Skip to main content

Interactive data visualization

H2O Notebook Labs has support for many kinds of interactive outputs, including the ipywidgets ecosystem as well as many interactive visualization libraries.

Vega-Altair​

Vega-Altair is a high-level API for creating interactive visualizations. See the Vega-Altair documentation for more information.

Plotly​

Plotly is another interactive plotting library that provides a high-level API for visualization. See the Plotly JupyterLab documentation to get started with Plotly in the notebook.

Bokeh​

Bokeh provides several options for interactive visualizations, and is part of the PyViz ecosystem. See the Bokeh with Jupyter documentation to get started.

ipywidgets​

The ipywidgets library provides a set of interactive widgets for the Jupyter notebook. See the ipywidgets documentation for more information.


Feedback