PCUI Graph

Create node based visual graphs in the browser. Supports undirected / directed graphs as well as visual scripting graphs containing nodes with input / output ports. Your graphs can be saved to a JSON file and loaded back into a new graph view at any time.

Getting Started

To build the graph library, run the following in the root directory.

npm install
npm run build

You can then use the library in your own project by including the dist/index.mjs file. The graph can then be instantiated as follows:

import { Graph } from 'dist/index.mjs';

const schema = {
    nodes: {
        0: {
            name: 'Hello',
            fill: 'red'
        },
        1: {
            name: 'World',
            fill: 'green'
        }
    },
    edges: {
        0: {
            from: [0], // this edge can connect nodes of type 0
            to: [1], // to nodes of type 1,
            stroke: 'blue'
        }
    }
}

const graph = new Graph(schema);
document.body.appendChild(graph.dom);

The library is also available on npm and can be installed in your project with

npm install --save @playcanvas/pcui-graph @playcanvas/pcui @playcanvas/observer

The npm package includes two builds of the library:

@playcanvas/pcui-graph/dist/pcui-graph.js // UMD build (requires that the pcui and observer libraries are present in the global namespace)
@playcanvas/pcui-graph/dist/pcui-graph.mjs // module build (requires a build tool like rollup / webpack)

Storybook

Examples of different graphs created with this library can be viewed by running storybook. Do so by running the following in the this projects root directory:

npm install
npm run storybook

Which will automatically open the storybook locally at http://localhost:9009.

Documentation

• Config Options

• Schema

• Context Menus

• Styling

• Events

• API