Examples

Sample notebooks and tutorials

Sample notebooks

Here you can find simple examples on toy datasets to quickly explore what Evidently can do right out of the box. Each example shows how to create a default Evidently dashboard, a JSON profile and an HTML report.

Report	Jupyter notebook	Colab notebook	Data source
Data Drift + Categorical Target Drift (Multiclass)	link	link	Iris plants sklearn.datasets
Data Drift + Categorical Target Drift (Binary)	link	link	Breast cancer sklearn.datasets
Data Drift + Numerical Target Drift	link	link	California housing sklearn.datasets
Regression Performance	link	link	Bike sharing UCI: link
Classification Performance (Multiclass)	link	link	Iris plants sklearn.datasets
Probabilistic Classification Performance (Multiclass)	link	link	Iris plants sklearn.datasets
Classification Performance (Binary)	link	link	Breast cancer sklearn.datasets
Probabilistic Classification Performance (Binary)	link	link	Breast cancer sklearn.datasets
Data Quality	link	link	Bike sharing UCI: link

Tutorials

To better understand potential use cases for Evidently (such as model evaluation and monitoring), refer to the detailed tutorials accompanied by the blog posts.

Title	Jupyter notebook	Colab notebook	Blog post	Data source
Monitor production model decay	link	link	How to break a model in 20 days. A tutorial on production model analytics.	Bike sharing UCI: link
Compare two models before deployment	link	link	What Is Your Model Hiding? A Tutorial on Evaluating ML Models.	HR Employee Attrition: link
Evaluate and visualize historical drift	link	link	How to detect, evaluate and visualize historical drifts in the data.	Bike sharing UCI: link
Create a custom report (tab) with PSI widget for drift detection	link	link	---	California housing sklearn.datasets

Integrations

To see how to integrate Evidently in your prediction pipelines and use it with other tools, refer to the integrations.

Integrations