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AI Tool Comparison
Dify vs Langfuse
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.
Developer Tools
freemium
Langfuse
Trace and score LLM application runs so teams can debug agent behavior and track cost per user or session.
Developer Tools
freemium
Bottom Line
Dify and Langfuse are rated evenly — the right pick comes down to which workflow you're running.
Choose Dify if…
Chatbot Development
Choose Langfuse if…
LLM Observability
| Attribute | Dify | Langfuse |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free Sandbox / $59/mo Professional / $159/mo Team | Free (50K units) / $29/mo Core / $199/mo Pro |
| Rating |
Key Features
Dify
- Visual workflow editor
- RAG pipeline builder
- Multi-model support
- Built-in observability
- API and webhook integration
- Self-hostable
Langfuse
- Full LLM call tracing
- Prompt version management
- User session tracking
- Cost and latency analytics
- Evaluation datasets
- Self-hostable
Pros
Dify
- •Visual editor dramatically reduces development time
- •Strong open-source community and active development
- •Works with any major LLM provider
Langfuse
- •One of the best open-source options in LLM observability
- •Works with any LLM provider
- •Eval framework helps catch quality regressions early
Cons
Dify
- Complex workflows can become difficult to debug
- Cloud pricing jumps significantly beyond free tier
Langfuse
- Setup requires SDK integration in your codebase
- Dashboard can feel complex for simple use cases