# Dashboards

`Dashboard` helps visually explore and evaluate the data and model performance.

You can generate dashboards in certain notebook environments (see full list below) or using the command-line interface. The dashboards can be displayed directly in the notebook, or exported as a separate HTML file.

To specify which analysis you want to perform, you should select a `Tab` (for example, a `DataDriftTab`). You can combine several tabs in a single Dashboard (for example, for Data Drift and Prediction Drift). Each tab contains a combination of metrics, interactive plots, and tables for a chosen [Report](/v0.1.57/reports.md) type.

For a step-by-step introduction, we recommend you to go first through the [Getting Started tutorial](/v0.1.57/tutorial.md).

## Supported environments

You can generate the dashboards in **Jupyter notebooks**.

{% hint style="info" %}
If you want to display the dashboards in Jupyter notebook, make sure you [installed](/v0.1.57/install-evidently.md) the Jupyter **nbextension**.
{% endhint %}

You can also use **Google Colab**, **Kaggle Kernel**, or **Deepnote**. Review the related section for some details.

If you use **Jupyter Lab**, you won't be able to explore the reports inside a Jupyter notebook. However, the report generation in a separate HTML file will work correctly.


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