npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@antv/g2

v5.1.15

Published

the Grammar of Graphics in Javascript

Downloads

573,920

Readme

English | 简体中文

G2 is a visualization grammar for dashboard building, data exploration and storytelling.

Build Status Coverage Status npm Version npm Download npm License

examples

G2 is named after Leland Wilkinson’s book The Grammar of Graphics and was profoundly inspired by it in the very beginning. Here are some resources you can begin with:

  • Introduction - a brief overview and G2's motivations
  • Examples - a large number of demos to learn from and copy-paste
  • Tutorials - interactive case-driven guides of G2's core concepts
  • API Reference - complete documentation for all visualization components

✨ Features

  • Progressive Usage - The main objective of G2 is to help you get meaningful visualizations quickly with concise declarations and it infers the rest. But you can configure much more for complex and advanced situations.
  • Declarative API - We employs a functional declarative API to specify chart options in a programmatic fashion, which contributes to better logic reuse and more flexible code organization.
  • High Extensibility - To satisfy specific needs, G2 provides a convenient and consistent mechanism to extend everything you can imagine, whether a scale, a transform, a mark, etc,. You can even customize a brand new visualization tool based on this mechanism.
  • Comprehensive Grammar - G2 rejects a chart typology in favor of marks, transforms, scales, coordinates, and compositions. In addition to static visual representations, it's possible to declare data-driven animations and apply well-designed action-based interactions to plots as well.
  • Powerful Renderer - There is a powerful renderer G under G2 to generate web-based visualizations using Canvas, SVG or WebGL. The plenty of plugins it has benefit G2 from rendering charts with novel styles such as hand-drawn and fully embracing the ecosystem of D3.

🔨 Getting Started

G2 is usually installed via a package manager such as npm or Yarn.

$ npm install @antv/g2
$ yarn add @antv/g2

The Chart object then can be imported from G2.

<div id="container"></div>
import { Chart } from '@antv/g2';

// A tabular data to be visualized.
const data = [
  { genre: 'Sports', sold: 275 },
  { genre: 'Strategy', sold: 115 },
  { genre: 'Action', sold: 120 },
  { genre: 'Shooter', sold: 350 },
  { genre: 'Other', sold: 150 },
];

// Instantiate a new chart.
const chart = new Chart({
  container: 'container',
});

// Specify visualization.
chart
  .interval()                   // Create an interval mark and add it to the chart.
  .data(data)                   // Bind data for this mark.
  .encode('x', 'genre')         // Assign genre column to x position channel.
  .encode('y', 'sold')          // Assign sold column to y position channel.
  .encode('color', 'genre');    // Assign genre column to color channel.

// Render visualization.
chart.render();

If all goes well, you can get the following lovely bar chart!

🌍 Ecosystem

📮 Contributing

📄 License

MIT@AntV.