⚡ TL;DR — The Verdict

Flowise (8.3/10) vs Dify (8.3/10) — extremely close. Flowise stands out with drag-and-drop chatflow builder and 80+ integrations. Dify wins on visual ai workflow builder with Flowise is cheaper to self-host. Your choice depends on whether you prioritize workflow style.

Flowise vs Dify: Complete 2026 Comparison

Updated · Based on real deployment data · 10 min read

Flowise

8.3
Best for: Developers building RAG chatbots and LLM agent chains with minimal code using visual interface

Dify

8.3
Best for: Teams building production LLM applications who want an all-in-one platform with visual builder and built-in observability

Head-to-Head Comparison

Feature Flowise Dify
Primary Use Case Open-source visual LLM chain and RAG builder with drag-and-drop interface for creating chatflows and AI agents Open-source LLM app development platform combining AI workflow builder, RAG pipeline, agent capabilities, and model management
GitHub Stars 28,000+ 45,000+
Integrations 80+ 120+
Language TypeScript Python/TypeScript
License Apache-2.0 Apache-2.0 (with commons clause for enterprise)
Min RAM 512MB 2GB
Docker Image Size ~420MB ~700MB
Self-Host Cost $7/mo $15/mo
Cloud Pricing $35/mo $59/mo
Ease of Use 9/10 8.5/10
AI Capabilities 9/10 9/10
Community Score 7.5/10 8.5/10
Contributors 180+ 400+

Pricing Breakdown: Self-Hosted vs Cloud

Both tools are free to self-host. The real cost is infrastructure. Here's what you'll actually pay:

Flowise Self-Hosted

$7/mo
  • 512MB RAM sufficient
  • ~420MB Docker image
  • Apache-2.0
  • Marketplace for shared flows
  • 180+ contributors

Dify Self-Hosted

$15/mo
  • 2GB RAM recommended
  • ~700MB Docker image
  • Apache-2.0 (with commons clause for enterprise)
  • Plugin marketplace
  • 400+ contributors

Or: Host Both on VM Nebula

Skip the DevOps entirely. Deploy Flowise and Dify with one click, persistent storage included, auto-SSL, and subdomain routing — starting at $9.99/month.

When to Use Each (Real Scenarios)

Choose Flowise when:

Developers building RAG chatbots and LLM agent chains with minimal code using visual interface. Key features include drag-and-drop chatflow builder, 20+ llm providers native, 6+ vector store integrations, making it the go-to choice for AI development workflows.

Choose Dify when:

Teams building production LLM applications who want an all-in-one platform with visual builder and built-in observability. It stands out with visual ai workflow builder, rag pipeline with advanced chunking, multi-model support (100+ models), making it ideal for LLM-powered applications.

Use both together when:

You need the strengths of both. Flowise handles drag-and-drop chatflow builder while Dify provides visual ai workflow builder. Many production teams combine them via APIs for a complete AI stack.

Deploy Flowise + Dify in 20 seconds

Persistent storage. Auto-SSL. Subdomain routing. No DevOps required.

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Frequently Asked Questions

Is Flowise better than Dify in 2026?
Flowise scores 8.3/10 overall while Dify scores 8.3/10. Flowise excels at drag-and-drop chatflow builder, while Dify is stronger for visual ai workflow builder. The best choice depends on your specific use case.
How much does it cost to self-host Flowise vs Dify?
Self-hosting Flowise costs approximately $7/month (512MB RAM minimum). Dify costs about $15/month (2GB RAM minimum). Both can be hosted on VM Nebula starting at $9.99/month.
Can Flowise replace Dify?
In many cases yes, as both are LLM Orchestration tools. However, Flowise is better for developers building rag chatbots and llm agent chains with minimal code using visual interface, while Dify is optimized for teams building production llm applications who want an all-in-one platform with visual builder and built-in observability.
Which is easier to set up: Flowise or Dify?
Flowise is easier to set up (ease-of-use score: 9/10). Dify requires more configuration (score: 8.5/10). Drag-and-drop chatflow builder makes the initial setup straightforward.
What is the cheapest way to run Flowise and Dify?
The cheapest option is self-hosting on a single VM. Flowise only needs 512MB RAM ($7/mo). For both together, a $9.99/month VM Nebula instance with Docker Compose handles both with persistent storage, auto-SSL, and automatic restarts included.

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