composable-svelte-charts

majiayu000's avatarfrom majiayu000

Data visualization and chart components for Composable Svelte. Use when creating charts, graphs, or data visualizations. Covers chart types (scatter, line, bar, area, histogram), data binding, state-driven updates, interactive features (zoom, brush, tooltips), and responsive design from @composable-svelte/charts package built with Observable Plot and D3.

⭐0stars🔀0forks📁View on GitHub🕐Updated Jan 5, 2026

When & Why to Use This Skill

Composable Svelte Charts is a high-performance data visualization library designed for the Composable Svelte ecosystem. Built upon Observable Plot and D3, it enables the creation of state-driven, interactive, and responsive charts including scatter plots, line graphs, bar charts, and histograms. It features advanced capabilities such as zooming, brush selection, and automatic tooltips, making it an essential tool for developers building data-heavy web applications.

Use Cases

  • Building interactive analytics dashboards with synchronized state management in Svelte.
  • Visualizing complex datasets using scatter plots and histograms for data exploration and discovery.
  • Implementing responsive time-series line charts that adapt seamlessly to mobile and desktop views.
  • Creating data-driven interfaces with interactive features like range selection (brushing) and animated transitions.
  • Developing accessible data visualizations with built-in ARIA support and keyboard navigation.
namecomposable-svelte-charts
descriptionData visualization and chart components for Composable Svelte. Use when creating charts, graphs, or data visualizations. Covers chart types (scatter, line, bar, area, histogram), data binding, state-driven updates, interactive features (zoom, brush, tooltips), and responsive design from @composable-svelte/charts package built with Observable Plot and D3.

Composable Svelte Charts

Interactive data visualization components built with Observable Plot and D3.


PACKAGE OVERVIEW

Package: @composable-svelte/charts

Purpose: State-driven interactive charts and data visualizations.

Technology Stack:

  • Observable Plot: Declarative visualization grammar from Observable
  • D3: Low-level utilities for scales, shapes, and interactions
  • Motion One: Smooth transitions and animations

Chart Types:

  • Scatter plots
  • Line charts
  • Bar charts
  • Area charts
  • Histograms

Interactive Features:

  • Zoom & pan
  • Brush selection
  • Tooltips (automatic)
  • Range selection
  • Responsive sizing

State Management: All charts use pure reducers with type-safe actions following Composable Architecture patterns.


QUICK START

import { createStore } from '@composable-svelte/core';
import { Chart, chartReducer, createInitialChartState } from '@composable-svelte/charts';

// Sample data
const data = [
  { x: 1, y: 10, category: 'A' },
  { x: 2, y: 25, category: 'B' },
  { x: 3, y: 15, category: 'A' },
  { x: 4, y: 30, category: 'B' }
];

// Create chart store
const chartStore = createStore({
  initialState: createInitialChartState({ data }),
  reducer: chartReducer,
  dependencies: {}
});

// Render scatter plot
<Chart
  store={chartStore}
  type="scatter"
  x="x"
  y="y"
  color="category"
  width={800}
  height={400}
  enableZoom={true}
  enableTooltip={true}
/>

CHART COMPONENT

Purpose: High-level wrapper for creating charts with Observable Plot.

Props

  • store: Store<ChartState, ChartAction> - Chart store (required)
  • type: 'scatter' | 'line' | 'bar' | 'area' | 'histogram' - Chart type (default: 'scatter')
  • width: number - Chart width (optional, responsive if omitted)
  • height: number - Chart height (optional, defaults to 400px)
  • x: string | ((d) => any) - X accessor (required)
  • y: string | ((d) => any) - Y accessor (required)
  • color: string | ((d) => any) - Color accessor (optional)
  • size: number - Mark size (optional)
  • xDomain: [number, number] | 'auto' - X domain (optional)
  • yDomain: [number, number] | 'auto' - Y domain (optional)
  • enableZoom: boolean - Enable zoom/pan (default: false)
  • enableBrush: boolean - Enable brush selection (default: false)
  • enableTooltip: boolean - Enable tooltips (default: true)
  • enableAnimations: boolean - Enable transitions (default: true)
  • onSelectionChange: (selected: any[]) => void - Selection callback (optional)

Usage

<Chart
  store={chartStore}
  type="scatter"
  x="date"
  y="value"
  color={(d) => d.category}
  size={4}
  xDomain="auto"
  yDomain={[0, 100]}
  enableZoom={true}
  enableTooltip={true}
  onSelectionChange={(selected) => console.log('Selected:', selected)}
/>

CHART TYPES

Scatter Plot

Purpose: Display individual data points in 2D space.

