Overview

Recharts

Stacks232

Followers258

Votes36

GitHub Stars26.2K

Forks1.8K

Muze

Stacks7

Followers50

Votes0

GitHub Stars1.2K

Forks41

Muze vs Recharts: What are the differences?

## Introduction
Muze and Recharts are both popular data visualization libraries used in web development. Below are key differences between Muze and Recharts.

## 1. Customizability and Flexibility: 
Muze offers greater customizability in visualizations with features like custom encoding and dynamic layers, providing more control over the appearance and behavior of charts compared to Recharts.

## 2. Data Transformation Capabilities:
Muze has built-in support for complex data transformations through its data model architecture, allowing for easy manipulation and analysis of data before visualizing it, whereas Recharts might require additional data processing steps.

## 3. Interactivity and User Experience: 
Recharts focuses more on interactivity with features like brush, zoom, and tooltips out of the box, enhancing user experience by allowing users to interact with the charts seamlessly, while Muze may require more customization for similar levels of interactivity.

## 4. Performance Optimization: 
Muze is designed for performance optimization with features like smart aggregation and filtering to handle large data sets efficiently, improving the overall speed and responsiveness of visualizations compared to Recharts.

## 5. Compatibility and Integration:
Recharts has wider compatibility with various frameworks and libraries like React, enabling easier integration into existing projects without much configuration, while Muze may require more effort for seamless integration with different tech stacks.

## 6. Community and Documentation Support:
Recharts has a larger user community and comprehensive documentation, making it easier for developers to find solutions to problems and get help when using the library compared to Muze, which might have a smaller community and limited resources.

In Summary, Muze and Recharts differ in customizability, data transformation capabilities, interactivity, performance optimization, compatibility, and community support.

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Advice on Recharts, Muze

Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

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Detailed Comparison

Recharts	Muze
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.	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.
Statistics
GitHub Stars 26.2K	GitHub Stars 1.2K
GitHub Forks 1.8K	GitHub Forks 41
Stacks 232	Stacks 7
Followers 258	Followers 50
Votes 36	Votes 0
Pros & Cons
Pros 11 Very intuitive API 8 Built for React, from scratch 7 Responsive 5 Composable chart elements 3 Easy to use Cons 2 Not considered time series charts	No community feedback yet
Integrations
React D3.js	No integrations available

What are some alternatives to Recharts, 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.

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.