AI Use Cases

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

n8n vs Langflow

n8n scores 100 to Langflow's 98 on public evidence for AI workflow automation, and they rank #1 and #2 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 ↗

Langflow

Visual low-code builder for RAG and multi-agent flows, acquired by DataStax and now part of IBM.

+ Python-native components can be edited inline, so flows are not limited to built-in nodes.
− Several critical security vulnerabilities in 2025 made exposed instances risky.

98—
evidence / 100

Open Langflow ↗

Side by side

public evidence
n8nLangflow
Evidence score / 10010098
GitHub stars207,742155,764
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 · Free self-hosted
Platformsweb, linux, mac, windowsweb, linux, mac, windows
Makern8nLangflow (IBM/DataStax)

Which one?

Pick n8n if

  • you want the stronger public evidence (100 vs 98)

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

Pick Langflow if

Python-native components can be edited inline, so flows are not limited to built-in nodes.

Best for Python developers who want a visual canvas.

Where they compete

More comparisons