Best for: Correlations, distributions, outliers.

<Chart
  store={chartStore}
  type="scatter"
  x="temperature"
  y="sales"
  color="region"
  size={5}
  enableZoom={true}
/>

Accessories:

  • x: X-axis position
  • y: Y-axis position
  • color: Point color (optional)
  • size: Point size (optional)

Line Chart

Purpose: Show trends over time or continuous data.

Best for: Time series, trends, comparisons.

<Chart
  store={chartStore}
  type="line"
  x="date"
  y="price"
  color="ticker"
  enableZoom={true}
/>

Notes:

  • Data should be sorted by X for proper rendering
  • Multiple series via color accessor
  • Supports missing data (gaps in line)

Bar Chart

Purpose: Compare categorical data with rectangular bars.

Best for: Category comparisons, rankings, distributions.

<Chart
  store={chartStore}
  type="bar"
  x="category"
  y="count"
  color="segment"
  enableTooltip={true}
/>

Variants:

  • Vertical bars (default)
  • Grouped bars (via color)
  • Stacked bars (via config)

Area Chart

Purpose: Line chart with filled area below.

Best for: Cumulative data, part-to-whole relationships.

<Chart
  store={chartStore}
  type="area"
  x="date"
  y="value"
  color="category"
  enableZoom={true}
/>

Notes:

  • Multiple series stack by default
  • Baseline at Y=0 unless configured

Histogram

Purpose: Distribution of numerical data into bins.

Best for: Data distributions, frequency analysis.

<Chart
  store={chartStore}
  type="histogram"
  x="value"
  enableTooltip={true}
/>

Notes:

  • Automatically bins data
  • Y-axis shows frequency count
  • Customize bins via state actions

STATE MANAGEMENT

ChartState Interface

interface ChartState<T = unknown> {
  // Data
  data: T[];                    // Original data
  filteredData: T[];             // After filters applied

  // Visualization config
  spec: PlotSpec;                // Observable Plot spec
  dimensions: {
    width: number;
    height: number;
  };

  // Selection
  selection: {
    type: 'none' | 'point' | 'range' | 'brush';
    selectedData: T[];
    selectedIndices: number[];
    brushExtent?: [[number, number], [number, number]];
    range?: [number, number];
  };

  // Zoom/pan
  transform: {
    x: number;
    y: number;
    k: number;  // scale factor
  };
  targetTransform?: ZoomTransform;  // For animated zoom

  // Animation
  isAnimating: boolean;
  transitionDuration: number;
}

ChartAction Types

type ChartAction<T = unknown> =
  // Data
  | { type: 'setData'; data: T[] }
  | { type: 'filterData'; predicate: (d: T) => boolean }
  | { type: 'clearFilters' }

  // Selection
  | { type: 'selectPoint'; data: T; index: number }
  | { type: 'selectRange'; range: [number, number] }
  | { type: 'brushStart'; position: [number, number] }
  | { type: 'brushMove'; extent: [[number, number], [number, number]] }
  | { type: 'brushEnd' }
  | { type: 'clearSelection' }

  // Zoom/pan
  | { type: 'zoom'; transform: ZoomTransform }
  | { type: 'zoomAnimated'; targetTransform: ZoomTransform }
  | { type: 'zoomProgress'; transform: ZoomTransform }
  | { type: 'zoomComplete' }
  | { type: 'resetZoom' }

  // Dimensions
  | { type: 'resize'; dimensions: { width: number; height: number } }

  // Config
  | { type: 'updateSpec'; spec: Partial<PlotSpec> };

Creating Initial State

import { createInitialChartState } from '@composable-svelte/charts';

const initialState = createInitialChartState({
  data: myData,
  dimensions: { width: 800, height: 400 },
  transitionDuration: 300
});

INTERACTIVE FEATURES

Zoom & Pan

Enable: enableZoom={true}

Controls:

  • Mouse wheel: Zoom in/out
  • Click + drag: Pan
  • Double-click: Reset zoom

Programmatic zoom:

// Zoom in
chartStore.dispatch({
  type: 'zoom',
  transform: { x: 0, y: 0, k: 2 }  // 2x zoom
});

// Reset zoom
chartStore.dispatch({ type: 'resetZoom' });

// Animated zoom
chartStore.dispatch({
  type: 'zoomAnimated',
  targetTransform: { x: 100, y: 50, k: 1.5 }
});

