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Head-to-Head Technical Benchmark

Open WebUI vs Vikunja

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

Canonical Comparison URL: /compare/open-webui-vs-vikunja
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

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
CPU Cores
2 vCPU
Disk Storage
20 GB
Deploy Open WebUI Docker Compose →
Candidate B

Vikunja

go-vikunja/vikunja
★ 0

Open-source, self-hostable to-do app and project planner with Kanban, Gantt, and table views.

Min RAM
512 MB
Lower RAM
CPU Cores
1 vCPU
Disk Storage
10 GB
Deploy Vikunja Docker Compose →

Full Technical Benchmark Breakdown

Specification Open WebUI Vikunja Advantage
Primary Category ai-llms productivity —
Minimum RAM Required 2 GB 512 MB Vikunja (1.5 GB lighter)
GitHub Stars ★ 72,300 ★ 0 Open WebUI (+72,300 stars)
GitHub Forks 8,900 0 Open WebUI
License MIT FOSS Open-Source
Primary Language Python N/A —
Docker Image ghcr.io/open-webui/open-webui:main vikunja/vikunja:latest Both Container Ready
Multi-App Server Sizing

Can You Run Both Open WebUI & Vikunja Together?

Yes! Running both simultaneously requires approximately 4 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.

Open VPS RAM Calculator Deploy 4GB VPS ($6.99/mo) →