Langflowvsn8n

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Full review →Website ↗

n8n

Automation Platforms

Open-source workflow automation with built-in AI capabilities

Full review →Website ↗
FeatureLangflown8n
CategoryAutomation PlatformsAutomation Platforms
PricingFree (open-source) + CloudFree (self-hosted), cloud from $20/mo
GitHub Stars
35k
✓ More stars
52k
PlatformsLinux, macOS, Windows, Docker, WebmacOS, Linux, Windows, Docker
Key Features
  • ✓ Visual builder
  • ✓ Drag-and-drop
  • ✓ Component library
  • ✓ API export
  • ✓ Multi-model
  • ✓ 400+ integrations (APIs, databases, SaaS)
  • ✓ Native AI nodes (LLM, vector store, RAG chains)
  • ✓ Visual drag-and-drop workflow builder
  • ✓ Self-hostable via Docker (full data control)
  • ✓ Webhook triggers, cron schedules, event-driven
  • ✓ JavaScript/Python code nodes for custom logic
  • ✓ Credential management and encryption
  • ✓ Active community (52K+ GitHub stars)
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Self-hostable (full data control)
  • + 400+ integrations
  • + Visual workflow builder
  • + Native AI/LLM nodes
  • + Active community
Cons
  • − Tied to LangChain ecosystem
  • − Limited for very custom logic
  • − Can be slow for complex flows
  • − Still maturing
  • − Resource-heavy for self-hosting
  • − Learning curve for complex workflows
Tags
no-codevisuallangchainopen-source
automationworkflowno-codeself-hostedintegrations

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