Open-Source AI · Low-code AI builder

Flowise vs Langflow

Flowise vs Langflow compared for 2026 — features, license, ease of use, performance and which one to choose. Drag-and-drop LLM flows vs Visual builder for agents and RAG.

Updated regularly · curated by OpenSourceAI.tech

Choose Flowise for builders who want fast visual prototyping. Choose Langflow for Python teams who want a visual flow canvas.

Flowise vs Langflow at a glance

SpecFlowiseLangflow
CategoryLow-code AI builderLow-code AI builder
TypeVisual LLM builderVisual LLM builder
LicenseApache-2.0MIT
Runs locallySelf-hostedSelf-hosted
Primary languageTypeScriptPython
Ease of useBeginnerBeginner
Best forbuilders who want fast visual prototypingPython teams who want a visual flow canvas
GitHub stars55k152.6k

Feature comparison

FeatureFlowiseLangflow
Visual builder
Document RAG
Self-hostable
API export
Many integrations
Agents

How Flowise and Langflow score

🤝 Too close to call — Flowise and Langflow land within a hair (4.8 vs 4.9 / 5). Pick on fit, not on score.
CriterionFlowiseLangflow
Popularity4.55.0
Maintenance5.05.0
Ease of use5.05.0
Privacy4.54.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Flowise

Visual LLM builder · Apache-2.0

Flowise is a drag-and-drop builder for LLM apps and agents, letting you assemble chains, tools and RAG visually on top of LangChain primitives.

  • Fast drag-and-drop flow building
  • Built on familiar LangChain primitives
  • Quick to prototype chatbots and agents
See the Flowise page →

Langflow

Visual LLM builder · MIT

Langflow is a visual, Python-based builder for agentic and RAG applications, with a node canvas and an API to deploy your flows.

  • Python-native visual flow canvas
  • Agent and RAG components out of the box
  • Deploy flows as APIs
See the Langflow page →

Key differences

Flowise is visual LLM builder, while Langflow is visual LLM builder. Their licenses differ (Apache-2.0 vs MIT), which matters if you ship a commercial product. In short, Flowise fits builders who want fast visual prototyping, and Langflow fits Python teams who want a visual flow canvas.

Which should you choose?

Choose Flowise for builders who want fast visual prototyping. Choose Langflow for Python teams who want a visual flow canvas.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Flowise or Langflow easier to use?

Both sit at a similar level (Beginner). Your choice should come down to fit rather than difficulty.

Are Flowise and Langflow free?

Flowise is free and open source (Apache-2.0), and Langflow is free and open source (MIT). Neither charges for the core software.

Can I run Flowise and Langflow locally?

Flowise: self-hosted · Langflow: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

Flowise vs Langflow — which should I pick in 2026?

Choose Flowise for builders who want fast visual prototyping. Choose Langflow for Python teams who want a visual flow canvas.

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