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This library provides lightweight, inline charts perfect for dashboards and data visualization.\n\n\n<div>\n  <img src=\"https://github.com/iclaxton/sparkline-vue/blob/main/docs/sparkline-vue-demo.gif?raw=true)\" alt=\"Sparkline Vue Demo\" style=\"display: block; max-width: 100%; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);\">\n</div>\n\n## Interactive Demos\n<a href=\"https://iclaxton.github.io/sparkline-vue/\" target=\"_blank\">https://iclaxton.github.io/sparkline-vue/</a>     \n\n## Features\n\n- 🎯 **7 Chart Types**: Line, Bar, Tristate, Discrete, Bullet, Pie, and Box plots\n- ⚡ **High Performance**: Canvas-based rendering for smooth performance\n- 🎨 **Highly Customizable**: Extensive configuration options\n- 📱 **Responsive**: Automatic sizing and responsive design\n- 🚀 **Vue 3 Compatible**: Built for Vue 3 Composition API\n- 📦 **Zero Dependencies**: No jQuery required\n- 🎭 **TypeScript Ready**: Full TypeScript support with declaration files\n\n## Installation\n\n```bash\nnpm install sparkline-vue\n# or\nyarn add sparkline-vue\n# or\npnpm add sparkline-vue\n```\n\n## Basic Usage\n\n```vue\n<template>\n  <div>\n    <!-- Line chart -->\n    <Sparkline \n      :data=\"[1, 4, 6, 6, 8, 5, 3, 5]\" \n      type=\"line\" \n      :width=\"100\" \n      :height=\"30\" \n    />\n    \n    <!-- Bar chart -->\n    <Sparkline \n      :data=\"[1, 4, 6, 6, 8, 5, 3, 5]\" \n      type=\"bar\" \n      :width=\"100\" \n      :height=\"30\"\n      :options=\"{ barColor: '#3366cc' }\"\n    />\n  </div>\n</template>\n\n<script>\nimport Sparkline from 'sparkline-vue';\n\nexport default {\n  components: {\n    Sparkline\n  }\n}\n</script>\n```\n\n## Component Usage Notes\n\nThe component is registered as `Sparkline` (PascalCase). In Vue templates, you can use either:\n- `<Sparkline>` (PascalCase - recommended for SFC templates)\n- `<sparkline>` (kebab-case - required for in-DOM templates)\n\nBoth are equivalent, but PascalCase is recommended when using Single File Components (.vue files).\n\n## Chart Types\n\n### Line Chart\nPerfect for showing trends over time.\n\n```vue\n<Sparkline \n  :data=\"[1, 4, 6, 6, 8, 5, 3, 5]\" \n  type=\"line\"\n  :options=\"{\n    lineColor: '#00f',\n    fillColor: '#cdf',\n    spotColor: '#f80',\n    spotRadius: 2\n  }\"\n/>\n```\n\n#### Multi-Series Line Charts\nCompare multiple data series on the same chart.\n\n```vue\n<Sparkline \n  :data=\"[\n    [10, 15, 20, 18, 25, 30, 28],  // Series 1\n    [15, 18, 22, 20, 26, 28, 30],  // Series 2\n    [12, 17, 21, 19, 24, 29, 27]   // Series 3\n  ]\"\n  type=\"line\"\n  :width=\"300\"\n  :height=\"100\"\n  :options=\"{\n    seriesNames: ['Sales', 'Target', 'Forecast'],\n    lineColor: ['#0066cc', '#ff6600', '#00cc66'],\n    fillColor: ['rgba(0,102,204,0.15)', 'rgba(255,102,0,0.15)', 'rgba(0,204,102,0.15)'],\n    lineWidth: [2, 2, 2],\n    spotRadius: 0  // Hide spots for cleaner multi-series view\n  }\"\n/>\n```\n\n**Features:**\n- Automatic high-contrast color palette when colors not specified\n- Tooltips show all series values at cursor position\n- Supports per-series customization (colors, widths, spot radii)\n- Series names displayed in tooltips\n- Maintains full interactivity (hover, click events)\n\n### Bar Chart\nGreat for comparing discrete values.\n\n```vue\n<Sparkline \n  :data=\"[1, 4, 6, -2, 8, 5, -3, 5]\" \n  type=\"bar\"\n  :options=\"{\n    barColor: '#3366cc',\n    negBarColor: '#f44',\n    barWidth: 4,\n    barSpacing: 1\n  }\"\n/>\n```\n\n### Tristate Chart\nShows win/lose/draw states.