Dify vs Flowise
Side-by-side comparison of two AI agent tools
Short answer
- Dify is growing faster: +3,652 GitHub stars in the last 30 days vs +690 for Flowise.
- Pick Dify for: production-ready platform for agentic workflow development. Pick Flowise for: build AI Agents, Visually.
From GitHub data refreshed daily.
Difyfree
Production-ready platform for agentic workflow development.
Flowisefree
Build AI Agents, Visually
Metrics
| Dify | Flowise | |
|---|---|---|
| Stars | 157.7k | 55.5k |
| Star velocity /mo | 3.7k | 690.4761904761905 |
| Commits (90d) | 2.3k | 24 |
| Releases (6m) | 9 | 3 |
| Overall score | 0.8905087884899539 | 0.593432940642942 |
Pros
- +生产级稳定性和企业级功能支持，适合大规模部署应用
- +可视化工作流编辑器，大幅降低 AI 应用开发门槛
- +活跃的开源社区和丰富的生态系统，持续更新迭代
- +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
Cons
- -学习曲线存在，需要时间熟悉平台的各种组件和配置
- -复杂工作流的性能优化需要深入了解平台机制
- -自部署版本需要一定的运维能力和资源投入
- -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
Use Cases
- •企业客服机器人和智能助手的快速开发与部署
- •复杂业务流程的自动化处理，如文档分析、数据处理等
- •知识库问答系统和内容生成应用的构建
- •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
FAQ
- Which is more popular, Dify or Flowise?
- Dify has more GitHub stars (157,730 vs 55,494).
- Which is more actively developed, Dify or Flowise?
- Dify had more commits in the last 90 days (2,338 vs 24).
- Should I use Dify or Flowise?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.