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Langflow vs Flowise
Side-by-side comparison of Langflow and Flowise — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | Langflow | Flowise | Winner |
|---|---|---|---|
Ease of Use | 5/5 | 5/5 | Tie |
Scalability | 4/5 | 3/5 | Langflow |
Documentation | 4/5 | 4/5 | Tie |
Community | 5/5 | 4/5 | Langflow |
Performance | 4/5 | 3/5 | Langflow |
Overall: Langflow wins 3 categories, Flowise wins 0, 2 tied
Feature Comparison
| Feature | Langflow | Flowise |
|---|---|---|
| Primary Language | Python | TypeScript |
| License | MIT | Apache-2.0 |
| Pricing | Open Source | Open Source + Cloud |
| GitHub Stars | 44,100 | 30,000 |
| Difficulty | Beginner | Beginner |
| Enterprise Ready | ||
| Community Size | Very Large | Large |
| Category | Visual Development | Visual Development |
Pros & Cons
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
Flowise
Advantages
Very low barrier to entry with drag-and-drop
Integrates well with LangChain and LlamaIndex
Good for rapid prototyping
Active development and updates
Open source under Apache 2.0
Limitations
Less suitable for production-grade applications
Limited customization compared to code-first approaches
Performance overhead from visual layer
Smaller community than LangChain
Documentation could be more comprehensive
Self-hosting requires infrastructure management
Best Use Cases
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
Flowise
RAG applications for document Q&A
Chatbots and conversational interfaces
Rapid prototyping of AI applications
API-based AI services
Knowledge base assistants
Visual workflow design for non-developers
Getting Started
Langflow
Installation
pip install langflow
Flowise
Installation
npm install -g flowise
Learn More
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