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
Bike sharing UCI: link
Compare two models before deployment
link
link
HR Employee Attrition: link
Evaluate and visualize historical drift
link
link
Bike sharing UCI: link
Create a custom report (tab) with PSI widget for drift detection
link
link
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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.
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