Graph visualization is a way to visually represent the connections between entities in data. Typically, entities are represented as nodes and the connections between nodes are represented as edges. The resulting picture of these nodes and edges is a graph.
Graphs are everywhere, spanning use cases such as the graph of connections in a computer network, a social network, a fraud ring, steps in a process, or an organizational hierarchy.
A graph visualization representing a series of tweets.
You've heard the saying “a picture is worth a thousand words,” and it is no different when dealing with large amounts of data. Graph visualization allows us to see the data and its connections.
But not every graph visualization is created equally.
By applying advanced graph visualization techniques such as custom, data-driven user interfaces, a graph can add context to your data and enable meaningful analysis in a way that reading tabular data or unformatted graphs cannot.

Effective graph visualization increases understanding.
Graph drawings are becoming an increasingly important tool for helping enterprises understand their data. Graph structures occur throughout the natural world, and their visual form can make complex relationships easier to understand. Many well-vetted graph techniques are effective for modeling and problem-solving.
Today, graph visualization supports a range of business functions, technical disciplines, and industries, including business intelligence, digital transformation, digital engineering, manufacturing, finance, life sciences, and government.
Tom Sawyer Software has spent decades perfecting graph visualization techniques in our graph platform, Tom Sawyer Perspectives.
Tom Sawyer Perspectives is a low-code graph visualization and analysis application development platform that enables developers to create custom graph applications for visualizing connected data.
Tom Sawyer Perspectives React-based web client framework and support for Web Components provide a rich, dynamic front-end rendering and interaction which can be easily integrated into web application environments such as React, Angular, or any other frameworks that support HTML and JavaScript. In addition, Tom Sawyer Perspectives Java and Swing components enable you to deploy powerful desktop applications. Tom Sawyer Perspectives .NET components also enable you to build powerful web and desktop applications in .NET.
Tom Sawyer Perspectives is optimized with high-speed graphics capabilities and HTML5 canvas graphics. Its extensive graph visualization customization features and advanced rendering framework provide flexibility in how nodes and edges are represented and ensure high performance when rendered in your graph application.
Tom Sawyer Perspectives also includes a set of features that help end users navigate and explore graph visualizations.
Tom Sawyer Perspectives advanced node and edge user interfaces (UIs) enable developers to define distinctive graphical appearances and interactive behaviors for graph elements based on the needs of graph application users.
Tom Sawyer Perspectives provides the following UI customization features:

A swimlane graph of a potential fraud ring.

Tom Sawyer Perspectives provides a range of out-of-the-box node and edge UIs. Available node UI options include Activity Diagram, Class Diagram, Network, Organizational Chart, and Basic Shapes.
Edge UI options include straight, flowing, curved, dashed, and more, with or without arrows.


Using edge templates, you can customize edge style, line thickness, color, and crossing style; add arrows; and more to be as precise as your visualizations require. When edge direction matters, configure edge UI properties differently for source and target nodes.

Multiple node and edge templates give you flexibility to apply different UI templates in different situations. Node UIs can show status, properties, or adjust size or color based on the underlying data or as a result of graph analysis to draw the users attention to and highlight key results.


When working with dynamic data, visual cues can highlight important characteristics of graph elements. For example, capacity or load can be emphasized, as shown in this microwave network example.
In Tom Sawyer Perspectives, developers can define node and edge UI element properties that are evaluated when a UI is displayed. Using expressions composed of functions, the UI can be rendered differently based on the properties and attributes of each drawing element.

In this example, nodes are colored by location, edges are colored by load, and edge thickness reveals capacity so users see trouble spots at a glance.
Seeing the overall structure of a graph is important, but displaying too much information can make the graph difficult to read.
Tom Sawyer Perspectives supports level-of-detail UIs that display more or less information as users zoom in or out of a graph drawing.
Available for both drawing views and map views, the magnifier tool allows users to delve deeper into their graph visualizations by providing an interactive zoom function. Accessed through the magnifier toolbar item or as part of the Select tool, users then hold the Spacebar enabling them to interactively explore the finer details of their graphs.
Learn more by watching our easy how-to video on using the magnifier tool.
Sometimes it's the small details that can make a big difference to your end users. Tom Sawyer Perspectives provides a comprehensive set of options that add additional value to your graph visualizations, including:

A graph showing a selected node, a highlighted node, and a tooltip.
Once the visualizations are in front of your end-users, having additional tools at their disposal can enhance their experience and support them as they work with visualizations.
Tom Sawyer Perspectives platform provides these features that you can include in the resulting application.

