Dify vs Open-WebUI
| Tagline | Open-source LLM app development platform with visual workflow, RAG, and agent builder | Feature-rich self-hosted chat UI for Ollama and OpenAI-compatible APIs |
| Category | AI & LLM Tools | AI & LLM Tools |
| Replaces | ChatGPT, OpenAI API | ChatGPT, OpenAI API |
| GitHub stars | 58k | 143k |
| Language | Python | Docker |
| License | Apache-2.0 | BSD-3-Clause |
| Self-host difficulty | 3/5 Moderate | 2/5 Easy |
| Deploy options | Docker Compose Kubernetes | Docker Docker Compose |
| Managed hosting | ||
| Last updated | 1 month ago | 8 days ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Dify
- Self-hosted community edition lacks SSO and audit logs (cloud-only)
- Requires multiple services (Postgres, Redis, Weaviate/Qdrant) increasing ops burden
- Plugin marketplace is smaller than commercial AI platforms
Open-WebUI
- Advanced reasoning models and GPT-4o-level capabilities depend entirely on the underlying model quality
- No native mobile app; browser-only experience
- Enterprise SSO/SAML and audit logging require additional configuration
- Plugin/tool ecosystem is smaller and less mature than ChatGPT's GPT store
Bottom line
Choose Open-WebUI if you want the lower-effort setup; choose Open-WebUI for the larger community and ecosystem. Open-WebUI has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Dify
Open-source LLM app development platform with visual workflow, RAG, and agent builder