\n\n```vue\n<Sparkline \n  :data=\"[1, -1, 0, 1, 1, 0, -1]\" \n  type=\"tristate\"\n  :options=\"{\n    posBarColor: '#6f6',\n    negBarColor: '#f44',\n    zeroBarColor: '#999',\n    stateLabels: { positive: 'Win', zero: 'Draw', negative: 'Loss' }\n  }\"\n/>\n```\n\n**Custom State Labels Example:**\n```vue\n<!-- Use custom labels for different contexts -->\n<Sparkline \n  :data=\"[1, -1, 0, 1, 1]\" \n  type=\"tristate\"\n  :options=\"{\n    stateLabels: { positive: 'Up', zero: 'Flat', negative: 'Down' }\n  }\"\n/>\n```\n\n### Discrete Chart\nVertical lines at different heights.\n\n```vue\n<Sparkline \n  :data=\"[1, 3, 4, 5, 5, 3, 4, 5]\" \n  type=\"discrete\"\n  :options=\"{\n    lineColor: '#00f',\n    thresholdColor: '#f00',\n    thresholdValue: 3\n  }\"\n/>\n```\n\n### Bullet Chart\nPerformance vs target visualization.\n\n```vue\n<Sparkline \n  :data=\"[10, 12, 12, 9, 7]\" \n  type=\"bullet\"\n  :options=\"{\n    targetColor: '#f33',\n    performanceColor: '#33f',\n    rangeColors: ['#d3dafe', '#a8b6ff', '#7f94ff']\n  }\"\n/>\n```\n\n### Pie Chart\nSimple proportional visualization.\n\n```vue\n<Sparkline \n  :data=\"[1, 1, 2]\" \n  type=\"pie\"\n  :options=\"{\n    sliceColors: ['#3366cc', '#dc3912', '#ff9900'],\n    borderWidth: 1\n  }\"\n/>\n```\n\n### Box Plot\nStatistical data distribution.\n\n```vue\n<Sparkline \n  :data=\"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\" \n  type=\"box\"\n  :options=\"{\n    boxLineColor: '#000',\n    boxFillColor: '#cdf',\n    whiskerColor: '#000'\n  }\"\n/>\n```\n\n## Configuration Options\n\n### Common Options\nAll chart types support these options:\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `width` | Number | 100 | Chart width in pixels |\n| `height` | Number | 30 | Chart height in pixels |\n| `lineColor` | String | '#00f' | Primary line/border color |\n| `fillColor` | String | '#cdf' | Fill color |\n| `disableTooltips` | Boolean | false | Disable all tooltips |\n| `showTooltipTitle` | Boolean | true | Show title in multi-value tooltips |\n| `tooltipPrefix` | String | '' | Text to prepend to tooltip values |\n| `tooltipSuffix` | String | '' | Text to append to tooltip values |\n\n### Line Chart Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `spotColor` | String | '#f80' | Color of end spots |\n| `spotRadius` | Number | 1.5 | Radius of spots |\n| `lineWidth` | Number | 1 | Width of the line |\n| `minSpotColor` | String | '#f80' | Color of minimum value spot |\n| `maxSpotColor` | String | '#f80' | Color of maximum value spot |\n| `normalRangeMin` | Number | undefined | Lower bound of normal range |\n| `normalRangeMax` | Number | undefined | Upper bound of normal range |\n| `normalRangeColor` | String | '#ccc' | Color of normal range |\n| `dataLabels` | Array<string> | undefined | Labels for each data point (e.g., ['Jan', 'Feb', 'Mar']) |\n| `getPointDataLabel` | Function | undefined | Callback function to generate labels: `(index) => string` |\n| `seriesNames` | Array<string> | undefined | Names for each series in multi-series charts |\n\n### Bar Chart Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `barColor` | String | '#3366cc' | Color for positive bars |\n| `negBarColor` | String | '#f44' | Color for negative bars |\n| `zeroColor` | String | undefined | Color for zero values |\n| `barWidth` | Number | 4 | Width of each bar |\n| `barSpacing` | Number | 1 | Space between bars |\n| `zeroAxis` | Boolean | true | Whether to center around zero |\n| `dataLabels` | Array<string> | undefined | Labels for each data point (e.g., ['Q1', 'Q2', 'Q3']) |\n| `getPointDataLabel` | Function | undefined | Callback function to generate labels: `(index) => string` |\n| `seriesNames` | Array<string> | undefined | Names for each segment in stacked bar charts |\n\n### Tristate Chart Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `posBarColor` | String | '#6f6' | Color