Highcharts vs Matplotlib

Overview

Highcharts

Stacks1.5K

Followers1.1K

Votes92

Matplotlib

Stacks1.6K

Followers336

Votes11

Highcharts vs Matplotlib: What are the differences?

Supported platforms: Highcharts is a JavaScript-based charting library that can be used in any web browser, while Matplotlib is a plotting library for Python, making it suitable for desktop and server-based applications.
Ease of use: Highcharts provides a user-friendly API that allows developers to quickly create interactive charts with minimal code. On the other hand, Matplotlib requires more code and configuration to achieve similar results.
Customization options: Highcharts offers a wide range of customization options, such as colors, styles, and animations, allowing users to create visually appealing charts. In contrast, Matplotlib provides a comprehensive set of customization features that enable fine-grained control over the appearance of plots.
Data handling: Highcharts has built-in support for handling dynamic data updates, making it suitable for real-time applications. Matplotlib, on the other hand, requires manual updates to the plot when handling dynamic data.
Chart types: Highcharts supports a wide variety of chart types, including line charts, bar charts, pie charts, and more, making it suitable for various data visualization needs. Matplotlib also provides a diverse range of plot types, but not as extensive as Highcharts.
Integration with other frameworks: Highcharts can easily be integrated with popular web frameworks, such as Angular, React, and Vue.js. Matplotlib, being a Python library, can also be integrated with these frameworks through appropriate packages, but the ease of integration may vary.

In summary, Highcharts is a JavaScript-based charting library that offers ease of use, extensive customization options, and support for various chart types, while Matplotlib is a Python plotting library that provides fine-grained control over plots and can be integrated with other frameworks.

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Advice on Highcharts, Matplotlib

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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Comments

Detailed Comparison

Highcharts	Matplotlib
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.	It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
It works in all modern mobile and desktop browsers including the iPhone/iPad and Internet Explorer from version 6;Free for non-commercial;One of the key features of Highcharts is that under any of the licenses, free or not, you are allowed to download the source code and make your own edits;Pure Javascript - Highcharts is solely based on native browser technologies and doesn't require client side plugins like Flash or Java.	-
Statistics
Stacks 1.5K	Stacks 1.6K
Followers 1.1K	Followers 336
Votes 92	Votes 11
Pros & Cons
Pros 34 Low learning curve and powerful 17 Multiple chart types such as pie, bar, line and others 13 Responsive charts 9 Handles everything you throw at it 8 Extremely easy-to-parse documentation Cons 9 Expensive	Pros 11 The standard Swiss Army Knife of plotting Cons 5 Lots of code

What are some alternatives to Highcharts, Matplotlib?

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.

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.

ApexCharts

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

Related Comparisons

Highcharts vs Matplotlib: What are the differences?

Supported platforms: Highcharts is a JavaScript-based charting library that can be used in any web browser, while Matplotlib is a plotting library for Python, making it suitable for desktop and server-based applications.
Ease of use: Highcharts provides a user-friendly API that allows developers to quickly create interactive charts with minimal code. On the other hand, Matplotlib requires more code and configuration to achieve similar results.
Customization options: Highcharts offers a wide range of customization options, such as colors, styles, and animations, allowing users to create visually appealing charts. In contrast, Matplotlib provides a comprehensive set of customization features that enable fine-grained control over the appearance of plots.
Data handling: Highcharts has built-in support for handling dynamic data updates, making it suitable for real-time applications. Matplotlib, on the other hand, requires manual updates to the plot when handling dynamic data.
Chart types: Highcharts supports a wide variety of chart types, including line charts, bar charts, pie charts, and more, making it suitable for various data visualization needs. Matplotlib also provides a diverse range of plot types, but not as extensive as Highcharts.
Integration with other frameworks: Highcharts can easily be integrated with popular web frameworks, such as Angular, React, and Vue.js. Matplotlib, being a Python library, can also be integrated with these frameworks through appropriate packages, but the ease of integration may vary.

Highcharts vs Matplotlib

Overview