SciChart React Charts is a high‑performance charting library built for demanding, mission‑critical React applications. Designed for systems where performance is a requirement—not just a feature—it supports real‑time telemetry, high‑frequency trading, industrial monitoring, medical analytics, scientific visualization, and 24/7 operational dashboards. Powered by WebAssembly‑based Visual Xccelerator™ and GPU acceleration, SciChart React Charts renders millions of data points at a smooth 60 FPS with zero frame drops, allowing dashboards to stay responsive and stable even after days of continuous use. The library supports WebGL and WebAssembly hardware acceleration, enabling React applications to handle millions of data points and hundreds of thousands of updates per second. It provides over 100 ready-to-use React chart examples linked to CodeSandbox and GitHub, covering both 2D and 3D chart types suitable for scientific, medical, financial, aerospace, motorsport, and engineering applications. Supported chart types include band, bubble, candlestick, column, contour, heatmap, text cloud, spline, stacked charts, radar, polar, 3D surface mesh, 3D point cloud, 3D column charts, and more. SciChart React Charts extends SciChart.js with advanced interaction capabilities such as callbacks on hover, series selection, data-point selection, and data updates via mouse interaction. The library includes full render control, theme-level customization down to the pixel, advanced annotations, unlimited mixed axes (linear, log, date, category), multi-chart linking, zoom/pan synchronisation, built-in hit-testing APIs, gauges, vector fields, segment series, treemaps, and high-resolution GeoJSON choropleth maps with 500k+ triangles. SciChart v4 further expands possibilities with polar charts, radar charts, arc heatmaps, sunburst charts, statistical box/triangle/polygon charts, vector fields, segment overlays, and more. Designed for production environments, it integrates seamlessly with TypeScript or JavaScript, enabling teams to build fast, interactive, scalable dashboards. Users get access to extensive documentation, code samples, responsive engineer-backed support, and AI-powered assistance via SciChart GPT to accelerate development and overcome technical hurdles.

Features

• High‑Performance Rendering: WebGL and WebAssembly acceleration handles millions of data points at 60 FPS without frame drops.
• Large Dataset Support: Enables dashboards with millions of points and hundreds of thousands of updates per second.
• Extensive Chart Types: Includes 2D and 3D charts such as band, bubble, candlestick, contour, heatmap, mountain, OHLC, spline, stacked charts, text cloud, polar, radar, gauges, treemaps, and 3D surface/point cloud/column charts.
• React‑Native Integration: Fully React‑optimized API with TypeScript and JavaScript support.
• Over 100 Examples: Each linked to CodeSandbox and GitHub for instant use.
• Advanced Interactivity: Series hover, selection, per-point events, linked charts, zoom, pan, crosshairs, and precision hit-testing.
• Unlimited Mixed Axes: Linear, log, date, and category axes with flexible custom layouts.
• Deep Customization: Complete pixel-level theming, annotations, labels, custom gestures, and full render control.
• v4 Enhancements: Polar charts, arc heatmaps, radar charts, sunburst, box/triangle/polygon charts, vector fields, GeoJSON maps (500k+ triangles).
• Production-Ready Tools: JSON state serialization, low memory footprint, fast startup, and multi-chart dashboards.
• AI‑Powered Support: SciChart GPT and engineer-backed customer support with extensive documentation.

Benefits

• Mission‑Critical Performance: Built for high-frequency trading, real-time telemetry, scientific and industrial monitoring.
• No Lag, No Freezing: Maintains smooth 60 FPS even in dashboards running continuously for days.
• Faster Development: Over 100 ready-to-use examples help build React charts in minutes.
• Scalable Architecture: Supports large datasets, complex dashboards, multi-chart layouts, and 3D rendering.
• Precision Control: Offers per-point metadata, full customization, and pixel-level styling.
• Enterprise‑Grade Reliability: WebAssembly engine ensures stability in long-running, data-intensive applications.
• Developer Productivity: AI support and responsive engineers help quickly resolve roadblocks.