20 Must-Know JavaScript Libraries for Data Visualization

Here are 20 JavaScript libraries for data visualization in 2025, categorized into Charting, Mapping, 3D, and Graph/Network visualization

Charting Libraries (For bar, line, pie, and other standard charts)

Chart.js – Simple, flexible, and w…


This content originally appeared on DEV Community and was authored by Muhammad Usman

Here are 20 JavaScript libraries for data visualization in 2025, categorized into Charting, Mapping, 3D, and Graph/Network visualization

Charting Libraries (For bar, line, pie, and other standard charts)

  • Chart.js – Simple, flexible, and widely used.
  • D3.js – Powerful, custom, and interactive visualizations.
  • Recharts – React-based, easy-to-use chart components.
  • Apache ECharts – Scalable, fast, and ideal for big data.
  • Highcharts – Feature-rich, supports real-time updates.

Mapping Libraries (For interactive maps and geospatial data visualization)

3D Visualization Libraries (For immersive, WebGL-based 3D graphics)

  • Three.js – The most popular library for 3D rendering.
  • Babylon.js – Advanced game engine and visualization.
  • A-Frame – VR and 3D visualization in HTML.
  • X3DOM – Integrates 3D graphics into web pages.
  • PlayCanvas – WebGL-powered interactive 3D content.

Graph & Network Visualization Libraries (For social networks, relationships, and connections)

  • Cytoscape.js – Ideal for graph theory and networks.
  • Sigma.js – Lightweight, great for large-scale graphs.
  • Vis.js – Handles networks, timelines, and hierarchical data.
  • Graphology – Robust library for network analysis.
  • Algebra.js – Handles mathematical graph structures.

This selection covers charts, maps, 3D visualizations, and network graphs, ensuring a solid range of visualization needs.

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This content originally appeared on DEV Community and was authored by Muhammad Usman


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