20 Must-Know JavaScript Libraries for Data Visualization

categorized into Charting, Mapping, 3D, and Graph/Network visualization

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

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JavaScript Libraries for Data 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)

• Leaflet — Lightweight and ideal for basic maps.
• Mapbox GL JS — WebGL-powered, highly customizable.
• Google Maps JavaScript API — Well-integrated with location services.
• OpenLayers — Robust mapping with vector and raster layers.
• Deck.gl — High-performance 2D & 3D 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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