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Head-to-Head Technical Benchmark

n8n vs Open WebUI

Technical hardware and popularity breakdown for self-hosting n8n and Open WebUI on cloud VPS servers.

Canonical Comparison URL: /compare/n8n-vs-open-webui
Interactive Tool Matchup

Switch Matchup or Select New Apps

Change Candidate A or Candidate B to compare specs against any open-source tool in the directory.

VS
Candidate A

n8n

n8n-io/n8n
★ 56.4k

Fair-code workflow automation platform with 400+ native integrations and custom JS/Python nodes.

Min RAM
2 GB
Lower RAM
CPU Cores
1 vCPU
Disk Storage
20 GB
Deploy n8n Docker Compose →
Candidate B

Open WebUI

open-webui/open-webui
★ 72.3k

Feature-rich, self-hosted web interface for Ollama, OpenAI-compatible APIs, and local LLMs.

Min RAM
2 GB
Lower RAM
CPU Cores
2 vCPU
Disk Storage
20 GB
Deploy Open WebUI Docker Compose →

Full Technical Benchmark Breakdown

Specification n8n Open WebUI Advantage
Primary Category automation ai-llms —
Minimum RAM Required 2 GB 2 GB Equal Memory
GitHub Stars ★ 56,400 ★ 72,300 Open WebUI (+15,900 stars)
GitHub Forks 7,800 8,900 Open WebUI
License Sustainable-Use MIT Open-Source
Primary Language TypeScript Python —
Docker Image docker.n8n.io/n8nio/n8n:latest ghcr.io/open-webui/open-webui:main Both Container Ready
Multi-App Server Sizing

Can You Run Both n8n & Open WebUI Together?

Yes! Running both simultaneously requires approximately 6 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.