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X6: Graph Editing and Visualization Engine

Official Documentation • Quick Start • Graph Examples • FAQ • Demo Template • Awesome X6

AntV X6 is a graph editing engine based on HTML and SVG, providing low-cost customization capabilities and out-of-the-box built-in extensions that make it easy to quickly build applications such as DAG diagrams, ER diagrams, flowcharts, lineage graphs, and more. We hope developers can use X6 to rapidly build various graph editing applications they need, making process relationship data controllable, interactive, and visualized.

✨ Features

As a professional graph editing and visualization engine, X6 has the following features:

• 🌱 Highly Customizable: Supports customizing node styles and interactions using SVG / HTML / React / Vue / Angular, with a comprehensive event system that allows listening to any events occurring within the chart.
• 🚀 Out-of-the-Box: Built-in 10+ graph editing extensions, such as lasso selection, alignment lines, minimap, etc.
• 🧲 Data-Driven: Based on the MVC architecture, allowing users to focus more on data logic and business logic.
• 💯 Server-Side Rendering: Supports server-side rendering with good browser compatibility.

🔨 Getting Started

You can install via package managers like NPM or Yarn.

# npm
$ npm install @antv/x6 --save

# yarn
$ yarn add @antv/x6

After successful installation, you can import the Graph object using import.

<div id="container" style="width: 600px; height: 400px"></div>

import { Graph } from '@antv/x6'

const graph = new Graph({
  container: document.getElementById('container'),
  grid: true,
})

const source = graph.addNode({
  x: 300,
  y: 40,
  width: 80,
  height: 40,
  label: 'Hello',
});

const target = graph.addNode({
  x: 420,
  y: 180,
  width: 80,
  height: 40,
  label: 'World',
});

graph.addEdge({
  source,
  target,
});

If everything goes smoothly, you will get a simple flowchart canvas as shown below.

🧑🏻‍💻 Local Development

# Install project dependencies and initialize build
$ pnpm install

# Start examples to view results
pnpm run start:examples

📮 Contribution

Thank you to everyone who has contributed to this project and all supporters! 🙏

• Issue Feedback: If you encounter any issues with X6 during use, feel free to submit an Issue along with minimal reproducible code.
• Contribution Guide: How to participate in the development and contribution of X6.
• Discussion Ideas: Discuss on GitHub Discussion or DingTalk group.

📄 License

MIT.