Directory / DeepEval
DeepEval
Verified
Pytest-flavored evals for LLM systems.
DeepEval is an open-source evaluation framework that feels like pytest: metrics, datasets, and CI. Confident AI is the commercial layer. Use it when the factory’s verification is “did the agent satisfy these metrics.”
- Model independence
- Multi-model
- Deployment
- Self-hosted
- Open source
- Yes
- License
- Apache-2.0
- Pricing model
- Mixed
- Added / updated
- 19 Aug 2026 / 19 Aug 2026
www.deepeval.com · Docs · Source
Editorial take
DeepEval vs Promptfoo is taste: pytest vs YAML. Both are gates if you treat them as gates. LLM-as-judge metrics need a second look; they are not typecheck. We list both because teams actually pick one.
Strengths
- Apache-2.0, pytest-native workflow.
- Broad metric library.
- CI-friendly.
Limitations
- Judge-model metrics can be gamed.
- Commercial Confident AI is a different surface.
- Not a human review replacement.
Compare
- vs promptfoo — Two eval harnesses used as factory quality gates.