Home | nivonivo provides a rich set of dataviz components, built on top of D3 and React.
Unovis
import React, { useCallback } from 'react' import { VisXYContainer, VisAxis, VisArea, VisXYLabels } from '@unovis/react' import { data, formats, DataRecord, getLabels } from './data' export default function StackedArea (): JSX.Element { const labels = getLabels(data) return ( <> <VisXYContainer data={data} height={'50vh'}> <VisArea x={useCallback((d: DataRecord) => d.year, [])} y={formats.map(g =>
Welcome to Bokeh — Bokeh documentation
Bokeh documentation# Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself. Finding the right documentation resources# Bokeh’s documentation consists
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https://airbnb.io/visx/
GitHub - f5/unovis: Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript
