answered from live GitHub & Hugging Face data

Dify vs Open-WebUI — which platform should I choose for building collaborative AI workflows?

langgenius/difyno license
MaintActive · today
Stars152k
Release1.16.115d ago
Contrib1.4k
Issues1k open
MaintActive · today
Stars149k
Releasev0.11.016d ago
Contrib863
Issues371 open

Choosing between Dify and Open-WebUI for collaborative AI workflows? Prepare for a surprise: while both platforms are actively maintained and feature-rich, they cater to different audiences and use cases.

Overview of Both Platforms

Comparative Snapshot

Feature Dify Open-WebUI
Stars 152,187 148,555
Language TypeScript Python
Maintenance ✅ (frequent updates) ✅ (frequent updates)
Open Issues 1,024 371
Key Strengths Workflow customization, model support Extensibility, user-friendly interface
Setup Docker Compose, easy deployment Pip, Docker, Kubernetes
License NOASSERTION NOASSERTION

Verdict and Recommendation

Both platforms are well-maintained and offer differing strengths:

In summary, Dify shines in structured modeling and workflow management, while Open-WebUI excels in interface and multi-model integration. Your choice should hinge on whether you prioritize structured workflows or user interaction capabilities.

github.com/langgenius/difygithub.com/langbot-app/LangBotgithub.com/svcvit/Awesome-Dify-Workflowgithub.com/xinnan-tech/xiaozhi-esp32-servergithub.com/evolution-foundation/evolution-apigithub.com/open-webui/open-webuigithub.com/HKUDS/nanobotgithub.com/siteboon/claudecodeuigithub.com/open-webui/mcpogithub.com/Osmantic/ODS
Answered live from GitHub & Hugging Face · openai/gpt-4o-mini · 8/12/2026

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