langflow vs windmill
Side-by-side comparison of two AI agent tools
langflowopen-source
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
windmillopen-source
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Metrics
| langflow | windmill | |
|---|---|---|
| Stars | 146.3k | 16.1k |
| Star velocity /mo | 12.2k | 1.3k |
| Commits (90d) | — | — |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8115900634945047 | 0.7205387720953776 |
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
- +Multi-language support with automatic UI generation from scripts in Python, TypeScript, Go, Bash, SQL, and more
- +High performance workflow engine claiming 13x faster execution than Airflow
- +Self-hostable open-source solution with AGPLv3 license providing full control and customization
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
- -AGPLv3 license may restrict some commercial use cases and require careful compliance consideration
- -Being a comprehensive platform may introduce complexity for simple automation tasks
- -Self-hosting requires infrastructure management and maintenance overhead
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 internal APIs and webhooks from existing scripts without additional infrastructure
- •Creating automated workflows for background jobs and data processing pipelines
- •Developing low-code internal applications with custom UIs for non-technical team members