for positive values |\n| `negBarColor` | String | '#f44' | Color for negative values |\n| `zeroBarColor` | String | '#999' | Color for zero values |\n| `stateLabels` | Object | `{ positive: 'Win', zero: 'Draw', negative: 'Loss' }` | Custom labels for the three states |\n| `barWidth` | Number | 4 | Width of each bar |\n| `barSpacing` | Number | 1 | Space between bars |\n| `dataLabels` | Array<string> | undefined | Labels for each data point (e.g., ['Game 1', 'Game 2']) |\n| `getPointDataLabel` | Function | undefined | Callback function to generate labels: `(index) => string` |\n\n### Discrete Chart Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `lineColor` | String | '#00f' | Default line color |\n| `lineHeight` | Number | 'auto' | Height of lines |\n| `thresholdColor` | String | undefined | Color for values above threshold |\n| `thresholdValue` | Number | 0 | Threshold value |\n| `dataLabels` | Array<string> | undefined | Labels for each data point (e.g., ['Mon', 'Tue', 'Wed']) |\n| `getPointDataLabel` | Function | undefined | Callback function to generate labels: `(index) => string` |\n\n### Pie Chart Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `sliceColors` | Array<string> | ['#3366cc', '#dc3912', ...] | Colors for pie slices |\n| `borderWidth` | Number | 0 | Width of slice borders |\n| `borderColor` | String | '#000' | Color of slice borders |\n| `offset` | Number | 0 | Angle offset in degrees |\n| `dataLabels` | Array<string> | undefined | Labels for each slice (e.g., ['Category A', 'Category B']) |\n| `getPointDataLabel` | Function | undefined | Callback function to generate labels: `(index) => string` |\n| `glowIntensity` | Number | 5 | Intensity of highlight glow effect (0 to disable) |\n\n### Bullet Chart Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `targetColor` | String | '#f33' | Color of target marker |\n| `performanceColor` | String | '#33f' | Color of performance bar |\n| `rangeColors` | Array<string> | ['#d3dafe', '#a8b6ff', '#7f94ff'] | Colors for range bands |\n| `targetWidth` | Number | 3 | Width of target line |\n\n### Box Plot Options\n\n| Option | Type | Default | Description |\n|--------|------|---------|-------------|\n| `boxLineColor` | String | '#000' | Color of box outline |\n| `boxFillColor` | String | '#cdf' | Fill color of box |\n| `whiskerColor` | String | '#000' | Color of whiskers |\n| `outlierLineColor` | String | '#333' | Color of outlier markers |\n| `outlierFillColor` | String | '#fff' | Fill color of outlier markers |\n| `medianColor` | String | '#f00' | Color of median line |\n| `showOutliers` | Boolean | true | Whether to show outliers |\n| `target` | Number | undefined | Target value to display |\n| `targetColor` | String | '#4a2' | Color of target marker |\n\n## Advanced Usage\n\n### X-Y Coordinate Data\nYou can provide coordinate pairs for line charts:\n\n```vue\n<Sparkline \n  :data=\"[[1,1], [2.7,4], [3.4,6], [5,6]]\" \n  type=\"line\"\n/>\n```\n\n### Multi-Series Line Charts\n\nDisplay multiple data series on a single line chart. Perfect for comparing trends, showing actual vs. target, or multi-region analysis.\n\n**Basic Multi-Series:**\n```vue\n<template>\n  <Sparkline \n    :data=\"multiSeriesData\"\n    type=\"line\"\n    :width=\"300\"\n    :height=\"100\"\n    :options=\"multiSeriesOptions\"\n  />\n</template>\n\n<script setup>\nimport { ref } from 'vue'\n\nconst multiSeriesData = ref([\n  [10, 15, 20, 18, 25, 30, 28],    // Actual sales\n  [15, 18, 22, 20, 26, 28, 30]     // Target sales\n])\n\nconst multiSeriesOptions = {\n  seriesNames: ['Actual', 'Target'],\n  // Colors auto-assigned if not specified (high-contrast palette)\n  lineColor: ['#0066cc', '#ff6600'],\n  fillColor: ['rgba(0,102,204,0.15)', 'rgba(255,102,0,0.15)'],\n  lineWidth: [2, 2],\n  spotRadius: 0  // Optional: hide spots for cleaner look\n}\n</script>\n```\n\n**Auto Colors:**\n```vue\n<!