Langflow vs n8n

Side-by-side comparison of two AI agent tools

Short answer

  • n8n is growing faster: +4,001 GitHub stars in the last 30 days vs +1,454 for Langflow.
  • Pick Langflow for: langflow is a powerful tool for building and deploying AI-powered agents and workflows. Pick n8n for: fair-code workflow automation platform with native AI capabilities.

From GitHub data refreshed daily.

Langflowopen-source

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

n8nfree

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Metrics

Langflown8n
Stars155.4k206.4k
Star velocity /mo1.5k4.0k
Commits (90d)8433.6k
Releases (6m)1010
Overall score0.87563739889077420.9380538865345652

Pros

  • +可视化拖拽界面让非技术用户也能快速构建AI工作流
  • +支持多种部署方式包括API、MCP服务器和桌面应用,集成灵活性极高
  • +内置对所有主流LLM和向量数据库的支持,生态系统完整
  • +Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
  • +AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
  • +Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility

Cons

  • -需要Python 3.10-3.13环境,对非Python用户有技术门槛
  • -复杂的企业级功能可能对简单用例过于繁重
  • -学习曲线较陡,充分利用所有功能需要时间投入
  • -Requires technical knowledge to fully leverage coding capabilities and advanced features
  • -Self-hosting demands infrastructure management and maintenance overhead
  • -Fair-code license restricts commercial usage at scale without enterprise licensing

Use Cases

  • •构建多代理协作系统处理复杂业务流程和决策
  • •将AI工作流部署为API服务供其他应用程序调用
  • •快速原型制作和可视化测试AI工作流的效果和逻辑
  • •Building AI agent workflows that process customer data using LangChain and custom language models
  • •Automating complex business processes that require both API integrations and custom business logic
  • •Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting

FAQ

Which is more popular, Langflow or n8n?
n8n has more GitHub stars (206,425 vs 155,422).
Which is more actively developed, Langflow or n8n?
n8n had more commits in the last 90 days (3,611 vs 843).
Should I use Langflow or n8n?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.