What is the main difference between Dify and Langflow?

Dify and Langflow are both ai agent platforms but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Dify or Langflow?

The choice between Dify and Langflow depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Dify to Langflow?

Migration between Dify and Langflow is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Dify vs Langflow

Learn how Dify and Langflow differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.

Dify

Visual platform for building agentic workflows, RAG pipelines, and LLM-powered apps. Supports hundreds of models, MCP integration, and self-hosted deployment.

Visit Dify Read more

Stars
148,748
Forks
23,427
Last commit
23 minutes ago
Repository age
3 years
Self-hosted
Yes

Activity score

100/100

View Repository

Langflow

Build, deploy, and iterate on AI agents, RAG applications, and MCP servers using a drag-and-drop visual interface backed by Python.

Visit Langflow Read more

Stars
151,847
Forks
9,673
Last commit
2 hours ago
Repository age
3 years
License
MIT
Self-hosted
Yes

Activity score

100/100

View Repository

Detailed Comparison

Both Dify and Langflow have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Comparable

Community & Popularity

Both Dify and Langflow show comparable community engagement with 148,748 and 151,847 stars respectively. In terms of developer contributions, Dify has 23,427 forks, indicating strong developer engagement.

Comparable

Development Activity

Both projects show recent activity, with Dify last updated 23 minutes ago and Langflow 2 hours ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Dify uses Next.js, SCSS, PHP.

Comparable

Project Maturity

Both projects started around the same time, with Dify beginning 3 years ago and Langflow 3 years ago.

Langflow wins

Licensing

Langflow is licensed under MIT, while Dify's license terms are not publicly specified.

Comparable

Use Cases & Features

Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Dify also focuses on AI Development Platforms, AI Integration Platforms while Langflow extends into Low-Code/No-Code, LLM Application Frameworks.

Comparable

Hosting & Deployment

Both Dify and Langflow offer self-hosting capabilities, giving you full control over your data and infrastructure.

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