Dify vs Flowise
Which tool to choose in 2026?
Automation📊 Comparison radar
Dify
Flowise
Understand our rating system →
📋 General information
Dify
Rating
★★★★☆ 3.8/5
Pricing
Freemium
Price detail
Free open-source · Sandbox: free (200 messages) · Pro: $59/mo · Team: $159/mo
Company
Dify Technology
Launched
2023
Platforms
web, api
Flowise
Rating
★★★★☆ 4.2/5
Pricing
Free
Price detail
Free open-source · Cloud: from $35/mo
Company
Flowise
Launched
2023
Platforms
web
✨ Features
| Feature | Dify | Flowise |
|---|---|---|
| Visual workflow builder | ✅ | — |
| RAG pipeline | ✅ | — |
| Agent framework | ✅ | — |
| Multi-model support | ✅ | — |
| Self-hostable | ✅ | ✅ |
| API generation | ✅ | — |
| Visual LLM builder | — | ✅ |
| Drag-and-drop | — | ✅ |
| RAG chatbots | — | ✅ |
| Visual agents | — | ✅ |
| Auto-generated API | — | ✅ |
⚖️ Pros & Cons
🔧 Dify
- All-in-one AI platform: RAG (retrieval-augmented generation), agents, workflows and chatbots in a single visual interface
- Self-hostable with Docker Compose — deploy in 5 minutes on your own infrastructure
- Native multi-model support: 50+ LLMs from all major providers via a unified API
- Complete RAG pipeline with visually configurable chunking, embedding and retrieval
- Auto-generated API for every application — embeddable in any frontend
- China-based company — cloud data defaults to Chinese servers, so self-hosting is strongly recommended
- Visual interface gets confusing on complex workflows with many branches
- Free cloud plan limited to 200 messages, insufficient for real-world testing
🌊 Flowise
- Drag-and-drop interface making LangChain accessible without writing a line of code
- 100% open-source and self-hostable with Docker in minutes
- Auto-generated REST API for each chatflow — embeddable in any frontend
- Native support for 100+ components: LLMs, embeddings (vector representations), vector stores, tools and memory
- Active community with marketplace of templates and ready-made chatflows
- Complex workflows with many nodes become visually unreadable
- Less powerful than pure-code LangChain — some advanced patterns are impossible
- Debugging chatflows in error is frustrating — error messages lack context
🏆 Verdict
🔧 Choose Dify
The most complete open-source platform for building production AI applications. Dify excels at RAG and rapid prototyping, but the Chinese company location requires opting for self-hosting if data sovereignty is a priority.
🌊 Choose Flowise
The visual gateway to LangChain. Flowise democratizes LLM app creation for non-developers, with an highly competitive value (free self-hosted). Ideal for rapid prototyping, but reaches its limits on complex production architectures.
Flowise