#html-report

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.

Generate Actionable, automatic screenshots, unified Pytest HTML report in less than 3 seconds — no hooks, merge plugins, no config, xdist-ready.

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.