Flowise vs Open-WebUI
| Tagline | Drag-and-drop UI to build LLM-powered flows, chatbots, and AI agents visually | 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 | 35k | 143k |
| Language | TypeScript | Docker |
| License | Apache-2.0 | BSD-3-Clause |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | Docker Docker Compose Manual | 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.
Flowise
- Visual canvas can become unmanageable for complex production pipelines
- No built-in fine-tuning or model training support
- Enterprise auth (SSO, RBAC) requires paid managed plan
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
Both are a similar lift to self-host; 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.
Flowise
Drag-and-drop UI to build LLM-powered flows, chatbots, and AI agents visually