> For the complete documentation index, see [llms.txt](https://docs-old.evidentlyai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-old.evidentlyai.com/v0.1.57/features/dashboards/notebook_environments.md).

# Colab and other environments

To install `evidently`, run the following command in the notebook cell:

```
!pip install evidently
```

To build a `Dashboard` or a `Profile` in Google Colab, Kaggle Notebook or Deepnote, simply repeat the steps described above.

For example, to build the **Data Drift** dashboard, run:

```python
import pandas as pd
from sklearn import datasets

from evidently.dashboard import Dashboard
from evidently.dashboard.tabs import DataDriftTab

iris = datasets.load_iris()
iris_frame = pd.DataFrame(iris.data, columns = iris.feature_names)

iris_data_drift_report = Dashboard(tabs=[DataDriftTab()])
iris_data_drift_report.calculate(iris_frame[:100], iris_frame[100:])
```

To display the dashboard in the Google Colab, Kaggle Kernel, Deepnote, run:

```python
iris_data_drift_report.show()
```

The `show()` method has the argument `mode` which can take the following options:

* **auto** - the default option. Ideally, you will not need to specify the value for `mode` and can use the default. But if it does not work (in case we failed to determine the environment automatically), consider setting the correct value explicitly.
* **nbextention** - to show the UI using nbextension. Use this option to display dashboards in Jupyter notebooks (it should work automatically).
* **inline** - to insert the UI directly into the cell. Use this option for Google Colab, Kaggle Kernels, and Deepnote. For Google Colab, this should work automatically. For **Kaggle Kernels** and **Deepnote** the option should be specified explicitly:

```
iris_data_drift_report.show(mode='inline')
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs-old.evidentlyai.com/v0.1.57/features/dashboards/notebook_environments.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.