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G2Plot is an interactive and responsive charting library. Based on the grammar of graphics, you can easily make superior statistical charts through a few lines of code.

With AntV design principles of data visualization, G2Plot provides standard and elegant visual styles as well as neat config options.

G2Plot guarantees the readability of the charts in different sizes and data.

With the feature of layers, charts can be grouped, nested or linked to do exploratory analysis and expressive storytelling.

$ npm install @antv/g2plot

<div id="container"></div>

import { Bar } from '@antv/g2plot';

const data = [
  { year: '1951 年', sales: 38 },
  { year: '1952 年', sales: 52 },
  { year: '1956 年', sales: 61 },
  { year: '1957 年', sales: 145 },
  { year: '1958 年', sales: 48 },
];

const bar = new Bar('container', {
  data,
  xField: 'sales',
  yField: 'year',
  seriesField: 'year',
});

bar.render();

Your contributions are always welcome! Please Do have a look at the issues first.

To become a contributor, please follow our contributing guide.

Thanks goes to these wonderful people (emoji key):

Visiky 💻	hustcc 💻	Joel Alan 💻	刘珍莹 💻	zqlu 💻	arcsin1 💻
被雨水过滤的空气 💻	banli 💻	xi li 💻	DarrenPei 💻	MiniPear 💻	connono 💻
于向前 💻	afc163 💻	Martin Jul 💻	jhwong 💻	Jingsong Gao 💻	Mr小刘 💻
ntscshen 💻	yiminanci 💻	ai-qing-hai 💻	xrkffgg 💻	Dawnlck 💻	Karis 💻
Mayne 💻	Plortinus 💻	Shanjie Chen 💻	Yang Libin 💻	beewolf233 💻	lqzhgood 💻
neoddish 💻	stack-stark 💻	vector 💻	嘤嘤嘤 💻	琚致远 💻	14 💻

This project follows the all-contributors specification. Contributions of any kind welcome!

钉钉群组号码: 30233731

ChartCube - Online chart making tool based on G2Plot.

MIT