Evals — A landscape catalog of the platforms, frameworks, libraries, and benchmark suites used to evaluate large language models, LLM-based applications, and AI agents. The topic spans human-rated, LLM-as-a-judge, reference-based, reference-free, and benchmark-aligned approaches to measuring AI system quality. - View it on GitHub