visx
visx
Build data visualizations with React using visx (Airbnb's React + D3 library).
Status: Starter
Patterns will evolve with use.
When to Use
- Custom charts beyond basic chart libraries
- Interactive data exploration
- Dashboards with specific design requirements
- When you need D3 power with React patterns
Why visx over other options
| Library | Good for |
|---|---|
| visx | Custom, interactive, design-specific charts |
| Recharts | Quick standard charts |
| Chart.js | Simple, canvas-based |
| D3 direct | Maximum control, non-React |
visx = D3 primitives as React components. Full control, React-friendly.
Setup
# Core
pnpm add @visx/group @visx/scale @visx/shape @visx/axis @visx/grid
# Common additions
pnpm add @visx/tooltip @visx/responsive @visx/gradient @visx/curve
# All of visx (larger bundle)
pnpm add @visx/visx
Basic Patterns
Line Chart
import { LinePath } from '@visx/shape'
import { scaleLinear, scaleTime } from '@visx/scale'
import { AxisBottom, AxisLeft } from '@visx/axis'
import { Group } from '@visx/group'
interface DataPoint {
date: Date
value: number
}
const data: DataPoint[] = [
{ date: new Date('2024-01'), value: 10 },
{ date: new Date('2024-02'), value: 25 },
{ date: new Date('2024-03'), value: 15 },
]
const width = 600
const height = 400
const margin = { top: 20, right: 20, bottom: 40, left: 40 }
const innerWidth = width - margin.left - margin.right
const innerHeight = height - margin.top - margin.bottom
const xScale = scaleTime({
domain: [Math.min(...data.map(d => d.date)), Math.max(...data.map(d => d.date))],
range: [0, innerWidth],
})
const yScale = scaleLinear({
domain: [0, Math.max(...data.map(d => d.value))],
range: [innerHeight, 0],
})
export function LineChart() {
return (
<svg width={width} height={height}>
<Group left={margin.left} top={margin.top}>
<AxisBottom scale={xScale} top={innerHeight} />
<AxisLeft scale={yScale} />
<LinePath
data={data}
x={d => xScale(d.date)}
y={d => yScale(d.value)}
stroke="currentColor"
strokeWidth={2}
/>
</Group>
</svg>
)
}
Bar Chart
import { Bar } from '@visx/shape'
import { scaleBand, scaleLinear } from '@visx/scale'
import { Group } from '@visx/group'
interface DataPoint {
label: string
value: number
}
const data: DataPoint[] = [
{ label: 'A', value: 30 },
{ label: 'B', value: 80 },
{ label: 'C', value: 45 },
]
const xScale = scaleBand({
domain: data.map(d => d.label),
range: [0, innerWidth],
padding: 0.2,
})
const yScale = scaleLinear({
domain: [0, Math.max(...data.map(d => d.value))],
range: [innerHeight, 0],
})
export function BarChart() {
return (
<svg width={width} height={height}>
<Group left={margin.left} top={margin.top}>
{data.map(d => (
<Bar
key={d.label}
x={xScale(d.label)}
y={yScale(d.value)}
width={xScale.bandwidth()}
height={innerHeight - yScale(d.value)}
fill="currentColor"
/>
))}
</Group>
</svg>
)
}
Responsive Container
import { ParentSize } from '@visx/responsive'
export function ResponsiveChart() {
return (
<ParentSize>
{({ width, height }) => (
<LineChart width={width} height={height} />
)}
</ParentSize>
)
}
Tooltip
import { useTooltip, TooltipWithBounds } from '@visx/tooltip'
import { localPoint } from '@visx/event'
const { showTooltip, hideTooltip, tooltipData, tooltipLeft, tooltipTop } = useTooltip()
// In your component:
<circle
onMouseMove={(event) => {
const point = localPoint(event)
showTooltip({
tooltipData: dataPoint,
tooltipLeft: point.x,
tooltipTop: point.y,
})
}}
onMouseLeave={hideTooltip}
/>
{tooltipData && (
<TooltipWithBounds left={tooltipLeft} top={tooltipTop}>
{tooltipData.value}
</TooltipWithBounds>
)}
Styling with Tailwind
visx renders SVG - style with className or inline styles:
<LinePath
stroke="hsl(var(--primary))"
className="transition-all duration-200"
/>
Reference
- visx docs: https://airbnb.io/visx/
- visx gallery: https://airbnb.io/visx/gallery
- D3 scales: https://github.com/d3/d3-scale
TODO
- First real chart to establish patterns
- Add area chart pattern
- Add pie/donut pattern
- Add animation patterns
- Integrate with tRPC data fetching
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