Key features
Core capabilities each platform advertises.
Data not available
- Hallucination detection
- Tool-call failure monitoring
- Prompt injection detection
- User frustration signals
- Actionable trace analysis
Updated March 27, 2026
DeepEval is an open-source LLM evaluation framework built for unit testing AI outputs. It provides 14+ evaluation metrics including hallucination detection, answer relevancy, and contextual recall. Integrates with pytest, supports custom metrics, and works with any LLM provider for automated quality assurance in CI/CD pipelines.
Turns agent conversations and tool traces into actionable signals — detects hallucinations, tool-call failures, prompt injections, and user frustration.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
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