yFiles Graphs for JupyterVisualize graph networks with Python
The graphing extension that makes your data more usable
yFiles Graphs for Jupyter is a free diagram visualization extension for JupyterLab and Jupyter Notebook. You can easily load structures from your favorite Python graph package and benefit from the superior visualization and automatic layouts of our established yFiles SDK.
Gain new insights into your data and create readable representations of your network by utilizing the automatic layout algorithms, inspecting the item’s neighbors and associated data, mapping data to colors, and more.
You can use this extension in the default Jupyter environments, but also in other environments like VS Code or Google Colab.
yFiles Graphs for Jupyter is a free diagram visualization extension for JupyterLab and Jupyter Notebook. It can import structured data from popular Python graph packages like NetworkX, igraph, PyGraphviz, Neo4j, or any structured list of nodes and edges.
Powerful layout algorithms from our established yFiles SDK are included. You can easily apply the whole range – organic, hierarchic, tree, orthogonal, circular, and radial – to your graph structure. A suitable, clear visualization helps you gain a better understanding of your data.
The embedded extension provides interactive features like automatic layouts, item neighborhood and data views, and search capabilities, as well as an API to integrate the high-performance algorithms and specify data-driven mappings for item color or geometry.
Why use yFiles Graphs for Jupyter?
Import and Visualize
Import from popular Python graph packages and create revealing yet concise visualizations. Just pass the graph data of NetworkX, graph-tool, igraph, PyGraphviz, or structured node and edge lists to the widget and interactively explore your network.
Benefit of yFiles' superior automatic layout algorithms. Easily arrange your graph with different layout styles: Hierarchic, organic (force-directed), tree, orthogonal, circular, or radial. Each layout style highlights different structural features of the graph and helps you gain new insights into the data.
yFiles offers customizable, data-driven mappings for nodes and edges. These mappings let you adjust visual aspects of the diagram - like color, scale, and edge thickness - as well as structural aspects like an item label or position.
See node neighborhood
Check the sidebar's Neighborhood tab to explore node connections and view their adjacent items.See how it works
Choose graph layout
Select a graph layout from the toolbar to rearrange your graph items automatically.See how it works
Investigate node or edge data
Explore node and edge properties in the data tab of the sidebar to inspect your item's data.See how it works
Search for nodes or edges
Find specific nodes and edges in your graph with the integrated graph search.See how it works
Import graph dataSee how it works
Change properties based on data
Use your business data to adjust the visualization of nodes and edges with versatile data mapping functions.See how it works
Explore our numerous sample Notebooks that showcase the most popular features:
Valuable visualizations – at no cost
We are pleased to offer you a perpetual, free, non-transferable license to install and dynamically use this extension in your browser on top of your Jupyter system.
yFiles Graphs for Jupyter is an extension for JupyterLab and Jupyter Notebook. Besides the default Jupyter environments, the extension is also supported in other environments like VS Code or Google Colab.
It is based on yFiles - the superior diagramming SDK. You can try a fully-functional version of yFiles free of charge. Explore the whole scope of graph drawing and integrate interactive visualizations into your own software products!
You can use yFiles Graphs for Jupyter in many environments that support Jupyter notebooks:
In case you need a specific activation for your domain, contact us.
Video guides and tutorials
Quick start tutorial
Webinar yFiles Graphs for Jupyter
Install JupyterLab or Jupyter Notebook on your system.
Instantiate the extension, import structured graph data, and start exploring!
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Why, how, what? —Just ask the diagramming experts!
Our team is happy to advise you – no strings attached. Let's talk about your project and find the perfect solution for your needs!
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