Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
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Latest capture 2026-08-02 03:14
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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