Brush Selection

Enable: enableBrush={true}

Controls:

  • Click + drag: Create brush
  • Drag corners: Resize brush
  • Drag center: Move brush
  • Click outside: Clear brush

Access selected data:

const selected = $chartStore.selection.selectedData;
console.log('Selected points:', selected);

Callback:

<Chart
  store={chartStore}
  enableBrush={true}
  onSelectionChange={(selected) => {
    console.log('Selected:', selected);
    // Do something with selected data
  }}
/>

Tooltips

Enable: enableTooltip={true} (default)

Behavior:

  • Hover over data points to show tooltip
  • Automatically displays data values
  • Tooltip content customizable via Observable Plot

Custom tooltips:

// Via Plot spec
const spec = {
  marks: [
    Plot.dot(data, {
      x: 'x',
      y: 'y',
      title: (d) => `${d.name}: ${d.value}` // Custom tooltip
    })
  ]
};

Point Selection

Enable: Click on points when enableBrush={false}

// Listen for point selection
$effect(() => {
  if ($chartStore.selection.type === 'point') {
    const selected = $chartStore.selection.selectedData[0];
    console.log('Selected point:', selected);
  }
});

// Programmatic selection
chartStore.dispatch({
  type: 'selectPoint',
  data: myDataPoint,
  index: 5
});

// Clear selection
chartStore.dispatch({ type: 'clearSelection' });

DATA BINDING

Static Data

const data = [
  { x: 1, y: 10 },
  { x: 2, y: 20 },
  { x: 3, y: 15 }
];

const chartStore = createStore({
  initialState: createInitialChartState({ data }),
  reducer: chartReducer,
  dependencies: {}
});

Dynamic Data Updates

// Update data
chartStore.dispatch({
  type: 'setData',
  data: newData
});

// Filter data
chartStore.dispatch({
  type: 'filterData',
  predicate: (d) => d.value > 10
});

// Clear filters
chartStore.dispatch({ type: 'clearFilters' });

Real-time Data

// Append new point
const currentData = $chartStore.data;
chartStore.dispatch({
  type: 'setData',
  data: [...currentData, newPoint]
});

// Update via Effect
Effect.run(async (dispatch) => {
  const newData = await fetchLatestData();
  dispatch({ type: 'setData', data: newData });
});

RESPONSIVE DESIGN

Auto-sizing

Omit width and height for responsive sizing:

<Chart
  store={chartStore}
  type="scatter"
  x="x"
  y="y"
/>

Chart will:

  • Use container width (100%)
  • Default height (400px)
  • Resize on window resize

Fixed Dimensions

<Chart
  store={chartStore}
  type="scatter"
  x="x"
  y="y"
  width={800}
  height={600}
/>

Container-based Sizing

<div class="chart-container">
  <Chart store={chartStore} ... />
</div>

<style>
  .chart-container {
    width: 100%;
    height: 500px;
  }
</style>

Responsive Breakpoints

let chartWidth = $state(800);

$effect(() => {
  const updateWidth = () => {
    chartWidth = window.innerWidth < 768 ? 400 : 800;
  };

  window.addEventListener('resize', updateWidth);
  updateWidth();

  return () => window.removeEventListener('resize', updateWidth);
});

<Chart store={chartStore} width={chartWidth} ... />

ACCESSIBILITY

ARIA Labels

Chart component includes:

  • role="img" - Marks as image
  • aria-label - Describes chart content
  • aria-describedby - Links to summary
<Chart
  store={chartStore}
  type="scatter"
  x="x"
  y="y"
  aria-label="Scatter plot showing relationship between X and Y"
/>

Screen Reader Summary

Auto-generated summary includes:

  • Chart type
  • Number of data points
  • Selection status
  • Filter status

Example output:

"Scatter plot showing 42 data points, 5 selected"

Keyboard Navigation

  • Tab: Focus chart
  • Arrow keys: Pan (when zoomed)
  • +/-: Zoom in/out
  • 0: Reset zoom
  • Escape: Clear selection

COMPLETE EXAMPLES

Basic Scatter Plot

<script lang="ts">
import { createStore } from '@composable-svelte/core';
import { Chart, chartReducer, createInitialChartState } from '@composable-svelte/charts';

const data = [
  { x: 10, y: 20, category: 'A' },
  { x: 15, y: 35, category: 'B' },
  { x: 20, y: 25, category: 'A' },
  { x: 25, y: 45, category: 'B' }
];

const chartStore = createStore({
  initialState: createInitialChartState({ data }),
  reducer: chartReducer,
  dependencies: {}
});
</script>

