Build AI Agents, Visually
Open source AI engineering platform. Debug, analyze and iterate together.
FlowiseAI vs Langfuse
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
FlowiseAI (Build AI Agents, Visually) and Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) both appear on the Smoower Developer Ecosystem Index.
Langfuse (rank #63) holds a modest lead over FlowiseAI (rank #237) on the overall Smoower ecosystem score (59 vs 48). The gap of 11 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Langfuse is ahead of FlowiseAI. On education (docs, guides and learning material for developers), FlowiseAI is clearly ahead of Langfuse. On community (issue response, PR reviews and discussion health), FlowiseAI is slightly ahead of Langfuse. On reach (how visible the ecosystem is beyond its own repos), Langfuse is ahead of FlowiseAI. On momentum (release cadence and how fast the ecosystem moves), Langfuse 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. Langfuse shows 32,648 stars across 25 public repos, 22 active in the last 90 days and 147 external contributors.
FlowiseAI is the stronger read for anyone weighting education. Langfuse looks better where momentum 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 | Langfuse |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #63 |
| Pillars | ||
| Overall | 48 | 59 |
| Code | 37 | 56 |
| Education | 75 | 50 |
| Community | 55 | 53 |
| Reach | 51 | 71 |
| Momentum | 28 | 54 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 55,407 | 32,648 |
| Forks | 26,746 | 4,263 |
| Public repos | 15 | 25 |
| Active repos (90d) | 6 | 22 |
| External contributors | 149 | 147 |
| Avg polish | 31 | 60 |
| Avg AI-readiness | 35 | 41 |