A high-performance, WebGL-powered scientific charting engine built for precision, speed, and deep interactivity. Optimized for electrochemical and scientific data visualization.
- 🚀 High Performance: Render millions of data points at 60 FPS using a specialized raw WebGL renderer.
- 📈 Advanced Analysis: Built-in peak detection, integration, baseline correction, and customizable curve fitting (linear/poly/exp).
- 📊 Specialized Series: Support for Lines, Scatter (SDF symbols), Step charts, Band series, Area charts, Candlesticks (OHLC), and Stacked Charts.
↕️ Multi-Axis Engine: Independent scales and units with axis-specific scrolling and zooming.- 📏 Professional Tooling: Real-time Statistics panel, Annotations (Lines/Shapes/Text), and high-fidelity SVG/PNG export.
- 🎨 Color Schemes: 5 professional palettes with 20 colors each for multi-series charts, auto-assigned when colors aren't specified.
- ✨ Interactive Legend: Hover over series in legend to bring to front and highlight with distinct color.
- 🔌 Extensible: Plugin System with lifecycle hooks for custom drawing and data analysis.
- ⚛️ Framework First: Native React support via hooks and high-level components.
- 🎨 Dynamic Theming: Sleek built-in themes (Light/Midnight) with support for custom CSS-based skins.
- 🏗️ Modular Core: Built on a modern, decoupled architecture for maximum extendability.
npm install velo-plot
# or
pnpm add velo-plotimport { SciPlot } from 'velo-plot/react';
function App() {
const data = {
x: new Float32Array([0, 1, 2, 3]),
y: new Float32Array([10, 20, 15, 25])
};
return (
<div style={{ width: '800px', height: '400px' }}>
<SciPlot
series={[{ id: 's1', ...data, color: '#00f2ff' }]}
xAxis={{ label: 'Time (s)' }}
yAxis={{ label: 'Voltage (V)' }}
showControls
/>
</div>
);
}import { createChart } from 'velo-plot';
const chart = createChart({
container: document.getElementById('chart-container'),
theme: 'dark',
colorScheme: 'vibrant', // Auto-assigns colors from vibrant palette
showLegend: true
});
// Series without explicit colors get auto-assigned from the scheme
chart.addSeries({
id: 'signal1',
type: 'line',
data: { x: [...], y: [...] }
});
chart.addSeries({
id: 'signal2',
type: 'line',
data: { x: [...], y: [...] }
});
// Change color scheme at runtime
chart.setColorScheme('ocean');// Create chart with 20+ series - colors auto-cycle
const chart = createChart({
container: document.getElementById('chart'),
colorScheme: 'neon', // 'vibrant', 'pastel', 'neon', 'earth', 'ocean'
showLegend: true
});
// Add multiple series - colors assigned automatically
for (let i = 0; i < 20; i++) {
chart.addSeries({
id: `series${i}`,
name: `Dataset ${i + 1}`,
type: 'line',
data: generateData(i)
});
}
// Hover over series in legend → brings to front + highlights! ✨Visit Sci Plot Docs for:
MIT © jigonzalez930209