Capability · Comparison
Flowise vs Langflow
Flowise and Langflow are the two leading visual, LangChain-native app builders. They overlap heavily in purpose — drag-and-drop canvas, LangChain/LangGraph node palette, visible execution — but diverge on runtime: Flowise is Node.js/TypeScript-native, Langflow is Python-native and backed by DataStax. Your team's language preference usually decides.
Side-by-side
| Criterion | Flowise | Langflow |
|---|---|---|
| Runtime | Node.js / TypeScript | Python |
| License | Apache 2.0 | MIT |
| Corporate backing | FlowiseAI | DataStax |
| Code export | JS/TS + API embed | Python |
| LangChain parity | LangChainJS | LangChain Python |
| LangGraph support | Yes | Yes — native multi-agent support |
| Best for | Teams on Node.js / Vercel / TS stacks | Teams on Python / FastAPI / DataStax |
| Cloud-hosted version | Flowise Cloud | DataStax Langflow Cloud |
Verdict
If your engineering team lives in Node.js / TypeScript and runs on Vercel, Cloudflare, or similar JS infra — Flowise. If your team lives in Python, runs FastAPI or Django, or is on DataStax — Langflow. Feature-wise they're close enough that runtime language is the right deciding factor for most teams. Both are MIT-licensed, both have cloud-hosted options, both support LangGraph multi-agent workflows.
When to choose each
Choose Flowise if…
- Your team is on Node.js / TypeScript.
- You want to embed an LLM pipeline in a Next.js / Vercel app.
- You're comfortable with LangChainJS.
- Apache 2.0 licensing is preferred.
Choose Langflow if…
- Your team is on Python.
- You want to export production Python from the canvas.
- You're on DataStax Astra DB or want that integration.
- You need Langflow's multi-agent LangGraph patterns.
Frequently asked questions
Are they interoperable?
Not directly — JSON flow formats differ. You can re-create a Flowise flow in Langflow (and vice versa) manually, but there's no one-click export/import between them.
Which has a bigger node library?
Roughly equivalent in 2026. Both ship 200+ built-in nodes plus custom-node support. Langflow has stronger DataStax / Astra DB integrations; Flowise has stronger JS-ecosystem nodes (Vercel AI SDK, etc.).
Can I self-host both?
Yes — both ship Docker images and can run on a single VM. Production deployments use Kubernetes Helm charts that both projects publish.
Sources
- Flowise — GitHub — accessed 2026-04-20
- Langflow — GitHub — accessed 2026-04-20