What is Muze?
Muze is a data visualization library which uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It uses a data-first approach to define the constructs and layers of the chart, automatically generates cross-chart interactivity, and allows you to over-ride any behavior or interaction on the chart.
Muze uses an in-browser DataModel to store and transform data, and control the behaviour of every component in the visualization, thereby enabling creating of complex and cross-connected charts.
Features
- ? Build complex and interactive visualizations by using composable layer constructs.
- ? Use rich data operators to transform, visualize and interact with data.
- ? Define custom interactions by configuring physical behavioural model and side effect.
- ✂️ Use css to change look and feel of the charts.
- ☀️ Have a single source of truth for all your visualization and interaction controlled from data.
- ? Integrate easily with your existing application by dispatching actions on demand.
Installation
CDN
Insert the muze build and the required CSS into the <head>:
<link href="https://cdn.muzejs.org/lib/muze/core/latest/themes/muze.css" rel="stylesheet">
<script src="https://cdn.muzejs.org/lib/muze/core/latest/muze.js" type="text/javascript"></script>
NPM
Install muze from NPM:
$ npm install --save muze
Also import the required stylesheet:
import 'muze/dist/muze.css';
Getting started
- Prepare the data and the corresponding schema using DataModel:
// Prepare the schema for data
const schema = [
{
name: 'Name',
type: 'dimension'
},
{
name: 'Maker',
type: 'dimension'
},
{
name: 'Horsepower',
type: 'measure',
defAggFn: 'avg'
},
{
name: 'Origin',
type: 'dimension'
}
]
// Prepare the data
const data = [
{
"Name": "chevrolet chevelle malibu",
"Maker": "chevrolet",
"Horsepower": 130,
"Origin": "USA"
},
{
"Name": "buick skylark 320",
"Maker": "buick",
"Horsepower": 165,
"Origin": "USA"
},
{
"Name": "datsun pl510",
"Maker": "datsun",
"Horsepower": 88,
"Origin": "Japan"
}
]
- Pass the data and schema to
DataModeland create a newDataModelinstance:
const DataModel = muze.DataModel;
const dm = new DataModel(data, schema);
- Pass the
DataModelinstance tomuzeand create your first chart:
import muze from 'muze';
import 'muze/dist/muze.css';
// Create a global environment to share common configs across charts
const env = muze();
// Create a new canvas instance from the global environment
const canvas = env.canvas();
canvas
.data(dm)
.rows(["Horsepower"]) // Fields drawn on Y axis
.columns(["Origin"]) // Fields drawn on X axis
.mount("#chart"); // Specify an element to mount on using a CSS selector
See muzejs.org/docs for more documentation!
You also can checkout our Yeoman Generator generator-muze to try out the muze through a boilerplate app.
Documentation
You can find detailed tutorials, concepts and API references at muzejs.org/docs.
Support
Please raise a Github issue here.
Roadmap
Please contribute to our public wishlist or upvote an existing feature at Muze Public Wishlist & Roadmap
Contributing
Your PRs and stars are always welcome :). Checkout the Contributing guides.
License
MIT