<Chart
  store={chartStore}
  type="scatter"
  x="x"
  y="y"
  color="category"
  size={6}
  width={800}
  height={400}
  enableZoom={true}
  enableTooltip={true}
/>

Time Series Line Chart

<script lang="ts">
import { createStore } from '@composable-svelte/core';
import { Chart, chartReducer, createInitialChartState } from '@composable-svelte/charts';

interface DataPoint {
  date: Date;
  value: number;
  series: string;
}

const data: DataPoint[] = [
  { date: new Date('2024-01-01'), value: 100, series: 'A' },
  { date: new Date('2024-01-02'), value: 120, series: 'A' },
  { date: new Date('2024-01-03'), value: 115, series: 'A' },
  { date: new Date('2024-01-01'), value: 80, series: 'B' },
  { date: new Date('2024-01-02'), value: 95, series: 'B' },
  { date: new Date('2024-01-03'), value: 105, series: 'B' }
];

const chartStore = createStore({
  initialState: createInitialChartState({ data }),
  reducer: chartReducer,
  dependencies: {}
});
</script>

<Chart
  store={chartStore}
  type="line"
  x="date"
  y="value"
  color="series"
  width={1000}
  height={400}
  enableZoom={true}
  enableTooltip={true}
/>

Interactive Bar Chart

<script lang="ts">
import { createStore } from '@composable-svelte/core';
import { Chart, chartReducer, createInitialChartState } from '@composable-svelte/charts';

const data = [
  { category: 'Q1', revenue: 45000, expenses: 32000 },
  { category: 'Q2', revenue: 52000, expenses: 38000 },
  { category: 'Q3', revenue: 48000, expenses: 35000 },
  { category: 'Q4', revenue: 61000, expenses: 42000 }
];

const chartStore = createStore({
  initialState: createInitialChartState({ data }),
  reducer: chartReducer,
  dependencies: {}
});

let selectedCategory = $state<string | null>(null);

function handleSelection(selected: any[]) {
  selectedCategory = selected[0]?.category || null;
}
</script>

<div>
  <Chart
    store={chartStore}
    type="bar"
    x="category"
    y="revenue"
    enableBrush={true}
    enableTooltip={true}
    onSelectionChange={handleSelection}
  />

  {#if selectedCategory}
    <p>Selected: {selectedCategory}</p>
  {/if}
</div>

Real-time Data Visualization

<script lang="ts">
import { createStore, Effect } from '@composable-svelte/core';
import { Chart, chartReducer, createInitialChartState } from '@composable-svelte/charts';
import { onMount } from 'svelte';

let data = $state<Array<{ time: number; value: number }>>([]);

const chartStore = createStore({
  initialState: createInitialChartState({ data }),
  reducer: chartReducer,
  dependencies: {}
});

// Simulate real-time data stream
let intervalId: number;

onMount(() => {
  let time = 0;

  intervalId = setInterval(() => {
    const newPoint = {
      time: time++,
      value: Math.random() * 100
    };

    data = [...data.slice(-50), newPoint]; // Keep last 50 points

    chartStore.dispatch({
      type: 'setData',
      data
    });
  }, 100);

  return () => clearInterval(intervalId);
});
</script>

<Chart
  store={chartStore}
  type="line"
  x="time"
  y="value"
  yDomain={[0, 100]}
  enableAnimations={true}
/>

COMMON PATTERNS

Multiple Charts with Shared Selection

<script lang="ts">
const data = [...]; // Shared data

const chartStore1 = createStore({...});
const chartStore2 = createStore({...});

let selectedData = $state<any[]>([]);

function syncSelection(selected: any[]) {
  selectedData = selected;

  // Update both charts
  const indices = selected.map(d => data.indexOf(d));
  chartStore1.dispatch({ type: 'selectRange', range: [indices[0], indices[indices.length - 1]] });
  chartStore2.dispatch({ type: 'selectRange', range: [indices[0], indices[indices.length - 1]] });
}
</script>

<Chart store={chartStore1} ... onSelectionChange={syncSelection} />
<Chart store={chartStore2} ... onSelectionChange={syncSelection} />

Linked Zoom

<script lang="ts">
const masterStore = createStore({...});
const detailStore = createStore({...});

$effect(() => {
  const transform = $masterStore.transform;
  detailStore.dispatch({ type: 'zoom', transform });
});
</script>

<Chart store={masterStore} enableZoom={true} />
<Chart store={detailStore} /> <!-- Zooms with master -->

Dynamic Filtering

<script lang="ts">
let minValue = $state(0);
let maxValue = $state(100);

$effect(() => {
  chartStore.dispatch({
    type: 'filterData',
    predicate: (d) => d.value >= minValue && d.value <= maxValue
  });
});
</script>

<input type="range" bind:value={minValue} min="0" max="100" />
<input type="range" bind:value={maxValue} min="0" max="100" />
<Chart store={chartStore} ... />

PERFORMANCE CONSIDERATIONS

Large Datasets

Problem: Rendering 10,000+ points can be slow.

