⚡ TL;DR — The Verdict

Flowise (8.3/10) vs LangFlow (8.2/10) — extremely close. Flowise stands out with drag-and-drop chatflow builder and 80+ integrations. LangFlow wins on visual drag-and-drop flow builder with Flowise is cheaper to self-host. Your choice depends on whether you prioritize workflow style.

Flowise vs LangFlow: 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

LangFlow

8.2
Best for: a visual way to build and iterate on LangChain-based LLM applications

Head-to-Head Comparison

Feature Flowise LangFlow
Primary Use Case Open-source visual LLM chain and RAG builder with drag-and-drop interface for creating chatflows and AI agents Visual framework for building multi-agent and RAG applications with a Python-based drag-and-drop UI
GitHub Stars 28,000+ 35,000+
Integrations 80+ 100+
Language TypeScript Python
License Apache-2.0 MIT
Min RAM 512MB 1GB
Docker Image Size ~420MB ~650MB
Self-Host Cost $7/mo $10/mo
Cloud Pricing $35/mo N/A (self-host only)
Ease of Use 9/10 8.5/10
AI Capabilities 9/10 8.5/10
Community Score 7.5/10 8/10
Contributors 180+ 200+

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

LangFlow Self-Hosted

$10/mo
  • 1GB RAM sufficient
  • ~650MB Docker image
  • MIT
  • Flow sharing marketplace
  • 200+ contributors

Or: Host Both on VM Nebula

Skip the DevOps entirely. Deploy Flowise and LangFlow 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 LangFlow when:

Python developers wanting a visual way to build and iterate on LangChain-based LLM applications. It stands out with visual drag-and-drop flow builder, python-native components, multi-agent orchestration, 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 LangFlow provides visual drag-and-drop flow builder. Many production teams combine them via APIs for a complete AI stack.

Deploy Flowise + LangFlow in 20 seconds

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

Start Free on VM Nebula →

Frequently Asked Questions

Is Flowise better than LangFlow in 2026?
Flowise scores 8.3/10 overall while LangFlow scores 8.2/10. Flowise excels at drag-and-drop chatflow builder, while LangFlow is stronger for visual drag-and-drop flow builder. The best choice depends on your specific use case.
How much does it cost to self-host Flowise vs LangFlow?
Self-hosting Flowise costs approximately $7/month (512MB RAM minimum). LangFlow costs about $10/month (1GB RAM minimum). Both can be hosted on VM Nebula starting at $9.99/month.
Can Flowise replace LangFlow?
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 LangFlow is optimized for python developers wanting a visual way to build and iterate on langchain-based llm applications.
Which is easier to set up: Flowise or LangFlow?
Flowise is easier to set up (ease-of-use score: 9/10). LangFlow 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 LangFlow?
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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