DeepEval 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?
DeepEval
Unit testing framework for LLM outputs
VS
OpenLLMetry
Open-source observability for LLM applications
| Feature | DeepEval | OpenLLMetry |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 512 MB |
| Deployment | source | docker, source |
| GitHub stars | ★ 17,471 | ★ 7,360 |
| First released | 2023 | 2023 |
| Replaces | LangSmith, Braintrust | LangSmith, Datadog LLM Observability |
Why pick each one
Choose DeepEval if…
- Released under the Apache-2.0 license
- Mature project with 17.5k GitHub stars
- Written in Python
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 DeepEval or OpenLLMetry better?
Neither is universally better. DeepEval has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are DeepEval and OpenLLMetry free and open-source?
Yes. DeepEval is licensed under Apache-2.0 and OpenLLMetry under Apache-2.0. Both can be self-hosted at no software cost.
Can I run DeepEval and OpenLLMetry with Docker?
DeepEval: check the project docs for container support. OpenLLMetry: yes.