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Langflow vs Langfuse

Learn how Langflow and Langfuse differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm application frameworks is best for you.

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Favicon of Langflow

Langflow

Low-code platform for building agentic and RAG applications with drag-and-drop components, Python customization, and support for any LLM or vector database.
  • Stars


    147,688
  • Forks


    8,904
  • Last commit


    9 hours ago
  • Repository age


    3 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

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Screenshot of Langflow
Favicon of Langfuse

Langfuse

Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
  • Stars


    26,566
  • Forks


    2,691
  • Last commit


    12 hours ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository

Auto-fetched .

Screenshot of Langfuse

Detailed Comparison

Langflow appears to have several advantages over Langfuse, particularly in popularity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Langflow wins
Community & Popularity

Langflow significantly outpaces Langfuse in community adoption with 147,688 stars compared to 26,566 stars on GitHub. This 5.6x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 8,904 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Langflow last updated 9 hours ago and Langfuse 12 hours ago.

Comparable
Technology Stack

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

Comparable
Project Maturity

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

Langflow wins
Licensing

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

Comparable
Use Cases & Features

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

Comparable
Hosting & Deployment

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