C3.js vs Plotly.js

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C3.js

174
144
+ 1
4
Plotly.js

294
584
+ 1
68
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C3.js vs Plotly: What are the differences?

What is C3.js? A D3-based reusable chart library. c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.

What is Plotly? The Web's fastest growing charting libraries. Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React.

C3.js and Plotly can be primarily classified as "Charting Libraries" tools.

Some of the features offered by C3.js are:

  • Comfortable - C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more.
  • Customizable - C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3.
  • Controllable - C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even if after it's rendered.

On the other hand, Plotly provides the following key features:

  • Feature parity with MATLAB/matplotlib graphing
  • Online chart editor
  • Fully interactive (hover, zoom, pan)

C3.js and Plotly are both open source tools. Plotly with 10.4K GitHub stars and 1.21K forks on GitHub appears to be more popular than C3.js with 8.42K GitHub stars and 1.4K GitHub forks.

Key Location, Helpful, and Scifabric are some of the popular companies that use C3.js, whereas Plotly is used by Wellzesta, Algo Edge Technologies, and ADEXT. C3.js has a broader approval, being mentioned in 20 company stacks & 5 developers stacks; compared to Plotly, which is listed in 11 company stacks and 10 developer stacks.

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Pros of C3.js
Pros of Plotly.js
  • 2
    Easy to use
  • 2
    Reusable charts
  • 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
  • 4
    Active user base
  • 3
    Webgl chart types are extremely performant
  • 3
    Impressive support for webgl 3D charts
  • 3
    Charts are easy to share with a cloud account
  • 2
    Publication quality image export
  • 2
    Easy to use online editor for creating plotly.js charts
  • 2
    Interactive charts

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Cons of C3.js
Cons of Plotly.js
  • 1
    Dependent on D3.js which is not lightweight
  • 16
    Terrible document

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- No public GitHub repository available -

What is C3.js?

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

What is 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.

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What companies use C3.js?
What companies use Plotly.js?
See which teams inside your own company are using C3.js or Plotly.js.
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What tools integrate with C3.js?
What tools integrate with Plotly.js?

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What are some alternatives to C3.js and Plotly.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 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.
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.
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