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.
| Feature | Agenta | DeepEval |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 89 · Excellent | 95 · Excellent |
| 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 | ★ 4,776 | ★ 18,403 |
| First released | 2023 | 2023 |
| Replaces | LangSmith | LangSmith, Braintrust |
What are Agenta and DeepEval?
Agenta
Agenta is an end-to-end LLMOps platform that combines prompt management, evaluation and observability for building production LLM applications. It can be fully self-hosted with Docker Compose.
- Prompt playground
- Evaluation suite
- Observability tracing
- Self-hosted with Docker
DeepEval
DeepEval is an open-source evaluation framework that brings unit-testing-style assertions to large language model outputs. It includes metrics for hallucination, relevancy, and bias and integrates with pytest for local CI.
- Pytest-style LLM tests
- 14+ built-in metrics
- Synthetic dataset generation
- CI/CD integration
Agenta vs DeepEval: key differences
Agenta is written in TypeScript, while DeepEval is built with Python. Licensing differs — MIT for Agenta versus Apache-2.0 for DeepEval. DeepEval is the lighter option, starting around 1,024 MB of RAM against 2,048 MB for Agenta. DeepEval has the considerably larger community, at 18,403 GitHub stars versus 4,776. Agenta lists first-class Docker deployment; DeepEval does not.
Why pick each one
Choose Agenta if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Active community (4.8k GitHub stars)
- Written in TypeScript
Choose DeepEval if…
- Pytest-style LLM tests
- Rich metric library
- Runs in CI
Watch out for
- LLM judge token costs
- Cloud platform upsell
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.
Which is lighter on resources, Agenta or DeepEval?
DeepEval has the smaller minimum footprint at 1,024 MB of RAM, compared to about 2,048 MB for Agenta. Real-world usage depends on library size, user count, and enabled features.