Flowise vs Langflow
A side-by-side comparison of Flowise and Langflow, two Orchestration tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Flowise
OrchestrationVisually build AI agents and LLM workflows — drag-and-drop, self-hosted.
View FlowiseAt a glance
| Attribute | Flowise | Langflow |
|---|---|---|
| Category | Orchestration | Orchestration |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms | Web, API | Web, API |
| Model support (differs) | Multi-model | Model-agnostic |
| Vendor (differs) | FlowiseAI | DataStax |
The honest brief
Flowise
Drag-and-drop counterpart to code-first frameworks — builds on LangChain/LlamaIndex nodes, self-hosts via npm/Docker.
- Visual, low-code agent builder
- Apache-2.0 core, self-hostable
- Provider-agnostic node ecosystem
- Multi-agent flows on a canvas
- Complex logic outgrows the canvas
- Less control than writing code
- Cloud tier is a separate paid product
Langflow
A visual drag-and-drop canvas (vs code-first frameworks) for building agents and RAG, with Python under each node and self-host or cloud deployment.
- Visual, low-code flow builder
- Python-extensible nodes
- Self-host or managed cloud
- Export flows as APIs or MCP servers
- Complex flows get unwieldy visually
- Less granular than pure-code frameworks
- Still maturing post-acquisition