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Head-to-Head Technical Benchmark

Dify vs Open WebUI

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

Canonical Comparison URL: /compare/dify-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

Dify

langgenius/dify
★ 0

Production-grade LLM application development platform blending agentic workflows and RAG pipelines.

Min RAM
4 GB
CPU Cores
2 vCPU
Disk Storage
30 GB
Deploy Dify 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 Dify Open WebUI Advantage
Primary Category ai-llms ai-llms —
Minimum RAM Required 4 GB 2 GB Open WebUI (2 GB lighter)
GitHub Stars ★ 0 ★ 72,300 Open WebUI (+72,300 stars)
GitHub Forks 0 8,900 Open WebUI
License FOSS MIT Open-Source
Primary Language N/A Python —
Docker Image langgenius/dify-api:latest ghcr.io/open-webui/open-webui:main Both Container Ready
Multi-App Server Sizing

Can You Run Both Dify & Open WebUI Together?

Yes! Running both simultaneously requires approximately 9 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.