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 2026-09-08 03:07
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The E2E AI testing tool | No ML Overhead
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.
The LLM Evaluation Framework
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
