AI Use Cases

Head to head · Agents & automation · updated Oct 17, 2026

n8n vs Dify

n8n scores 100 to Dify's 96 on public evidence for AI workflow automation, and they rank #1 and #3 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.

n8n

Fair-code workflow automation with native AI agent nodes and self-hosting.

+ Self-hostable with code nodes and LangChain-based AI nodes at a fraction of Zapier's cost.
− Sustainable Use licence is not OSI open source and the learning curve is steeper than Zapier.

100—
evidence / 100

Open n8n ↗

Dify

Open-source LLMOps platform with a visual builder for agents, RAG pipelines, and workflows.

+ Covers prompt management, knowledge bases, and deployable APIs in one self-hostable app.
− Complex workflows get unwieldy in the visual canvas and version control is weak.

96—
evidence / 100

Open Dify ↗

Side by side

public evidence
n8nDify
Evidence score / 10010096
GitHub stars207,742158,681
Hacker News stories, 30d00
Release-feed mentions, 30d00
Last activity0 days ago0 days ago
PricingFree tier · Self-host free; Cloud from about $24/moOpen source · Self-host free; Cloud Professional $59/mo
Platformsweb, linux, mac, windowsweb, linux
Makern8nLangGenius

Which one?

Pick n8n if

  • you want the stronger public evidence (100 vs 96)
  • you need it on mac, windows

Best for technical users who want cheap, self-hosted automations.

Pick Dify if

Covers prompt management, knowledge bases, and deployable APIs in one self-hostable app.

Best for teams shipping LLM apps without much code.

Where they compete

More comparisons