-- Uses default high-contrast palette automatically -->\n<Sparkline \n  :data=\"[[1,2,3], [4,5,6], [7,8,9]]\"\n  type=\"line\"\n  :options=\"{ seriesNames: ['A', 'B', 'C'] }\"\n/>\n```\n\n**Per-Series Customization:**\n```vue\n<Sparkline \n  :data=\"[series1, series2, series3]\"\n  type=\"line\"\n  :options=\"{\n    seriesNames: ['North', 'South', 'West'],\n    lineColor: ['#e74c3c', '#3498db', '#2ecc71'],  // Red, Blue, Green\n    lineWidth: [3, 2, 1],                           // Emphasize first series\n    spotRadius: [2, 0, 0]                           // Spots only on first series\n  }\"\n/>\n```\n\n**Features:**\n- Automatic color assignment with 8 high-contrast colors\n- Tooltips show all series values at hover position\n- Single vertical line highlights all series simultaneously\n- Full support for null values and gaps\n- Maintains chart range across all series\n- Per-series customization for colors, widths, and spots\n\n### Null Values\nNull values create gaps in line charts or are omitted in bar charts:\n\n```vue\n<Sparkline \n  :data=\"[1, 4, 6, null, null, 5, 3, 5]\" \n  type=\"line\"\n/>\n```\n\n### Dynamic Updates\nThe component automatically redraws when data changes:\n\n```vue\n<template>\n  <Sparkline :data=\"dynamicData\" type=\"line\" />\n</template>\n\n<script>\nimport { ref, onMounted } from 'vue';\n\nexport default {\n  setup() {\n    const dynamicData = ref([1, 2, 3, 4, 5]);\n    \n    onMounted(() => {\n      setInterval(() => {\n        dynamicData.value = Array.from(\n          { length: 10 }, \n          () => Math.random() * 100\n        );\n      }, 1000);\n    });\n    \n    return { dynamicData };\n  }\n}\n</script>\n```\n\n## Migration from jQuery Sparkline\n\nIf you're migrating from the original jQuery Sparkline library:\n\n1. Replace `$(selector).sparkline(data, options)` with `<Sparkline :data=\"data\" :options=\"options\" />`\n2. Move chart type from options to the `type` prop\n3. Move width/height from options to props\n4. The rest of the options remain largely the same\n\n### jQuery (Old)\n```javascript\n$('.sparkline').sparkline([1,4,6,6,8,5,3,5], {\n  type: 'line',\n  width: 100,\n  height: 30,\n  lineColor: '#00f',\n  fillColor: '#cdf'\n});\n```\n\n### Vue (New)\n```vue\n<Sparkline \n  :data=\"[1,4,6,6,8,5,3,5]\"\n  type=\"line\"\n  :width=\"100\"\n  :height=\"30\"\n  :options=\"{\n    lineColor: '#00f',\n    fillColor: '#cdf'\n  }\"\n/>\n```\n\n## Advanced Usage\n\n### Programmatic Control\n\nAccess chart methods for advanced control:\n\n```vue\n<template>\n  <Sparkline \n    ref=\"chartRef\"\n    :data=\"chartData\" \n    type=\"line\"\n  />\n  <button @click=\"refreshChart\">Refresh</button>\n</template>\n\n<script setup>\nimport { ref } from 'vue'\nimport Sparkline from 'sparkline-vue'\n\nconst chartRef = ref(null)\nconst chartData = ref([1, 2, 3, 4, 5])\n\nconst refreshChart = () => {\n  chartRef.value?.refresh()\n}\n\n// Access chart instance\nconst getChartDetails = () => {\n  const instance = chartRef.value?.getChartInstance()\n  console.log('Chart instance:', instance)\n}\n</script>\n```\n\n### Tooltip Customization\n\nControl tooltip appearance and content:\n\n```vue\n<template>\n  <!-- Disable title in tooltips -->\n  <Sparkline \n    :data=\"multiSeriesData\"\n    type=\"line\"\n    :options=\"{\n      showTooltipTitle: false,  // Hide title\n      tooltipPrefix: '$',\n      tooltipSuffix: ' USD'\n    }\"\n  />\n  \n  <!