---

name: scichart-engine description: High-performance scientific charting and data analysis using SciChart Engine (WebGL).

SciChart Engine Skill

This skill allows agents to integrate and manage the SciChart Engine, a high-performance WebGL-based charting library for scientific and analytical applications.

Quick Start

To initialize a chart in a DOM element:

import { createChart } from 'scichart-engine';

const chart = createChart({
  container: document.getElementById('chart-id'),
  xAxis: { label: 'Time (s)', auto: true },
  yAxis: { label: 'Value', auto: true },
  theme: 'midnight',
  // Layout configuration (optional)
  layout: {
    legend: {
      highlightOnHover: false,   // Default: no color change on hover
      bringToFrontOnHover: true, // Default: bring series to front
    },
  },
});

// Enable cursor with crosshair
chart.enableCursor({
  enabled: true,
  crosshair: true,
  snap: true,
  valueDisplayMode: 'corner',     // 'disabled' | 'floating' | 'corner'
  cornerPosition: 'top-right',    // Where to show values in 'corner' mode
  lineStyle: 'dashed',            // 'solid' | 'dashed' | 'dotted'
});

Core Concepts

• WebGL Rendering: Optimized for 10^5+ points.
• Series: Data is added as series (line, scatter, boxplot, etc.).
• Cursor: Native cursor with crosshair and configurable value display.
• Plugins: Extend functionality (analysis, tools, export, ML).
• Themes: Midnight, Electrochemistry, Light, Dark.
• Layout: Fine-grained control over legend positioning and behavior.

Guidelines for Agents

1. Memory Management: Always call chart.destroy() when the component unmounts.
2. Data Performance: Use Float32Array for large datasets.
3. Plugins: Only load necessary plugins to keep bundles small. Use chart.use(PluginName(config)).
4. Cursor: Use native enableCursor() for crosshairs and tooltips (not a plugin).
5. Layout: Configure legend behavior via layout option in createChart().

Cursor Configuration

The native cursor supports three value display modes:

// Floating mode (default) - tooltip follows cursor
chart.enableCursor({ crosshair: true, valueDisplayMode: 'floating' });

// Corner mode - fixed position box
chart.enableCursor({
  crosshair: true,
  valueDisplayMode: 'corner',
  cornerPosition: 'top-right', // 'top-left' | 'top-right' | 'bottom-left' | 'bottom-right'
});

// Disabled mode - crosshair lines only, no values
chart.enableCursor({ crosshair: true, valueDisplayMode: 'disabled' });

Synthesis of Possibilities

• High-Performance 2D/3D Rendering: WebGL/WebGPU core handling millions of points.
• Rich Series Library: Line, Scatter, Area, Band, Candlestick, BoxPlot, Waterfall, Ternary, Heatmap, Gauges, Sankey.
• Real-time Processing: Fast data appending, rolling windows, and streaming plugins.
• Scientific Analysis: Peaks, Cycles, FFT, Regression, Smoothing, Filters, Integration, Derivatives.
• Interactive Interrogation: Delta measurement, Peak integration, Lasso/Box selection, Crosshairs.
• Advanced Export: High-res Snapshots (4K/8K), Video recording, MATLAB/Excel/JSON export.
• Native LaTeX: Professional mathematical notation for labels and annotations.
• UI Customization: Glassmorphism menus, dynamic themes, responsive layouts.

Comprehensive Guides

• API Core Summary
• Series Types & Data Structures
• Layout & Positioning Guide
• Plugins & Extensibility Guide
• Plugin Architecture & Lifecycle
• Advanced Features (Multi-Axis, Sync)
• 3D Visualization Library
• Scientific Specializations (CV, Broken Axis)
• Analysis Intelligence (Patterns, Forecasting)
• ROI Selection & Anomaly Detection
• Streaming & Performance Optimization
• Accessibility & Localization Guide
• Theming & Customization Guide

Practical Examples

• Basic Chart Setup
• React Component Integration (Imperative)
• Declarative React (SciChart Component)
• Advanced Analysis (FFT & Peaks)
• Real-time Streaming
• Layout Configuration

Agent Implementation Checklist

When tasked with adding a chart to a project:

1. Container: Ensure a <div> with fixed dimensions exists in the DOM.
2. Initialization: Use createChart.
3. Cursor: Configure with enableCursor() - choose value display mode.
4. Layout: Configure legend behavior via layout option as needed.
5. Plugins: Identify if specialized tools (measurement, analysis) are required.
6. Data Processing: Convert source data to Float32Array or Float64Array.
7. Visuals: Set the theme and series styles according to UX requirements.
8. Cleanup: Verify the destroy() call is wired to the component lifecycle.

Key Defaults (v1.10.4)

Feature	Default Behavior
Legend hover color change	Disabled (highlightOnHover: false)
Legend hover bring-to-front	Enabled (bringToFrontOnHover: true)
Cursor value display	Floating (valueDisplayMode: 'floating')
Crosshair line style	Dashed (lineStyle: 'dashed')