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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.

1. Installing PyGraphistry

2. Visualizing Existing Graphs

3. Graphing any CSV

4. In-Tool Tutorial

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



UI Guides


Graphistry Setup


REST APIs


PowerBI

- 10 minutes to PowerBI


GFQL

- 10 minutes to GFQL

- How to build GFQL queries


Python Notebooks & API

- PyGraphistry Homepage (GitHub)

- PyGraphistry API (ReadTheDocs)

- Jupyter Notebook Examples (GitHub)

- Pygraphistry Databricks Examples (GitHub)

- Graph Algorithms


Visual Playbooks

- Connectors

- Pivots

- Templates


JavaScript Libraries

- React - Storybook

- React - API

- Browser JS - Storybook

- Browser JS - Example

- Browser JS - API

- Node.js - API

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