Flowise vs Langflow
Side-by-side comparison of two AI agent tools
Short answer
- Langflow is growing faster: +1,452 GitHub stars in the last 30 days vs +690 for Flowise.
- Pick Flowise for: build AI Agents, Visually. Pick Langflow for: langflow is a powerful tool for building and deploying AI-powered agents and workflows.
From GitHub data refreshed daily.
Flowisefree
Build AI Agents, Visually
Langflowopen-source
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Metrics
| Flowise | Langflow | |
|---|---|---|
| Stars | 55.5k | 155.5k |
| Star velocity /mo | 690.4761904761905 | 1.5k |
| Commits (90d) | 24 | 842 |
| Releases (6m) | 3 | 10 |
| Overall score | 0.593432940642942 | 0.877768746406304 |
Pros
- +可视化拖拽界面,降低AI智能体开发门槛,无需编程背景即可使用
- +支持多种部署选项,包括本地安装、Docker容器和云端服务,适应不同使用场景
- +活跃的开源社区支持,GitHub上51k+星标显示了强大的用户基础和持续维护
- +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
Cons
- -需要Node.js 18.15.0+运行环境,对系统环境有一定技术要求
- -复杂的多模块架构可能对简单用例造成过度工程化
- -文档和功能细节有限,可能需要额外学习成本
- -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
Use Cases
- •企业级AI客服机器人快速搭建,通过可视化流程设计对话逻辑
- •数据分析工作流自动化,连接多个AI模型进行复合分析任务
- •教育培训场景中的AI助手原型开发,用于概念验证和演示
- •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
FAQ
- Which is more popular, Flowise or Langflow?
- Langflow has more GitHub stars (155,457 vs 55,494).
- Which is more actively developed, Flowise or Langflow?
- Langflow had more commits in the last 90 days (842 vs 24).
- Should I use Flowise or Langflow?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.