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  1. Stackups
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  4. Charting Libraries
  5. ApexCharts vs Highcharts vs React D3 Library

ApexCharts vs Highcharts vs React D3 Library

OverviewDecisionsComparisonAlternatives

Overview

Highcharts
Highcharts
Stacks1.5K
Followers1.1K
Votes92
React D3 Library
React D3 Library
Stacks28
Followers115
Votes0
GitHub Stars1.5K
Forks82
ApexCharts
ApexCharts
Stacks135
Followers238
Votes16
GitHub Stars15.0K
Forks1.4K

ApexCharts vs Highcharts vs React D3 Library: What are the differences?

Introduction

ApexCharts, Highcharts, and React D3 Library are popular charting libraries for creating interactive and customizable charts on the web.

  1. Data Visualization Capabilities: ApexCharts offers modern and visually appealing charts with a wide range of customization options, Highcharts provides a comprehensive set of chart types and features for advanced data visualization, while React D3 Library leverages the power of D3.js to create highly customizable and dynamic data visualizations.

  2. Integration with React: ApexCharts and Highcharts can be seamlessly integrated with React applications using dedicated React wrappers, allowing for easy manipulation and updating of charts within a React component. React D3 Library, on the other hand, offers a more low-level approach to data visualization with D3.js, requiring a deeper understanding of the library for integration with React.

  3. Community Support and Documentation: Highcharts has a large and active community with comprehensive documentation and tutorials, making it easier for developers to get started and troubleshoot issues. ApexCharts also has a growing community and extensive documentation, while React D3 Library may require more effort in finding resources and support due to its lower popularity.

  4. Performance and Rendering: Highcharts is known for its optimized performance and smooth rendering of complex charts, making it suitable for handling large datasets and real-time updates. ApexCharts also offers good performance but may not be as fast as Highcharts in certain scenarios. React D3 Library provides fine-grained control over rendering, allowing for efficient updates and transitions but may require additional optimization for performance-critical applications.

  5. License and Pricing: Highcharts is a commercial library with different licensing options based on usage, while ApexCharts is open-source under the MIT license, making it free for personal and commercial use. React D3 Library, being based on D3.js, is also open-source under the BSD license, providing flexibility in usage and customization without additional costs.

  6. Chart Types and Features: Highcharts has an extensive collection of chart types and features out-of-the-box, including interactive elements like tooltips and zooming. ApexCharts also offers a wide range of chart types and features, although it may have some limitations compared to Highcharts. React D3 Library allows for the creation of custom chart types and interactions through the flexibility of D3.js, making it suitable for highly specialized data visualization requirements.

In Summary, ApexCharts, Highcharts, and React D3 Library provide distinct features and capabilities for creating interactive charts, with differences in data visualization capabilities, integration with React, community support, performance, licensing, and chart types.

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Advice on Highcharts, React D3 Library, ApexCharts

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

247k views247k
Comments

Detailed Comparison

Highcharts
Highcharts
React D3 Library
React D3 Library
ApexCharts
ApexCharts

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.

An open source library that will allow developers the ability to reroute D3 output to React’s virtual DOM. Just use your existing D3 code, and with a few simples lines, you can now harness the power of React with the flexibility of D3!

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

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
GitHub Stars
-
GitHub Stars
1.5K
GitHub Stars
15.0K
GitHub Forks
-
GitHub Forks
82
GitHub Forks
1.4K
Stacks
1.5K
Stacks
28
Stacks
135
Followers
1.1K
Followers
115
Followers
238
Votes
92
Votes
0
Votes
16
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
No community feedback yet
Pros
  • 4
    Interactive charts
  • 4
    Provides zooming capabilities
  • 3
    Graphs renders in SVG
  • 3
    Open source with MIT license
  • 2
    Multiple chart types such as pie, bar, line and others
Cons
  • 4
    Slow rendering
Integrations
No integrations available
React
React
D3.js
D3.js
Vue.js
Vue.js
React
React
Angular
Angular

What are some alternatives to Highcharts, React D3 Library, ApexCharts?

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.

Plotly.js

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

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.

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.

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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