Langfuse vs OpenLLMetry
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Langfuse
Open-source observability and analytics for LLM apps
VS
OpenLLMetry
Open-source observability for LLM applications
| Feature | Langfuse | OpenLLMetry |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 512 MB |
| Deployment | docker, kubernetes, helm | docker, source |
| GitHub stars | ★ 32,717 | ★ 7,360 |
| First released | 2023 | 2023 |
| Replaces | LangSmith | LangSmith, Datadog LLM Observability |
Why pick each one
Choose Langfuse if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 32.7k GitHub stars
Choose OpenLLMetry if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 7.4k GitHub stars
- Written in Python
Frequently asked questions
Is Langfuse or OpenLLMetry better?
Neither is universally better. Langfuse has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Langfuse and OpenLLMetry free and open-source?
Yes. Langfuse is licensed under MIT and OpenLLMetry under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Langfuse and OpenLLMetry with Docker?
Langfuse: yes. OpenLLMetry: yes.