AI Use Cases

Head to head · Agents & automation · updated Oct 26, 2026

n8n vs Make

n8n scores 94 to Make's 76 on public evidence for AI workflow automation, and they rank #1 and #4 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.

94▲ 71
evidence / 100

Open n8n ↗

Make

Visual automation platform with branching scenarios, AI agents, and detailed data mapping.

+ Visual scenario canvas handles complex branching and iteration better than Zapier.
− Operations-based billing and error handling confuse newcomers.

76▼ 15
evidence / 100

Open Make ↗

Side by side

public evidence
n8nMake
Evidence score / 1009476
GitHub stars208,676closed source
Hacker News stories, 30d014
Release-feed mentions, 30d0247
Last activity0 days ago0 days ago
PricingFree tier · Self-host free; Cloud from about $24/moFree tier · Core from $9/mo
Platformsweb, linux, mac, windowsweb
Makern8nMake (Celonis)

Which one?

Pick n8n if

  • you want the stronger public evidence (94 vs 76)
  • you want open source — self-host it, read it, fork it
  • you need it on linux, mac, windows
  • a bigger GitHub community matters (208,676 vs 0 stars)

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

Pick Make if

Visual scenario canvas handles complex branching and iteration better than Zapier.

Best for power users building complex multi-step automations.

Where they compete

More comparisons