-- Custom tooltip formatting -->\n  <Sparkline \n    :data=\"[1, 2, 3, 4, 5]\"\n    type=\"bar\"\n    :options=\"{\n      tooltipPrefix: 'Value: ',\n      tooltipSuffix: ' units',\n      tooltipFormat: '{{value.2}}'  // 2 decimal places\n    }\"\n  />\n</template>\n```\n\n**Tooltip Options:**\n- `showTooltipTitle`: Show/hide title in multi-value tooltips (default: true)\n- `disableTooltips`: Completely disable tooltips (default: false)\n- `tooltipPrefix`: Text to prepend to values\n- `tooltipSuffix`: Text to append to values\n- `tooltipFormat`: Template string for formatting (e.g., `'{{value.2}}'` for 2 decimals)\n\n### Event Handling\n\nListen to chart interactions:\n\n```vue\n<Sparkline \n  :data=\"[1,2,3,4,5]\"\n  type=\"line\"\n  @click=\"handleClick\"\n  @region-change=\"handleRegionChange\"\n/>\n\n<script setup>\nconst handleClick = (detail) => {\n  console.log('Clicked region:', detail.region)\n  console.log('Value:', detail.value)\n}\n\nconst handleRegionChange = (detail) => {\n  console.log('Region changed:', detail.region)\n  console.log('Previous region:', detail.previousRegion)\n}\n</script>\n```\n\n## Performance Optimization\n\n### Use Optimized Mode for Many Charts\n\nWhen displaying many charts (50+), enable optimized mode:\n\n```vue\n<Sparkline \n  :data=\"data\"\n  :optimized=\"true\"\n/>\n```\n\nBenefits:\n- **Object Pooling**: Reuses chart instances\n- **Shared Tooltips**: One tooltip for all charts\n- **Cached Defaults**: Reduces memory allocations\n- **~50% faster** rendering with large datasets\n\n### Performance Tips\n\n1. **Batch Updates**: Update data in batches rather than individual points\n2. **Debounce Rapid Changes**: Use `debounce` for frequently updating data\n3. **Appropriate Dimensions**: Smaller charts render faster\n4. **Disable Tooltips**: Set `disableTooltips: true` if not needed\n5. **Live Data**: Tooltips are automatically preserved during data updates for smooth UX\n\n```vue\n<script setup>\nimport { ref } from 'vue'\nimport { debounce } from 'lodash-es'\n\nconst chartData = ref([])\n\n// Debounce rapid updates\nconst updateData = debounce((newData) => {\n  chartData.value = newData\n}, 100)\n</script>\n```\n\n## Accessibility\n\nThe component includes built-in accessibility features:\n\n- **ARIA role**: Canvas has `role=\"img\"`\n- **ARIA label**: Descriptive label with chart type and data point count\n- **Keyboard navigation**: Accessible through standard tab navigation\n- **Screen reader friendly**: Provides context about chart content\n\n### Enhancing Accessibility\n\nProvide additional context when needed:\n\n```vue\n<div role=\"region\" aria-label=\"Sales performance chart\">\n  <h3 id=\"chart-title\">Monthly Sales</h3>\n  <Sparkline \n    :data=\"salesData\"\n    type=\"line\"\n    aria-describedby=\"chart-title\"\n  />\n  <p class=\"sr-only\">\n    Sales trend showing {{ salesData.length }} months of data\n  </p>\n</div>\n```\n\n## Common Pitfalls\n\n### 1. Forgetting Required Props\n\nThe component includes helpful validation that will warn you in development mode.\n\n❌ **Wrong**:\n```vue\n<Sparkline type=\"line\" />\n<!-- Console warning: [Sparkline] data prop is required -->\n```\n\n✅ **Correct**:\n```vue\n<Sparkline :data=\"[1,2,3,4,5]\" type=\"line\" />\n```\n\n### 2. Passing Non-Numeric Data\n\n❌ **Wrong**:\n```vue\n<Sparkline :data=\"['1', '2', '3']\" />\n<!-- Console warning: [Sparkline] data must be an array -->\n```\n\n✅ **Correct**:\n```vue\n<Sparkline :data=\"[1, 2, 3]\" />\n```\n\n### 3. Mutating Props Directly\n\n❌ **Wrong**:\n```vue\n<script setup>\nconst data = [1, 2, 3]\ndata.push(4) // Mutates directly\n</script>\n```\n\n✅ **Correct**:\n```vue\n<script setup>\nimport { ref } from 'vue'\n\nconst data = ref([1, 2, 3])\ndata.value = [...data.value, 4] // Create new array\n</script>\n```\n\n### 4. Not Handling Empty Data\n\n✅ **Best Practice**:\n```vue\n<template>\n  <div v-if=\"chartData.length > 0\">\n    <Sparkline :data=\"chartData\" />\n  </div>\n  <div v-else>\n    No data available\n  </div>\n</template>\n```\n\n### 5. Incorrect Dimensions\n\n❌ **Wrong**:\n```vue\n<Sparkline :data=\"data\" width=\"200px\" height=\"50px\" />\n<!