# DeepEval

**Category:** Model Evaluation & Benchmarking
**Website:** https://docs.confident-ai.com
**GitHub:** https://github.com/confident-ai/deepeval
**Pricing:** Open Source
**Listing status:** verified
**Canonical:** https://aicompliance.ai/tools/deepeval


## Summary

Open-source LLM evaluation framework with pytest-style unit testing for AI applications.

## TL;DR

- DeepEval — Open-source LLM evaluation framework with pytest-style unit testing for AI applications.
- Category: Model Evaluation & Benchmarking.
- Pricing model: Open Source.
- Open-source code available on GitHub.

## Description

DeepEval brings unit testing discipline to LLM outputs: research-backed metrics (G-Eval, hallucination, answer relevancy, RAG faithfulness) exposed as pytest-style assertions that run locally or in CI. It has become the default open-source harness for teams that want regression gates on model quality.

- 30+ research-backed evaluation metrics
- Pytest integration for CI/CD gates
- RAG-specific metrics (faithfulness, contextual recall)
- Synthetic dataset generation

## Core features

- 30+ research-backed evaluation metrics
- Pytest integration for CI/CD gates
- RAG-specific metrics (faithfulness, contextual recall)
- Synthetic dataset generation

## FAQ

### What is DeepEval?

DeepEval brings unit testing discipline to LLM outputs: research-backed metrics (G-Eval, hallucination, answer relevancy, RAG faithfulness) exposed as pytest-style assertions that run locally or in CI. It has become the default open-source harness for teams that want regression gates on model quality.

### Does DeepEval have compliance certifications?

DeepEval does not publicly list specific compliance frameworks in our directory. Confirm the latest posture directly with the vendor at https://docs.confident-ai.com.

### How much does DeepEval cost?

DeepEval is open source, so you can self-host it for free. Managed/cloud tiers may be offered separately.

### Who is DeepEval for?

Teams working on model evaluation & benchmarking — particularly those that need to evidence AI compliance and security controls.

### Is DeepEval open source?

Yes — the source code is available on GitHub at https://github.com/confident-ai/deepeval.


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Canonical HTML page: https://aicompliance.ai/tools/deepeval
Source: AI Compliance Index (https://aicompliance.ai)