What is Evidently?

What is it?
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.
​1. Data Drift​
Detects changes in feature distribution.
Part of the Data Drift Report.
​2. Numerical Target Drift​
Detects changes in numerical target and feature behavior.
Part of the Target Drift Report.
​3. Categorical Target Drift​
Detects changes in categorical target and feature behavior.
Part of the Categorical Target Drift Report.
​4. Regression Model Performance​
Analyzes the performance of a regression model and model errors.
Part of the Regression Model Performance Report.
​5. Classification Model Performance​
Analyzes the performance and errors of a classification model. Works both for binary and multi-class models.
Part of the Classification Model Performance Report.
​6. Probabilistic Classification Model Performance​
Analyzes the performance of a probabilistic classification model, quality of the model calibration, and model errors. Works both for binary and multi-class models.
Part of the Probabilstic Classification Model Performance Report.
Install Evidently
Quick start
Examples
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