Learn how Langflow and n8n differ in their key features, development activity, technology stack and community adoption, so you can decide which of these low-code/no-code platforms is best for you.
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Both Langflow and n8n 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.
Both tools have similar popularity levels, with Langflow having 147,667 stars and n8n having 186,611 stars on GitHub. In terms of developer contributions, n8n has 57,327 forks, indicating strong developer engagement.
Both projects show recent activity, with Langflow last updated 13 hours ago and n8n 9 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Langflow uses JSX, Python while n8n leverages SCSS, Vue.
n8n has been in development longer, starting 7 years ago, compared to Langflow which began 3 years ago. This 3.7-year head start suggests n8n may have more mature features and established processes.
Langflow is licensed under MIT, while n8n's license terms are not publicly specified.
Both tools serve similar use cases in Low-Code/No-Code. However, they also have distinct specializations: Langflow also focuses on AI Agent Platforms, LLM Application Frameworks while n8n extends into Workflow Automation, Workflow Orchestration.
Both Langflow and n8n offer self-hosting capabilities, giving you full control over your data and infrastructure.