Solutions:

  1. Data aggregation: Bin/group data before rendering
  2. Sampling: Show subset of data (e.g., every 10th point)
  3. Level-of-detail: Show more detail when zoomed in
  4. WebGL rendering: Use Plot's WebGL marks (future)
// Example: Downsample data
const downsample = (data: any[], factor: number) =>
  data.filter((_, i) => i % factor === 0);

const displayData = data.length > 1000
  ? downsample(data, Math.ceil(data.length / 1000))
  : data;

chartStore.dispatch({ type: 'setData', data: displayData });

Frequent Updates

Problem: Real-time data updates cause re-renders.

Solutions:

  1. Batch updates: Update every N milliseconds, not every data point
  2. Sliding window: Keep fixed number of points (e.g., last 100)
  3. Throttle: Limit update frequency
// Throttle updates
let pendingData: any[] = [];
let updateTimer: number | null = null;

function queueUpdate(newData: any[]) {
  pendingData = newData;

  if (updateTimer === null) {
    updateTimer = setTimeout(() => {
      chartStore.dispatch({ type: 'setData', data: pendingData });
      updateTimer = null;
    }, 100); // Update max once per 100ms
  }
}

Animation Performance

Disable animations for large datasets or frequent updates:

<Chart
  store={chartStore}
  enableAnimations={false}
  ...
/>

TESTING

Basic Chart Testing

import { TestStore } from '@composable-svelte/core';
import { chartReducer, createInitialChartState } from '@composable-svelte/charts';

const store = new TestStore({
  initialState: createInitialChartState({ data: [] }),
  reducer: chartReducer,
  dependencies: {}
});

// Test data update
await store.send({
  type: 'setData',
  data: [{ x: 1, y: 10 }]
}, (state) => {
  expect(state.data.length).toBe(1);
  expect(state.filteredData.length).toBe(1);
});

// Test filtering
await store.send({
  type: 'filterData',
  predicate: (d) => d.y > 5
}, (state) => {
  expect(state.filteredData.length).toBe(1);
});

Selection Testing

await store.send({
  type: 'selectPoint',
  data: { x: 1, y: 10 },
  index: 0
}, (state) => {
  expect(state.selection.type).toBe('point');
  expect(state.selection.selectedData.length).toBe(1);
  expect(state.selection.selectedIndices).toEqual([0]);
});

await store.send({ type: 'clearSelection' }, (state) => {
  expect(state.selection.type).toBe('none');
  expect(state.selection.selectedData.length).toBe(0);
});

TROUBLESHOOTING

Chart not rendering:

  • Check Observable Plot installed: npm install @observablehq/plot
  • Verify data is non-empty array
  • Ensure x/y accessors match data properties

Tooltips not showing:

  • Verify enableTooltip={true}
  • Check Observable Plot version (0.6+ required)
  • Ensure data points have valid values (not null/undefined)

Zoom not working:

  • Verify enableZoom={true}
  • Check chart has fixed dimensions (not 100% width/height)
  • Ensure D3-zoom is installed

Poor performance:

  • Reduce data points (aggregate, sample, or downsample)
  • Disable animations for large datasets
  • Use simpler mark types (dots vs complex shapes)

Selection not updating:

  • Check onSelectionChange callback
  • Verify enableBrush={true} or enableSelection={true}
  • Ensure store is reactive ($chartStore.selection)

CROSS-REFERENCES

Related Skills:

  • composable-svelte-core: Store, reducer, Effect system
  • composable-svelte-components: UI components (Button, Slider, etc.)
  • composable-svelte-testing: TestStore for testing chart reducers

When to Use Each Package:

  • charts: 2D data visualization, interactive charts
  • graphics: 3D scenes, WebGPU/WebGL (see composable-svelte-graphics)
  • maps: Geospatial data (see composable-svelte-maps)
  • code: Code editors, media players (see composable-svelte-code)