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

Highcharts vs Plotly vs amCharts

OverviewDecisionsComparisonAlternatives

Overview

Highcharts
Highcharts
Stacks1.5K
Followers1.1K
Votes92
Plotly.js
Plotly.js
Stacks399
Followers694
Votes69
GitHub Stars17.9K
Forks1.9K
amCharts
amCharts
Stacks216
Followers230
Votes21

Highcharts vs Plotly vs amCharts: What are the differences?

Introduction

Highcharts, Plotly, and amCharts are popular JavaScript charting libraries used for data visualization on websites. Each library offers unique features and capabilities that cater to different needs of developers. Understanding the key differences between Highcharts, Plotly, and amCharts can help in selecting the most suitable library for a particular project.

  1. Chart Types: Highcharts provides a wide range of chart types including line, bar, pie, scatter, and more, making it versatile for various data visualization needs. Plotly excels in providing interactive charts like 3D plots, heatmaps, and contour plots, enhancing user engagement in data exploration. amCharts offers unique chart types such as radar, funnel, and gauge charts, ideal for presenting data in creative and visually appealing ways.

  2. Community Support: Highcharts has a large community of users and developers, leading to extensive documentation, forums, and resources for troubleshooting and learning. Plotly, being an open-source library, benefits from a growing community that contributes to its development, resulting in regular updates and new features. amCharts provides responsive customer support and dedicated resources for users, ensuring prompt assistance and reliable guidance.

  3. Customization Options: Highcharts offers rich customization options through its API, allowing developers to personalize every aspect of a chart, from colors and fonts to animations and interactions. Plotly emphasizes a declarative approach to customization, enabling users to create complex visuals with minimal code through its user-friendly syntax. amCharts provides a user-friendly interface for customizing charts, making it easy for beginners to design visually appealing charts without advanced coding knowledge.

  4. Performance and Rendering: Highcharts is known for its fast rendering speed and optimized performance, making it suitable for handling large datasets and complex visualizations efficiently. Plotly's WebGL-based rendering engine enhances the speed and responsiveness of interactive charts, ensuring smooth user experience even with intricate visuals. amCharts prioritizes performance by offering lightweight solutions that load quickly on web pages, improving loading times and overall responsiveness.

  5. Licensing and Pricing: Highcharts follows a commercial licensing model, requiring a paid license for certain usages and deployments, which may be a consideration for budget-conscious projects. Plotly offers open-source licensing options for community use and commercial use, providing flexibility for different types of projects and organizations. amCharts has a dual-licensing model with free and commercial options, allowing users to choose the most suitable license based on their project requirements and budget constraints.

  6. Integration and Compatibility: Highcharts seamlessly integrates with popular JavaScript frameworks like React and Angular, providing native support for smooth integration into web applications and frameworks. Plotly offers integration with various programming languages like Python, R, and MATLAB, enabling cross-platform compatibility and data analysis capabilities. amCharts supports integration with major web technologies and platforms, ensuring ease of use and compatibility with different development environments.

In Summary, understanding the key differences between Highcharts, Plotly, and amCharts in terms of chart types, community support, customization options, performance, licensing, and integration can help in making an informed decision when selecting a JavaScript charting library for data visualization projects.

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Advice on Highcharts, Plotly.js, amCharts

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

Highcharts
Highcharts
Plotly.js
Plotly.js
amCharts
amCharts

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 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.

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.

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.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export
Free or Commercial; All chart and map types you might need; Works on all modern browsers and also old IE; Can use SVG filters; Can be styled with CSS; Online editor available; Zoomable, Scrollable; Date-based charts
Statistics
GitHub Stars
-
GitHub Stars
17.9K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
1.5K
Stacks
399
Stacks
216
Followers
1.1K
Followers
694
Followers
230
Votes
92
Votes
69
Votes
21
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
  • 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
  • 18
    Mock-up tools
  • 3
    Each element can be Customized
Cons
  • 1
    Amcharts upgrade often need to rewrite all code
Integrations
No integrations available
Python
Python
React
React
MATLAB
MATLAB
Jupyter
Jupyter
Julia
Julia
Vue.js
Vue.js
React
React
TypeScript
TypeScript
AngularJS
AngularJS

What are some alternatives to Highcharts, Plotly.js, amCharts?

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.

Chart.js

Chart.js

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

Recharts

Recharts

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

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.

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.

Matplotlib

Matplotlib

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.

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