Measuring agent and LLM output quality, regressions, and safety. Ranked by community traction, with live GitHub stars and what each is best at.
Test-driven prompt and agent development — evals, red-teaming, and side-by-side model comparison from the CLI. Best for prompt evals.
Pytest-like framework for unit-testing LLM outputs with metrics for hallucination, relevancy, and bias. Best for LLM unit tests.
Evaluation toolkit for RAG pipelines — faithfulness, answer relevancy, and context metrics without ground truth. Best for RAG evaluation.
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