Learn how Botpress 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.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Botpress and Langflow have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Langflow significantly outpaces Botpress in community adoption with 153,474 stars compared to 14,872 stars on GitHub. This 10.3x difference suggests Langflow has a much larger and more active community. In terms of developer contributions, Langflow has 9,895 forks, indicating strong developer engagement.
Langflow is growing faster, adding 1,372 stars in the last 30 days (+0.9%) against adding 64 stars for Botpress (+0.4%). Langflow is both larger and pulling further ahead.
Both projects show recent activity, with Botpress last updated 1 day ago and Langflow 6 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript, JSX. However, they differ in their additional technology choices: Langflow leverages CSS, Python.
Botpress has been in development longer, starting 10 years ago, compared to Langflow which began 4 years ago. This 6.3-year head start suggests Botpress may have more mature features and established processes.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Botpress also focuses on Chatbot Platforms while Langflow extends into Low-Code/No-Code, LLM Application Frameworks.
Both Botpress and Langflow offer self-hosting capabilities, giving you full control over your data and infrastructure.