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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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Latest capture 2026-07-15 03:16
6 captures since 2026-05-25
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Scanned 2026-07-15 03:16
pyproject.toml
python ecosystem,
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evals/elsuite/hr_ml_agent_bench/requirements.txt
python ecosystem,
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evals/solvers/providers/google/requirements.txt
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evals/elsuite/multistep_web_tasks/docker/homepage/requirements.txt
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evals/elsuite/steganography/scripts/dataset/requirements.txt
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evals/elsuite/text_compression/scripts/dataset/requirements.txt
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evals/elsuite/hr_ml_agent_bench/benchmarks/bipedal_walker/scripts/requirements.txt
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evals/elsuite/hr_ml_agent_bench/benchmarks/cartpole/scripts/requirements.txt
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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.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
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