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 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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