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

xm-g2-4x

v4.1.2

Published

the Grammar of Graphics in Javascript

Downloads

218

Readme

English | 简体中文

A highly interactive data-driven visualization grammar for statistical charts.

CI Coverage Status NPM Package NPM Downloads Dependencies Percentage of issues still open PRs Welcome

G2 is a visualization grammar, a data-driven visual language with a high level of usability and scalability. It provides a set of grammars, takes users beyond a limited set of charts to an almost unlimited world of graphical forms. With G2, you can describe the visual appearance and interactive behavior of a visualization just by one statement, and generate web-based views using Canvas or SVG.

📺 Live Demos

✨ Features

  • 💯Stable grammar of graphics: enable to draw all kinds of charts by mapping data to graphics.
  • 🤩New grammar of interaction: interaction behaviors combined with Trigger and Action mechanisms are used to exploring data.
  • 🦍Advanced View module: with the ability to develop customized multi-dimension data analysis graphics.
  • 👬Dual-engine rendering: with the ability to switch Canvas and SVG freely.
  • 💄Visual components: interaction-oriented, elegant experience.
  • 🛡Fully embrace Typescript: Complete type definition files are provided.

📦 Installation

$ npm install @antv/g2

🔨 Getting Started

Before drawing we need to prepare a DOM container for G2:

<div id="c1"></div>
import { Chart } from '@antv/g2';

const data = [
  { genre: 'Sports', sold: 275 },
  { genre: 'Strategy', sold: 115 },
  { genre: 'Action', sold: 120 },
  { genre: 'Shooter', sold: 350 },
  { genre: 'Other', sold: 150 },
];

// Step 1: Create a Chart instance.
const chart = new Chart({
  container: 'c1', // Specify chart container ID
  width: 600, // Specify chart width
  height: 300, // Specify chart height
});

// Step 2: Load the data.
chart.data(data);

// Step 3: Declare the grammar of graphics, draw column chart.
chart.interval().position('genre*sold');

// Step 4: Render chart.
chart.render();

⌨️ Development

# Install dependencies
$ npm install

# Run test cases
$ npm run test

# Open electron to run test cases and listen to file changes
$ npm run test-live

# Run CI
$ npm run ci

# Run website
$ npm start

🏷️ Releases

  • v3.5.x: https://github.com/antvis/G2/tree/v3.5.x
  • v4.0.x: https://github.com/antvis/G2/tree/v4.0.x

You can also use G2Plot which is an interactive and responsive charting library based on G2. You can easily make superior statistical plots through a few lines of code.

🤝 How to Contribute

Please let us know how can we help. Do check out issues for bug reports or suggestions first.

To become a contributor, please follow our contributing guide.