Build AI Agents, Visually
FlowiseAI vs Mage
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
FlowiseAI (Build AI Agents, Visually) and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.
FlowiseAI (rank #237) holds a modest lead over Mage (rank #485) on the overall Smoower ecosystem score (48 vs 38). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), FlowiseAI is slightly ahead of Mage. On education (docs, guides and learning material for developers), FlowiseAI is slightly ahead of Mage. On community (issue response, PR reviews and discussion health), FlowiseAI is ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), FlowiseAI is ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), FlowiseAI is ahead of Mage.
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. Mage shows 9,079 stars across 44 public repos, 8 active in the last 90 days and 22 external contributors. The star gap on its own does not decide the comparison, but FlowiseAI's footprint is roughly 6.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
FlowiseAI is the stronger read for anyone weighting community. Mage makes more sense for teams already using its adjacent tools. 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 | Mage |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #485 |
| Pillars | ||
| Overall | 48 | 38 |
| Code | 37 | 34 |
| Education | 75 | 71 |
| Community | 55 | 38 |
| Reach | 51 | 40 |
| Momentum | 28 | 16 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 55,407 | 9,079 |
| Forks | 26,746 | 1,538 |
| Public repos | 15 | 44 |
| Active repos (90d) | 6 | 8 |
| External contributors | 149 | 22 |
| Avg polish | 31 | 42 |
| Avg AI-readiness | 35 | 15 |