over FlowiseAI (rank #237) on the overall Smoower ecosystem score (49 vs 48). The gap of 1 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), mlc-ai is ahead of FlowiseAI. On education (docs, guides and learning material for developers), FlowiseAI is slightly ahead of mlc-ai. On community (issue response, PR reviews and discussion health), mlc-ai is ahead of FlowiseAI. On reach (how visible the ecosystem is beyond its own repos), FlowiseAI is clearly ahead of mlc-ai. On momentum (release cadence and how fast the ecosystem moves), mlc-ai is slightly 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. mlc-ai shows 51,532 stars across 38 public repos, 15 active in the last 90 days and 45 external contributors.
FlowiseAI is the stronger read for anyone weighting reach. mlc-ai looks better where community 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 | mlc-ai |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #209 |
| Pillars | ||
| Overall | 48 | 49 |
| Code | 37 | 47 |
| Education | 75 | 74 |
| Community | 55 | 74 |
| Reach | 51 | 17 |
| Momentum | 28 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 55,407 | 51,532 |
| Forks | 26,746 | 4,729 |
| Public repos | 15 | 38 |
| Active repos (90d) | 6 | 15 |
| External contributors | 149 | 45 |
| Avg polish | 31 | 48 |
| Avg AI-readiness | 35 | 42 |