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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.
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Latest capture 2026-07-15 03:10
7 captures since 2026-05-22
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Scanned 2026-07-15 03:10
pyproject.toml
python ecosystem,
61 dependencies
ui/package.json
javascript ecosystem,
1 dependency
ui/pnpm-lock.yaml
javascript ecosystem,
434 dependencies
ui/html-visual-testing/package.json
javascript ecosystem,
2 dependencies
ui/service/package.json
javascript ecosystem,
13 dependencies
ui/standalone/package.json
javascript ecosystem,
9 dependencies
examples/grafana/grafana_data_drift_dashboard/requirements.txt
python ecosystem,
13 dependencies
examples/grafana/grafana_llm_evaluation_dashboard/requirements.txt
python ecosystem,
14 dependencies
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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
The LLM Evaluation Framework
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.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
