Open-Source AI · Low-code AI builder

Langflow vs Windmill

Langflow vs Windmill compared for 2026 — features, license, ease of use, performance and which one to choose. Visual builder for agents and RAG vs Turn scripts into workflows and UIs.

Updated regularly · curated by OpenSourceAI.tech

Choose Langflow for Python teams who want a visual flow canvas. Choose Windmill for developer-first internal tooling.

Langflow vs Windmill at a glance

SpecLangflowWindmill
CategoryLow-code AI builderLow-code AI builder
TypeVisual LLM builderWorkflow platform
LicenseMITAGPL-3.0
Runs locallySelf-hostedYes
Primary languagePythonRust
Ease of useBeginnerIntermediate
Best forPython teams who want a visual flow canvasdeveloper-first internal tooling
GitHub stars151.9k

How Langflow and Windmill score

🏆 Overall edge: Langflow — 4.9 vs 4.0 / 5
CriterionLangflowWindmill
Popularity5.0n/a
Maintenance5.0n/a
Ease of use5.03.5
Privacy4.55.0
License freedom5.03.5

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

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 →

Windmill

Workflow platform · AGPL-3.0

Windmill turns Python, TypeScript or SQL scripts into workflows, schedules and internal apps, with AI steps as first-class citizens.

  • Scripts first, UI generated for you
  • Very fast execution engine
  • Self-hosted, no vendor lock-in
Visit Windmill →

Key differences

Langflow is visual LLM builder, while Windmill is workflow platform. Their licenses differ (MIT vs AGPL-3.0), which matters if you ship a commercial product. Langflow leans more beginner-friendly, whereas Windmill is more suited to intermediate users. They also differ in how they run (Self-hosted vs Yes). In short, Langflow fits Python teams who want a visual flow canvas, and Windmill fits developer-first internal tooling.

Which should you choose?

Choose Langflow for Python teams who want a visual flow canvas. Choose Windmill for developer-first internal tooling.

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 Langflow or Windmill easier to use?

Langflow is generally the easier of the two to get started with, while Windmill rewards more setup with more control.

Are Langflow and Windmill free?

Langflow is free and open source (MIT), and Windmill is free and open source (AGPL-3.0). Neither charges for the core software.

Can I run Langflow and Windmill locally?

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

Langflow vs Windmill — which should I pick in 2026?

Choose Langflow for Python teams who want a visual flow canvas. Choose Windmill for developer-first internal tooling.

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