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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. Thanks for reading to the end — you’re awesome!
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.
Thanks for reading to the end — you’re awesome!
