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Dify vs Langflow
Side-by-side comparison of Dify and Langflow — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | Dify | Langflow | Winner |
|---|---|---|---|
Ease of Use | 4/5 | 5/5 | Langflow |
Scalability | 5/5 | 4/5 | Dify |
Documentation | 5/5 | 4/5 | Dify |
Community | 5/5 | 5/5 | Tie |
Performance | 4/5 | 4/5 | Tie |
Overall: Dify wins 2 categories, Langflow wins 1, 2 tied
Feature Comparison
| Feature | Dify | Langflow |
|---|---|---|
| Primary Language | Python | Python |
| License | Apache-2.0 | MIT |
| Pricing | Open Source + Cloud | Open Source |
| GitHub Stars | 100,000 | 44,100 |
| Difficulty | Intermediate | Beginner |
| Enterprise Ready | ||
| Community Size | Very Large | Very Large |
| Category | Visual Development | Visual Development |
Pros & Cons
Dify
Advantages
Comprehensive LLMOps platform
Visual agent building with code flexibility
Strong community (100k+ stars)
Apache 2.0 license
Production-ready with observability
Multi-agent orchestration
Cloud and self-host options
Limitations
Can be complex to set up initially
Docker-based deployment required
Learning curve for full platform
Cloud pricing for managed version
Langflow
Advantages
Very high GitHub stars (44k+) indicates strong adoption
Low-code visual interface lowers barrier to entry
Full Python customization maintains developer flexibility
All flows are JSON - easy to share and version control
Multiple deployment options (API MCP embedded)
Open source with MIT license
Active development and regular updates
Supports all major LLMs and vector databases
Limitations
Visual interface can be limiting for very complex logic
Requires Python knowledge for advanced customization
Team collaboration features are limited
Documentation still growing
Self-hosting requires infrastructure management
No built-in authentication for shared instances
Performance overhead from visual layer
Best Use Cases
Dify
LLMOps and model management
Visual agent building
RAG applications
Multi-agent orchestration
Internal AI tools and assistants
API-based AI services
Langflow
RAG applications for document Q&A
Chatbots and conversational interfaces
Multi-agent workflows
Rapid prototyping of AI applications
API-based AI services
Internal tools and automation
Getting Started
Dify
Installation
docker-compose up or pip install
Langflow
Installation
pip install langflow
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