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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.

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Favicon of Dify

Dify

Platform for building production-ready AI agents, agentic workflows, and RAG pipelines with a visual interface, LLM integrations, and observability tools.
  • Stars


    143,422
  • Forks


    22,566
  • Last commit


    3 hours ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository

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Screenshot of Dify
Favicon of Langflow

Langflow

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


    148,961
  • Forks


    9,152
  • Last commit


    17 hours ago
  • Repository age


    3 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

Auto-fetched .

Screenshot of Langflow

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 143,422 and 148,961 stars respectively. In terms of developer contributions, Dify has 22,566 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Dify last updated 3 hours ago and Langflow 17 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.