AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證facetviz is a visualization library in typescript
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檢視完整 README ↗FacetViz is a modular, dependency-free TypeScript and SVG visualization library with a declarative configuration API.
Documentation · Feature guide · Examples · Playground
Visit the documentation website for supported charts, configuration options, themes, examples, and guides.
npm install facetviz
import { FacetViz } from 'facetviz';
new FacetViz('#chart', {
chart: { type: 'column' },
title: { text: 'Fruit consumption' },
xAxis: { categories: ['Apples', 'Pears', 'Bananas'] },
series: [
{ name: 'Jane', data: [1, 5, 3] },
{ name: 'John', data: [4, 2, 6] },
],
});
FacetCard renders a dashboard measure with optional change analysis and any
FacetViz chart. When previousValue is supplied, the difference and percentage
change are derived automatically.
import { FacetCard } from 'facetviz';
new FacetCard('#revenue-card', {
title: { text: 'Revenue', subtitle: 'Current month' },
value: 1284000,
format: '$,.1s',
comparison: {
previousValue: 1150000,
display: 'both',
label: 'vs last month',
},
chart: {
chart: { type: 'sparkline' },
series: [{ data: [82, 91, 88, 105, 116, 128] }],
},
});
Use favorableDirection: 'decrease' for measures such as response time or
defect count. Set layout: 'horizontal' to place the chart beside the measure.
First-class analytical blocks include progress, breakdown, split
comparison, radial goal, status, range, forecast, min/max context,
and operational summary rows.
npm install
npm run build
npm test
npm run dev
MIT