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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Plotly vs Recharts

Plotly vs Recharts

OverviewDecisionsComparisonAlternatives

Overview

Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
Recharts
Recharts
Stacks232
Followers258
Votes36
GitHub Stars26.2K
Forks1.8K

Plotly vs Recharts: What are the differences?

Introduction:

Plotly and Recharts are both popular data visualization libraries used for creating interactive charts and graphs in websites. While both libraries serve the same purpose, there are key differences between the two. In this article, we will explore the main differences between Plotly and Recharts.

  1. Implementation:

Plotly is primarily an open-source JavaScript library that provides a wide range of chart types and customization options. It supports various programming languages like Python, R, and Julia, making it versatile for different use cases. On the other hand, Recharts is a charting library specifically designed for React applications. It is built on top of existing SVG elements and offers a simple and declarative API for creating charts in React.

  1. Interactivity:

One of the major differences between Plotly and Recharts is the level of interactivity they provide. Plotly offers extensive interactivity features, allowing users to zoom, pan, and hover over the charts to view data points and values. It also supports interactive modebars for exporting the charts and enabling various modes. Recharts, on the other hand, provides basic interactivity features like tooltip display on hover but has more limited capabilities compared to Plotly.

  1. Chart Types:

Plotly provides a wide variety of chart types, ranging from basic line charts to more complex 3D and geo chart types. It also supports subplots, multiple axes, and small multiples, making it suitable for creating complex visualizations. Recharts, on the other hand, offers a more limited set of chart types, including bar charts, line charts, area charts, and scatter charts. While Recharts covers most common use cases, it may not be as versatile as Plotly when it comes to chart types.

  1. Customization Options:

Plotly provides extensive customization options, allowing users to fully customize every aspect of the charts, including colors, labels, titles, annotations, and more. It also provides a wide range of layout and styling options to create visually appealing charts. Recharts, on the other hand, has a more limited set of customization options compared to Plotly. While it allows users to customize basic styling elements like colors and labels, it may not provide as much control over the overall appearance of the chart.

  1. Ease of Use:

Plotly can sometimes have a steep learning curve due to its extensive features and syntax. However, once familiarized, it provides powerful charting capabilities. Recharts, on the other hand, aims to provide a simpler and more intuitive API for creating charts in React. It follows a declarative approach, making it easier for React developers to integrate and work with charts in their applications.

  1. Community Support and Documentation:

Plotly has a large and active community with extensive documentation and resources available. It has been around for longer and is widely adopted by developers and data scientists. Recharts, being specifically designed for React applications, also has a good community support and documentation, although it may not be as extensive or well-established as Plotly.

In Summary, Plotly is a versatile and powerful data visualization library with extensive customization options and interactivity, while Recharts is a simpler and more specialized charting library specifically designed for React applications, offering a more intuitive API.

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Advice on Plotly.js, Recharts

Steve
Steve

Lead Software Tools Engineer at Leonardo UK

Oct 30, 2020

Review

I would specifically recommend basing your application on Pandas which will handle the vast majority of the work for you. You will be amazed at what you will be able to get done with only a few lines of code.

Pandas can load the data from either Excel xslx files or csv files (and a lot of other places)

If you structure your code well you can have a cross platform command line program, a GUI desktop program, a Jupyter Notebook and a web service all with the vast majority of the code in common.

A jupyter notebook is a great place to start developing your code and may be all that you need.

Some plug-ins & resources that can help:

  • pandas-summary (for a rapid overview of the data): https://github.com/mouradmourafiq/pandas-summary
  • pandasgui (for exploring what you would like to do): https://github.com/adamerose/pandasgui
  • Pandas-Bokeh (plotting): https://github.com/PatrikHlobil/Pandas-Bokeh
  • plot.ly (plotting): https://plotly.com/python/pandas-backend/
  • wxPython (for a desktop GUI): https://wxpython.org/
8.81k views8.81k
Comments
Shaik
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

246k views246k
Comments

Detailed Comparison

Plotly.js
Plotly.js
Recharts
Recharts

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.

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

Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
-
Statistics
GitHub Stars
17.9K
GitHub Stars
26.2K
GitHub Forks
1.9K
GitHub Forks
1.8K
Stacks
399
Stacks
232
Followers
694
Followers
258
Votes
69
Votes
36
Pros & Cons
Pros
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
Cons
  • 18
    Terrible document
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
Integrations
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
React
React
D3.js
D3.js

What are some alternatives to Plotly.js, Recharts?

D3.js

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

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.

Chart.js

Chart.js

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

ECharts

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

ZingChart

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

amCharts

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

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

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.

ApexCharts

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Bokeh

Bokeh

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

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