DeepEval
FreemiumOpen-source LLM evaluation framework with 50+ metrics and CI integration.
Tool Info
Overview
DeepEval is a Python framework for unit testing LLM outputs with research-backed metrics.
It integrates with pytest for automated evaluation in CI pipelines.
Widely used for RAG faithfulness, relevance, and hallucination detection.
Features
- 50+ evaluation metrics
- Pytest integration
- G-Eval and DAG metrics
- Confident AI dashboard
Pricing
Pros
- Developer-friendly API
- Strong RAG metrics
- CI/CD ready
Best For
When NOT to Use
- Some metrics need LLM-judge calls
- Cloud features are paid
Typical Users
Related Tools
Alternatives
Tags
Related Guides
- LLM Evaluation
Measuring LLM output quality - automated metrics, human eval, LLM-as-judge, and building eval pipelines.
- RAG Evaluation
Evaluating RAG systems - faithfulness, answer relevance, context precision, and frameworks like RAGAS.
- Evaluation
Learn how to measure and improve the quality, accuracy, and reliability of AI systems.
- Prompt Evaluation
Systematically testing and comparing prompts - A/B testing, prompt versioning, and regression detection.
Stay Updated
Get the latest AI news, tools, and engineering guides delivered to your inbox.
Subscribe to Newsletter