Onyx vs Open WebUI
Side-by-side comparison of two AI agent tools
Short answer
- Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +240 for Onyx.
- Pick Onyx for: open Source AI Platform - AI Chat with advanced features that works with every LLM. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).
From GitHub data refreshed daily.
O
Onyxopen-source
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Open WebUIfree
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Metrics
| Onyx | Open WebUI | |
|---|---|---|
| Stars | 32.3k | 153.8k |
| Star velocity /mo | 240 | 3.9k |
| Commits (90d) | 1.6k | 1.5k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8102610712797703 | 0.8872949737970779 |
Pros
- +Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
- +Self-hosted deployment with complete offline capability ensuring data privacy and security control
- +Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment
Cons
- -Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
- -Self-hosting demands dedicated server resources and ongoing system administration
- -Limited to local deployment model, lacking the convenience of managed cloud AI services
Use Cases
- •Enterprise organizations deploying private AI assistants with strict data governance and user access controls
- •Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
- •Educational institutions providing students and faculty with controlled AI access without external data sharing
FAQ
- Which is more popular, Onyx or Open WebUI?
- Open WebUI has more GitHub stars (153,800 vs 32,316).
- Which is more actively developed, Onyx or Open WebUI?
- Onyx had more commits in the last 90 days (1,557 vs 1,515).
- Should I use Onyx or Open WebUI?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.