DeepEval
The Open-Source LLM Evaluation Framework
Overview
DeepEval is an open-source framework that brings the principles of unit testing to LLM application development. It integrates natively with Pytest, allowing developers to write evaluation test cases for their LLM outputs in a familiar format. DeepEval provides over 14 research-backed metrics, including G-Eval (LLM-as-a-judge), hallucination detection, and RAG-specific metrics. It is designed to be a comprehensive toolkit for ensuring the quality and reliability of LLM systems, from individual components to end-to-end applications. Confident AI is the company behind DeepEval, offering a cloud platform for advanced testing and monitoring.
✨ Key Features
- Unit Testing for LLMs
- Native Pytest Integration
- 50+ Research-backed Metrics
- LLM-as-a-Judge (G-Eval)
- RAG Evaluation Metrics
- Hallucination & Bias Detection
- Open Source
🎯 Key Differentiators
- Focus on unit testing paradigm for LLMs
- Seamless integration with Pytest
- Implementation of advanced, research-backed metrics like G-Eval
- Developer-first and open-source
Unique Value: DeepEval brings the discipline and automation of unit testing to LLM development, enabling teams to build more robust and reliable AI applications by integrating evaluation directly into their existing workflows.
🎯 Use Cases (5)
✅ Best For
- Creating a test suite to prevent regressions in an LLM application
- Using G-Eval to score responses based on custom criteria
- Automating the evaluation of a RAG system's performance
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Real-time production observability and tracing
- ML experiment tracking for model training
🏆 Alternatives
DeepEval's key innovation is its tight integration with Pytest, making it feel native to Python developers. This focus on a 'testing' paradigm, rather than just 'evaluation' or 'observability', sets it apart from many other tools.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Confident AI Enterprise tier)
💰 Pricing
✓ 14-day free trial
Free tier: The DeepEval framework is completely free and open-source. The Confident AI cloud platform has a free tier.
🔄 Similar Tools in LLM Evaluation & Testing
Arize AI
An end-to-end platform for ML observability and evaluation, helping teams monitor, troubleshoot, and...
Deepchecks
An open-source and enterprise platform for testing and validating machine learning models and data, ...
Langfuse
An open-source platform for tracing, debugging, and evaluating LLM applications, helping teams build...
LangSmith
A platform from the creators of LangChain for debugging, testing, evaluating, and monitoring LLM app...
Weights & Biases
A platform for tracking experiments, versioning data, and managing models, with growing support for ...
Galileo
An enterprise-grade platform for evaluating, monitoring, and optimizing LLM applications, with a foc...