ggplot2 vs Muze | What are the differences? | StackShare

Muze vs ggplot2

Overview

ggplot2

Stacks124

Followers70

Votes0

GitHub Stars6.8K

Forks2.1K

Muze

Stacks7

Followers50

Votes0

GitHub Stars1.2K

Forks41

Muze vs ggplot2: What are the differences?

What is Muze? Tableau-Like Data Visualizations in JavaScript. 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.

What is ggplot2? A data visualization package for the statistical programming language R. It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

Muze and ggplot2 can be primarily classified as "Charting Libraries" tools.

Muze and ggplot2 are both open source tools. It seems that ggplot2 with 4.04K GitHub stars and 1.51K forks on GitHub has more adoption than Muze with 1.05K GitHub stars and 28 GitHub forks.

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Detailed Comparison

ggplot2	Muze
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.	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.
Axis titles; Tickmarks; Margins and points in ggplot2 look cooler	-
Statistics
GitHub Stars 6.8K	GitHub Stars 1.2K
GitHub Forks 2.1K	GitHub Forks 41
Stacks 124	Stacks 7
Followers 70	Followers 50
Votes 0	Votes 0
Integrations
MATLAB React Python SageMath Jupyter	No integrations available

What are some alternatives to ggplot2, Muze?

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.