Graph visualization library in JavaScript

javascript

graph-visualization

javascript-libraries

interactive-visualizations

byAnton Shumikhin·Feb 9, 2025

// Vis.js quick graph, the node whisperer:
const nodes = new vis.DataSet([{id: 1, label: 'Node 1'}, {id: 2, label: 'Node 2'}]);
const edges = new vis.DataSet([{from: 1, to: 2}]);
const network = new vis.Network(document.getElementById('vis-graph'), {nodes, edges}, {});

// D3.js, aka the DOMinator...creating a simple force-directed graph:
const links = [{source: 'Node 1', target: 'Node 2'}];
const nodes = [{id: 'Node 1'}, {id: 'Node 2'}];
const svg = d3.select('svg'), width = +svg.attr('width'), height = +svg.attr('height');
const simulation = d3.forceSimulation(nodes)
  .force('link', d3.forceLink(links).id(d => d.id))
  .force('charge', d3.forceManyBody())
  .force('center', d3.forceCenter(width / 2, height / 2));

svg.append('g').selectAll('line').data(links)
  .enter().append('line');
svg.append('g').selectAll('circle').data(nodes)
  .enter().append('circle').attr('r', 5);

For rapid graph setup, Vis.js and D3.js fit the bill. These examples demonstrate how to create a basic graph using Vis.js and a simple force-directed graph in D3.js. Both are condensed yet powerful solutions for your immediate use.

Decoding JavaScript libraries for graph visualization

Flexibility and interactivity in graphics: D3.js

D3.js coupled with jQuery escalates your interactive experiences enormously. It’s a powerhouse for interactive visualizations, governing the DOM based on your data with utter ease.

Handling complex diagrams: GoJS

GoJS is your solution for interactive diagrams where performance is critical. Best suited for business applications, it seamlessly renders complex diagrams maintaining quality and performance.

Simplifying graphing: Sigma.js & GraphDracula

Sigma.js and GraphDracula are your go-to options for simple graphs. Quick to implement, they shine in lighter use cases. While GraphDracula excels in directed graphs with SVG rendering, Sigma.js offers a general-purpose solution.

Comprehensive graphing solution: yFiles for HTML

yFiles for HTML is a scalable, robust library armed with advanced graph analysis algorithms. For complex projects needing a sophisticated understanding of large-scale data, yFiles is your answer.

Graph analysis and customization: Cytoscape.js

Cytoscape.js combines powerful graph analysis with a wide range of customization options. It's a versatile pick when your project requires highly-tailored visualization.

Targeted solutions: Library preferences for distinct needs

Interactive network analysis: Cytoscape.js

With a penchant for dissecting biological networks and interactive data, Cytoscape.js adds a scientific edge to your graph analysis. It's designed with a highly-intuitive API that boosts chainability and event handling.

Data-driven documents: D3.js

If you need to manipulate documents based on data, turn to D3.js. By interacting directly with the DOM, this library is pivotal for data-driven applications requiring high interactivity and fine details.

3D visualizations: Three.js

To venture into the third dimension, Three.js is your trusted ally. If your project nurtures a dynamic, 3D data exploration, this library should be your calling.

Defining complexities: Refining selection

Powerful algorithm support: yFiles

yFiles presents an array of automated graph layout algorithms. It's brilliant for projects that require a sophisticated understanding of data, far beyond the visuals.

User customization and control: JavaScript InfoVis Toolkit

JavaScript InfoVis Toolkit is the king of user customization & interactive control. If you are looking to alter styles, embed event listeners, or interact with nodes on the fly, this is your library.

Engaging and lightweight: sigma.js

For a lightweight graph manipulation with easy-to-use dragging functionality, sigma.js works wonders. It adds a touch of tactile engagement to your interactives, making for a more user-friendly experience.

Visualization

When it comes to graphing libraries in JavaScript, each shines in its own unique way. Their performance is hinged on their functionality, flexibility, efficiency and feature set.

Choose wisely:

D3.js       ☆☆☆☆☆ - The powerhouse: comprehensive, flexible, but requires learning.
Sigma.js    ☆☆☆ - The lightweight: easy to use for simple graphs.
Cytoscape.js ☆☆☆☆ - The analyzer: perfect for biological-focused graphs, extensive features.
Vis.js      ☆☆☆ - The compact: easy and rapid graph set-up.
Three.js    ☆☆☆☆ - The innovator: for 3D graph visualization, ultra-dynamic.

Each library carries its virtues. Pick one that aligns best with your project's needs.

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