Each application built with Tom Sawyer Perspectives can have multiple toolbars that are fully configurable and are tailored for the context in which they are used.
Mnemonics and shortcuts can be defined to activate toolbar items.
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Examples of Tom Sawyer Perspectives toolbars.
Save as Image
Print Setup
Print Preview
Open URL
Sign Out
Select
Pan
Navigate Links
Overview
Undo
Redo
Marquee Zoom
Interactive Zoom
Zoom In
Zoom Out
Zoom Fit
Layout Styles
Apply Analysis
Clear Analysis Results
Save Drawing
Load Drawing
Tom Sawyer Perspectives includes customizable dialogs for several types of user interactions:
You can also create a customizable, invokable dialog which can contain a drawing, inspector, table, tree, timeline, map, or chart view.
A context menu consists of a hierarchy of menu items that can be invoked with the selection of a node or edge, and you can choose from the prebuilt menu items that come with Tom Sawyer Perspectives, or you can use Perspectives APIs to add your own menu items.
An example application built with Tom Sawyer Perspectives showing an invokable view dialog.
Tom Sawyer Perspectives supports both web- and desktop-based applications giving you the flexibility to build and deploy powerful data analysis and visualization applications in the environments that suit your infrastructure and workflow best.
Tom Sawyer Perspectives modern web client framework makes it easier for developers to integrate and build modern applications in React, Angular, and HTML.
Tom Sawyer Perspectives React APIs offer seamless integration into React applications with the application generation tool that automatically creates template source code, folder structure, and build scripts from your project definition.
Additionally, Tom Sawyer Perspectives Web Components encapsulates view components as extended and customizable HTML tags providing developers the freedom to build Tom Sawyer Perspectives applications using the web framework of their choice.
Tom Sawyer Perspectives desktop libraries provide the building blocks for developers to easily create applications in Java Swing and .NET.
For even more configurability, Tom Sawyer Perspectives supports JavaScript functions to invoke commands in your web application, such as Layout, ActivateTool, RunAnalyzer, OpenHtmlDialog, and many more.
JavaScript callback functions are supported, and you can use JavaScript functions when developing a web application in pure HTML or JavaScript, or when using Dojo, JQuery, Ext-JS, or another JavaScript framework to host Tom Sawyer Perspectives data visualizations.
In addition, React-based APIs support customers in either JavaScript or TypeScript environments.
You can find additional details in the documentation.
When incorporating visualization into your existing application, you can use CSS to style your visualization components.
Inherit from your application CSS to adjust content size, spacing, color, and font or add decorative features, such as animations or split content into columns.
Graph visualization tools and software vary by use case, scale, and customization requirements. Some are designed for lightweight front-end visualizations, while others focus on graph database exploration, network analysis, or enterprise application development. Enterprise graph visualization software typically supports advanced graph layout, interactive exploration, customizable rendering, and integration with complex data environments.
To visualize a graph, load or connect data that defines entities and their relationships, choose an appropriate graph layout, and configure the appearance of nodes and edges based on data attributes. Tom Sawyer Perspectives supports advanced graph layout, interactive exploration, and customization capabilities for building graph visualization applications.
A chart displays quantitative values through elements such as bars, lines, or pie slices, often organized by axes or categories. A graph represents relationships between entities as nodes and edges. Charts are useful for comparing values, while graphs help users understand how entities are connected.
Yes. Graph visualization software can connect to graph databases and other enterprise data sources. Tom Sawyer Perspectives provides data integrators that allow developers to connect, visualize, and analyze data from supported graph databases, relational databases, and other data environments.
Common graph visualization techniques include force-directed layouts for identifying clusters, hierarchical layouts for trees and reporting structures, orthogonal layouts for network diagrams, circular layouts for cyclic dependencies, and swimlane layouts for categorizing graph elements. Each technique highlights a different structural aspect of connected data.
Use graph visualization when the most important insight depends on relationships, dependencies, paths, or network structures rather than isolated values. Traditional charts are useful for comparing quantities, while graph visualization helps users understand how entities connect, influence one another, or form larger patterns across complex systems.
Graph visualization makes connected data visible and understandable through nodes, edges, layouts, and interactive views. Graph analytics applies algorithms to graph data to identify patterns, paths, centrality, communities, influence, or risk. The two capabilities often work together: graph analytics identifies important structures, while graph visualization helps users interpret and explore the results.
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All rights reserved. | Terms of Use | Privacy Policy | AI Summary
Copyright © 2026 Tom Sawyer Software. All rights reserved. | Terms of Use | Privacy Policy | AI Summary