Agenta vs DeepEval
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?
Agenta
Open-source LLMOps platform for prompt and app management
VS
DeepEval
Unit testing framework for LLM outputs
| Feature | Agenta | DeepEval |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 1,024 MB |
| Deployment | docker | source |
| GitHub stars | ★ 4,446 | ★ 17,471 |
| First released | 2023 | 2023 |
| Replaces | LangSmith | LangSmith, Braintrust |
Why pick each one
Choose Agenta if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Active community (4.4k GitHub stars)
- Written in TypeScript
Choose DeepEval if…
- Released under the Apache-2.0 license
- Mature project with 17.5k GitHub stars
- Written in Python
Frequently asked questions
Is Agenta or DeepEval 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 Agenta and DeepEval free and open-source?
Yes. Agenta is licensed under MIT and DeepEval under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Agenta and DeepEval with Docker?
Agenta: yes. DeepEval: check the project docs for container support.