SciChart JS is a high‑performance JavaScript chart and graph library designed to power advanced visualizations with WebAssembly and GPU acceleration. The library is engineered for scale, enabling developers to build real-time dashboards, streaming charts, scientific visualizations, financial tools, and mission‑critical applications requiring speed, flexibility, and reliability. Unlike typical chart libraries, SciChart JS offers Visual Xccelerator™, an acceleration engine that enables rendering of millions of data points at 60 FPS, keeping dashboards running continuously without crashing. SciChart JS v4 introduces a wide range of chart types including line, column, bar, waterfall, impulse, error bars, vector fields, contour maps, heatmaps, arc heatmaps, polar charts, radar charts, and 3D visualizations such as surface meshes and point clouds. It supports React, Angular, Vue, and Vanilla JavaScript with production‑ready templates, TypeScript support, IntelliSense, and AI‑assisted support. The platform is built for mission‑critical environments such as real‑time telemetry, high‑frequency trading, industrial monitoring, scientific research, and cross‑platform applications. The library provides advanced customization, allowing developers to control axes, ticks, gridlines, cursors, legends, gestures, rendering order, and annotations with pixel‑level precision. Developers can stream data from WebSockets or REST APIs, sync multiple charts, overlay custom HTML/SVG elements, apply themes, and manipulate every component through a deeply customizable API. SciChart JS supports unlimited axes, per‑point metadata, per‑point customization via the PaletteProvider API, and full control over interactivity including zooming, panning, linked charts, event callbacks, and custom chart modifiers. SciChart JS is built for scalability and long-term reliability, enabling applications to handle tens of millions of data points running for days without frame drops or browser crashes. Deployment options include browser, Electron, Node.js rendering, and cross‑platform applications using the same engine. Developers benefit from extensive examples, documentation, tutorials, AI chat assistance, and direct engineering support.

Features

• High‑Performance Rendering: WebAssembly-powered engine with GPU acceleration renders millions of data points at 60 FPS for real‑time charts.
• Advanced Chart Types: Provides line, column, bar, waterfall, impulse, error bars, contour maps, heatmaps, arc heatmaps, polar and radar charts, plus 3D surface meshes, point clouds, and 3D column charts.
• Visual Xccelerator™: Supports zero frame drops for real-time dashboards, even with extremely large datasets.
• Cross-Framework Support: Ready-to-use templates for React, Angular, Vue, and Vanilla JS with TypeScript and IntelliSense.
• Advanced Customization: Full control of axes, ticks, gridlines, cursors, legends, gestures, overlays, annotation tools, styles, and themes.
• Chart Modifier API: Extend interactions, create custom gestures, sync charts, or animate styles, data, and transitions.
• Per‑Point Customization: PaletteProvider API for dynamic coloring, styling, and metadata-driven visualization.
• Unlimited Axes: Support for multiple X/Y axes with flexible placement for complex and scientific use cases.
• Real‑Time Data Streaming: Easily stream data from WebSockets or REST APIs.
• Production-Ready Interactivity: Includes zoom, pan, rubber-band zoom, crosshairs, tooltips, legends, events, and JSON state serialization.
• Responsive Dashboard Tools: Build high‑performance dashboards with layout control, overlays, and event-driven interactions.
• Deployment Flexibility: Compatible with browser, Electron, Node.js rendering, and cross‑platform apps.

Benefits

• Engineered for Scale: Designed for real-time telemetry, high-frequency trading, scientific environments, and 24/7 dashboards.
• High Reliability: Dashboards with tens of millions of data points can run for days without freezing or crashing.
• Fast Onboarding: Production-ready templates and tutorials enable setup in under two minutes.
• Flexible Architecture: Suitable for both simple visualizations and complex enterprise-grade analytics systems.
• Deep Customization: Allows pixel-level control of every UI and rendering element.
• Broad Ecosystem Support: Works seamlessly across frameworks with TypeScript, IntelliSense, and direct engineering support.
• AI-Assisted Support: SciChart AI helps resolve common issues instantly, backed by real engineers for advanced cases.
• Extensive User Validation: Over 500+ five-star reviews on Reviews.io, Capterra, and G2 demonstrate product maturity and trust.