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C3.js vs Highcharts: What are the differences?

  1. Data Visualization Types: Highcharts offers a wide range of chart types like area, line, bar, column, and more, making it versatile for various data visualization needs. On the other hand, C3.js is primarily focused on providing interactive line charts and does not have as extensive a range of chart types as Highcharts.

  2. Ease of Use: Highcharts provides a more user-friendly and intuitive API, allowing developers to create charts with ease. C3.js, while also user-friendly, may require more customization and configuration for complex chart designs compared to Highcharts.

  3. Community Support and Documentation: Highcharts has a larger community base and extensive documentation available, making troubleshooting and finding resources easier for developers. C3.js, while still supported, may have slightly fewer resources and community support in comparison.

  4. Customization Options: Highcharts offers a high level of customization options, allowing developers to adjust various aspects of the chart design easily. C3.js, while customizable, may have limitations in terms of advanced customization features compared to Highcharts.

  5. License: Highcharts requires a commercial license for commercial use, while also providing a free version for non-commercial use. C3.js, on the other hand, is open-source and free to use for both commercial and non-commercial projects, providing more flexibility in licensing options.

  6. Performance: In terms of performance, Highcharts is known for its efficiency in handling large datasets and rendering complex charts smoothly. C3.js, while capable of handling data visualization tasks effectively, may experience some performance limitations with extremely large datasets or intricate chart designs.

In Summary, the key differences between C3.js and Highcharts lie in the variety of data visualization types, ease of use, community support, customization options, licensing requirements, and performance capabilities.

Advice on C3.js and Highcharts
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RechartsRecharts

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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Darren Adams
Senior Developer at Burning Glass Technologies · | 2 upvotes · 137.7K views
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I've used Highcharts with both Angular Js Reactive applications (render as ReactJs) and also a bit of D3. Personally I found Highcharts to be the easiest to use but, with still quite a good level of customisability if you need it. graphs and charts then give D3 a try.

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Pros of C3.js
Pros of Highcharts
  • 2
    Easy to use
  • 2
    Reusable charts
  • 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
  • 5
    Built-in export chart as-is to image file
  • 5
    Easy to customize color scheme and palettes
  • 1
    Export on server side, can be used in email

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Cons of C3.js
Cons of Highcharts
  • 1
    Dependent on D3.js which is not lightweight
  • 9
    Expensive

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What is C3.js?

c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.

What is 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.

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What companies use C3.js?
What companies use Highcharts?
See which teams inside your own company are using C3.js or Highcharts.
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What tools integrate with C3.js?
What tools integrate with Highcharts?
What are some alternatives to C3.js and Highcharts?
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.
NVD3
This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizable, staying away from your standard cookie cutter solutions.
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.
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.
See all alternatives