Open-Source AI · Low-code AI builder

Langflow vs Activepieces

Langflow vs Activepieces compared for 2026 — features, license, ease of use, performance and which one to choose. Visual builder for agents and RAG vs Open-source Zapier with AI pieces.

Updated regularly · curated by OpenSourceAI.tech

Choose Langflow for Python teams who want a visual flow canvas. Choose Activepieces for teams automating workflows without vendor lock-in.

Langflow vs Activepieces at a glance

SpecLangflowActivepieces
CategoryLow-code AI builderLow-code AI builder
TypeVisual LLM builderAutomation platform
LicenseMITMIT
Runs locallySelf-hostedSelf-hosted
Primary languagePythonTypeScript
Ease of useBeginnerBeginner
Best forPython teams who want a visual flow canvasteams automating workflows without vendor lock-in
GitHub stars151.9k23.3k

How Langflow and Activepieces score

🏆 Overall edge: Langflow — 4.9 vs 4.6 / 5
CriterionLangflowActivepieces
Popularity5.03.5
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

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 →

Activepieces

Automation platform · MIT

Activepieces is an open-source automation platform (a Zapier alternative) with hundreds of connectors and first-class AI steps, self-hostable via Docker.

  • Hundreds of connectors, no-code editor
  • AI steps as first-class citizens
  • MIT core, simple Docker self-hosting
See the Activepieces page →

Key differences

Langflow is visual LLM builder, while Activepieces is automation platform. In short, Langflow fits Python teams who want a visual flow canvas, and Activepieces fits teams automating workflows without vendor lock-in.

Which should you choose?

Choose Langflow for Python teams who want a visual flow canvas. Choose Activepieces for teams automating workflows without vendor lock-in.

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 Activepieces easier to use?

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

Are Langflow and Activepieces free?

Langflow is free and open source (MIT), and Activepieces is free and open source (MIT). Neither charges for the core software.

Can I run Langflow and Activepieces locally?

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

Langflow vs Activepieces — which should I pick in 2026?

Choose Langflow for Python teams who want a visual flow canvas. Choose Activepieces for teams automating workflows without vendor lock-in.

People also compare

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →