Charts
A chart grammar you don't have to outgrow.
TanStack Charts 0.3.1 is on npm. A compact React line consumer is 16.48 KiB gzip; its framework-neutral scene is 8.12 KiB.
const releases = productSignals.filter(
(row) => row.product === 'Form' || row.product === 'Store',
)
export const kineticLayeredChart = defineChart({
marks: [
areaY(productSignals, {
id: 'hero-area',
x: 'month',
y1: 'previous',
y2: 'forecast',
key: 'id',
fill: '#3aa3c4',
fillOpacity: 0.24,
curve: d3Curve(curveMonotoneX),
}),
ruleY([70], {
id: 'hero-rule',
stroke: '#e06e49',
strokeWidth: 2,
strokeDasharray: '7 7',
}),
lineY(productSignals, {
id: 'hero-line',
x: 'month',
y: 'value',
key: 'id',
stroke: '#61adbf',
strokeWidth: 3,
curve: d3Curve(curveMonotoneX),
}),
dot(productSignals, {
id: 'hero-points',
x: 'month',
y: 'value',
z: 'segment',
key: 'id',
stroke: '#9cd5e2',
strokeWidth: 2,
r: 4,
}),
text(releases, {
id: 'hero-labels',
x: 'month',
y: 'value',
text: 'product',
key: 'id',
fill: '#ffffff',
fontSize: 11,
fontWeight: 650,
dy: -18,
}),
],
x: {
scale: scaleLinear().domain([1, 8]),
axis: { ticks: { count: 4, format: (month) => `M${month}` } },
},
y: {
scale: scaleLinear().domain([30, 100]),
axis: { ticks: { count: 4 } },
grid: true,
},
theme: kineticDarkTheme,
})Examples, not presets.
Browse all examplesMake it look like your product.
Same data and scales. CSS variables, themes, mark props, custom tooltips, or your own renderer control the rest.
Editorial
Product
Terminal
16.48 KiB for a compact React line.
The framework-neutral scene is 8.12 KiB and retains neither D3 nor InternMap. For an apples-to-apples comparison, the pinned 12-case suite measures full cold-page browser bundles across line, bar, area, and scatter × basic, interactive, and advanced; TanStack spans 26.58–32.08 KiB gzip.
Gzip bundle comparison
Controlled cold-page ranges and main-export snapshots*
- TanStack Charts26.58–32.08 KiB
- visx*49 KB
- Chart.js44.70–58.21 KiB
- Lightweight Charts*60 KB
- Vega-Lite*87 KB
- Observable Plot83.34–91.94 KiB
- D3*90 KB
- Highcharts*100 KB
- Victory*105 KB
- Nivo*143 KB
- Recharts153.08–168.27 KiB
- Apache ECharts153.10–173.18 KiB
- ApexCharts*164 KB
- Plotly.js*~250 kB partial
- AG Charts*367 KB
Controlled ranges use the tracked v0.3.1 baseline of full cold-page bundles with pinned package versions.
* Main-export snapshots use different methodology; modular imports can be smaller. visx is @visx/xychart. Vega-Lite excludes the Vega runtime. Plotly.js shows its partial build; the full build is ~3.6 MB min+gzip. Sources and caveats.
Layer marks over shared scales.
Area, rules, lines, points, and labels share one coordinate system. The definition beside the chart is the whole composition.
Weekly activation rate
Jan–May 2026 · illustrative product telemetry
78%
above 70% goal
import { curveMonotoneX, scaleLinear, scaleUtc } from 'd3'
import {
areaY,
d3Curve,
defineChart,
dot,
lineY,
ruleY,
text,
} from '@tanstack/charts'
import { releases, weeks } from './activation-data'
import { activationTheme } from './activation-theme'
const monthDay = new Intl.DateTimeFormat('en-US', {
day: 'numeric',
month: 'short',
timeZone: 'UTC',
})
export const activationChart = defineChart({
marks: [
areaY(weeks, {
id: 'activation-range',
x: 'date',
y1: 'expectedLow',
y2: 'expectedHigh',
key: 'id',
fill: '#3aa3c4',
fillOpacity: 0.2,
curve: d3Curve(curveMonotoneX),
}),
ruleY([70], {
id: 'activation-goal',
stroke: '#e06e49',
strokeOpacity: 0.95,
strokeWidth: 2,
strokeDasharray: '7 7',
}),
lineY(weeks, {
id: 'activation-line',
x: 'date',
y: 'activation',
key: 'id',
stroke: '#61adbf',
strokeWidth: 3.25,
points: true,
curve: d3Curve(curveMonotoneX),
}),
dot(releases, {
id: 'activation-events',
x: 'date',
y: 'activation',
key: 'id',
r: 6,
fill: '#ffffff',
stroke: '#3aa3c4',
strokeWidth: 3,
}),
text(releases, {
id: 'activation-event-labels',
x: 'date',
y: 'activation',
text: 'label',
key: 'id',
fill: '#ffffff',
fontSize: 12,
fontWeight: 650,
dy: -21,
}),
],
x: {
scale: scaleUtc().domain([weeks[0]!.date, weeks.at(-1)!.date]),
axis: {
label: 'Week ending',
ticks: { format: (value) => monthDay.format(value) },
},
grid: false,
},
y: {
scale: scaleLinear().domain([40, 82]),
axis: {
label: 'Activation rate (%)',
ticks: { count: 5, format: (value) => `${Math.round(value)}%` },
},
grid: true,
},
theme: activationTheme,
})TanStack Charts builds on Leland Wilkinson's grammar of graphics and the work of ggplot2, Vega-Lite, and Observable Plot. Its marks-and-channels API is most directly inspired by Observable Plot, but the runtime is an independent implementation.
Choose the chart by the question you're answering.
All 100 examplesTime
How did it change over time?
Compare
How do values compare?
Composition
What makes up the total?
Distribution
How are values distributed?
Relationship
How do variables relate?
Range
What is the range or duration?
Connection
How is it connected?
Location
How does it vary by location?
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