-- Console warning: [Sparkline] width must be a positive number -->\n```\n\n✅ **Correct**:\n```vue\n<Sparkline :data=\"data\" :width=\"200\" :height=\"50\" />\n```\n\n## Server-Side Rendering (SSR)\n\nThe component is SSR-compatible (Nuxt, VitePress, etc.):\n\n```vue\n<!-- Works in Nuxt without client-only wrapper -->\n<Sparkline :data=\"[1,2,3,4,5]\" type=\"line\" />\n```\n\nThe component automatically detects server environment and skips canvas operations during SSR.\n\n## TypeScript Support\n\nFull TypeScript support with comprehensive type definitions:\n\n```typescript\nimport { ref } from 'vue'\nimport Sparkline, { type SparklineProps } from 'sparkline-vue'\n\nconst props: SparklineProps = {\n  data: [1, 2, 3, 4, 5],\n  type: 'line',\n  width: 200,\n  height: 50,\n  options: {\n    lineColor: '#00f',\n    fillColor: '#cdf'\n  }\n}\n```\n\n## Testing\n\nThe package includes comprehensive tests. To run them:\n\n```bash\nnpm install\nnpm test\n```\n\n### Testing Your Implementation\n\n```typescript\nimport { mount } from '@vue/test-utils'\nimport Sparkline from 'sparkline-vue'\n\ndescribe('My Sparkline Usage', () => {\n  it('renders correctly', () => {\n    const wrapper = mount(Sparkline, {\n      props: {\n        data: [1, 2, 3, 4, 5],\n        type: 'line'\n      }\n    })\n    \n    expect(wrapper.find('canvas').exists()).toBe(true)\n  })\n})\n```\n\n## Browser Support\n\n- Chrome 60+\n- Firefox 55+\n- Safari 12+\n- Edge 79+\n\n## Troubleshooting\n\n### Charts Not Rendering\n\n1. **Check browser console** for error messages\n2. **Verify data format** is an array of numbers\n3. **Ensure dimensions** are positive numbers\n4. **Check canvas support** in your browser\n\n### Performance Issues\n\n1. **Enable optimized mode** for many charts\n2. **Reduce data points** if possible\n3. **Use appropriate chart dimensions**\n4. **Disable tooltips** if not needed\n\n### TypeScript Errors\n\n1. **Update type definitions**: `npm install sparkline-vue@latest`\n2. **Check prop types** match the interface\n3. **Import types**: `import type { SparklineProps } from 'sparkline-vue'`\n\n## Contributing\n\nContributions are welcome! Please read our contributing guidelines and submit pull requests to our repository.\n\n## Examples & Development\n\n### Quick Start with Examples\n\n1. **Install dependencies:**\n   ```bash\n   npm install\n   ```\n\n2. **Start the development server:**\n   ```bash\n   npm run dev\n   ```\n\n3. **Visit:** http://localhost:5175/\n\n### Available Examples\n\nCheck out the `/docs` directory for comprehensive demos:\n\n- 🏠 **Landing Page** - Overview with navigation between all examples\n- 📊 **Complete Demo** - All 7 chart types with interactive features\n- 🚀 **Simple Demo** - Basic implementations using Vue 3 from CDN\n- 💬 **Tooltip Demo** - Advanced tooltip formatting examples\n- ⚡ **Vite Demo** - Modern Vue SPA with ES modules\n\n### Building the Library\n\n```bash\nnpm run build\n```\n\nThis creates distributable files in the `dist/` directory.\n\n## License\n\nThis project is licensed under the BSD-3-Clause License - the same license as the original jQuery Sparkline library.\n\n## Credits\n\nThis library is a Vue.js rewrite of the excellent [jQuery Sparkline](http://omnipotent.net/jquery.sparkline/) library v2.1.2 by Gareth Watts (Splunk, Inc.). All chart rendering logic and algorithms are ported from the original implementation.\n","readmeFilename":"README.md"}