Visual analysis and debugging

Evidently helps evaluate and monitor machine learning models in production. It generates interactive reports or JSON profiles from pandas DataFramesor csv files.
You can use visual reports for ad hoc analysis, debugging and team sharing, and JSON profiles to integrate Evidently in prediction pipelines or with other visualization tools.
Evidently currently works with tabular data. 6 reports are available.


The primary use for Evidently is the comparison between two datasets. These datasets are model application logs. They can include model input features, predictions, and/or actuals (true labels).
Reference dataset serves as a basis for the comparison.Current (Production) dataset is the dataset that is compared to the first.

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Tutorial and documentation

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