Langfuse vs Open WebUI
A side-by-side comparison to help you choose the right tool.
89
Langfuse scores higher overall (89/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Langfuse | Open WebUI |
|---|---|---|
| Our score | 89 | 86 |
| Pricing | Open-source self-hosted core plus commercial/cloud options depending on deployment path. | Open-source software; hosting and infrastructure are your responsibility. |
| Free plan | Yes | Yes |
| Best for | Teams shipping LLM apps in production, Developers who need traces and evaluation workflows, Organizations standardizing prompt and experiment tracking | Teams wanting a self-hosted chat UI quickly, Users running local models through Ollama or APIs, Admins who want a friendlier front end for model access |
| Platforms | web, linux, api | web, linux, mac, windows |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Visit site | Visit site |
Langfuse
89
- Pricing
- Open-source self-hosted core plus commercial/cloud options depending on deployment path.
- Free plan
- Yes
- Best for
- Teams shipping LLM apps in production, Developers who need traces and evaluation workflows, Organizations standardizing prompt and experiment tracking
- Platforms
- web, linux, api
- API
- Yes
- Languages
- en
- Pricing
- Open-source software; hosting and infrastructure are your responsibility.
- Free plan
- Yes
- Best for
- Teams wanting a self-hosted chat UI quickly, Users running local models through Ollama or APIs, Admins who want a friendlier front end for model access
- Platforms
- web, linux, mac, windows
- API
- Yes
- Languages
- en
89Choose Langfuse if:
- You are Teams shipping LLM apps in production
- You are Developers who need traces and evaluation workflows
- You are Organizations standardizing prompt and experiment tracking
- You want to start free
86Choose Open WebUI if:
- You are Teams wanting a self-hosted chat UI quickly
- You are Users running local models through Ollama or APIs
- You are Admins who want a friendlier front end for model access
- You want to start free
FAQ
- What is the difference between Langfuse and Open WebUI?
- Langfuse is an open-source observability and prompt-management platform for llm applications, with tracing, datasets, and evaluation support. Open WebUI is an open-source web interface for using local or remote models with features like rag, admin controls, and multi-model access.
- Which is cheaper, Langfuse or Open WebUI?
- Langfuse: Open-source self-hosted core plus commercial/cloud options depending on deployment path.. Open WebUI: Open-source software; hosting and infrastructure are your responsibility.. Langfuse has a free plan. Open WebUI has a free plan.
- Who is Langfuse best for?
- Langfuse is best for Teams shipping LLM apps in production, Developers who need traces and evaluation workflows, Organizations standardizing prompt and experiment tracking.
- Who is Open WebUI best for?
- Open WebUI is best for Teams wanting a self-hosted chat UI quickly, Users running local models through Ollama or APIs, Admins who want a friendlier front end for model access.