AI Tool Comparison
Dify vs Flowise
A side-by-side breakdown to help you pick the right tool for your workflow.
Dify
Build and orchestrate LLM applications and agentic workflows with visual workflow design, RAG, and knowledge-base management, open source with 139,000+ GitHub stars.
Flowise
Assemble chatbots and multi-agent workflows on a drag-and-drop canvas without writing backend code. Acquired by Workday in August 2025 and being integrated into their platform.
Bottom Line
Last reviewed: August 2026
Dify and Flowise both compete in Developer Tools, overlapping most directly on chatbot Development. Dify carries the higher rating (4.7 vs 4.6), but a gap that size rarely overrides a real workflow fit on its own.
Choose Dify if…
Best for teams building production chatbots or agent pipelines who want a visual editor instead of raw LangChain code, and its edge is a visual canvas with built-in RAG tooling and observability, reducing development time versus building from primitives. Dramatically faster to build with than coding from scratch, complex workflows can still get hard to debug once wired up.
Choose Flowise if…
Best for developers who want to build LLM pipelines visually instead of writing LangChain code directly, and its edge is a drag-and-drop node interface exposing chains, agents, and RAG pipelines without a coding layer. Genuinely useful for no-code LLM workflows, complex flows still get hard to debug visually.
| Attribute | Dify | Flowise |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free Sandbox / $59/mo Professional / $159/mo Team | Free (self-host) / Free tier Cloud / $35/mo Starter |
| Rating |
Key Features
Dify
- Visual workflow editor
- RAG pipeline builder
- Multi-model support
- Built-in observability
- API and webhook integration
- Self-hostable
Flowise
- Visual flow editor
- 100+ built-in integrations
- RAG pipeline support
- Agent and tool chaining
- Self-hostable
- API deployment
Pros
Dify
- •Visual editor dramatically reduces development time
- •Strong open-source community and active development
- •Works with any major LLM provider
Flowise
- •No code required for complex LLM workflows
- •Huge library of pre-built nodes
- •Active open-source community
Cons
Dify
- Complex workflows can become difficult to debug
- Cloud pricing jumps significantly beyond free tier
Flowise
- Complex flows can be hard to debug visually
- Performance tuning requires understanding underlying LangChain