Notebook Setup

In this tutorial, we're going to use the PyGraphistry python library to create and visualize our first graph, then move on to more advanced techniques like creating a graph from any CSV, modifying visualization properties, and analyzing data from within the Graphistry visual environment.

Installing Graphistry locally with Docker

Visualize our first graph using a Jupyter notebook

Learn about hypergraphs and upload any CSV to Graphistry

Discover all the tools available within our visualization

Section 4. UI Tutorials

For more information on in tool usage, tips and tricks, see either our UI Guide page, or browse our UI Guide slideshow below.

Browse UI Guide slideshow

Next: UI Guide