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FastGPT vs Langflow

Learn how FastGPT and Langflow 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 FastGPT

FastGPT

FastGPT is a free, open-source platform for creating AI-powered knowledge bases with data processing, model invocation, and visual workflows.
  • Stars


    28,073
  • Forks


    7,100
  • Last commit


    21 hours ago
  • Repository age


    3 years
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Screenshot of FastGPT
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


    148,517
  • Forks


    9,048
  • Last commit


    10 hours ago
  • Repository age


    3 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

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Screenshot of Langflow

Detailed Comparison

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

Langflow wins
Community & Popularity

Langflow significantly outpaces FastGPT in community adoption with 148,517 stars compared to 28,073 stars on GitHub. This 5.3x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 9,048 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with FastGPT last updated 21 hours ago and Langflow 10 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: FastGPT uses Next.js, SCSS, NestJS.

Comparable
Project Maturity

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

Langflow wins
Licensing

Langflow is licensed under MIT, while FastGPT'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 extends into Low-Code/No-Code, AI Agent Platforms.

Langflow wins
Hosting & Deployment

Langflow provides self-hosting options for complete data control and customization, while FastGPT may be primarily cloud-based or require different deployment approaches.