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.

Auto-fetched .

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 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.
Both projects show recent activity, with FastGPT last updated 21 hours ago and Langflow 10 hours ago.
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.
Both projects started around the same time, with FastGPT beginning 3 years ago and Langflow 3 years ago.
Langflow is licensed under MIT, while FastGPT's license terms are not publicly specified.
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 provides self-hosting options for complete data control and customization, while FastGPT may be primarily cloud-based or require different deployment approaches.