C3.js vs D3.js vs Highcharts

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Pros of C3.js
Pros of D3.js
Pros of Highcharts
  • 2
    Reusable charts
  • 1
    Easy to use
  • 179
    Beautiful visualizations
  • 91
  • 89
  • 78
    Large set of examples
  • 59
    Data-driven documents
  • 22
    Visualization components
  • 20
  • 18
    Dynamic properties
  • 14
  • 11
  • 5
    Makes data interactive
  • 4
    Enter and Exit
  • 3
    Backed by the new york times
  • 3
  • 2
  • 2
    Open Source
  • 2
    Easy and beautiful
  • 1
    Angular 4
  • 1
    Simple elegance
  • 1
    Templates, force template
  • 1
    Awesome Community Support
  • 32
    Low learning curve and powerful
  • 14
    Multiple chart types such as pie, bar, line and others
  • 11
    Responsive charts
  • 8
    Handles everything you throw at it
  • 7
    Extremely easy-to-parse documentation
  • 4
    Easy to customize color scheme and palettes
  • 4
    Built-in export chart as-is to image file

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Cons of C3.js
Cons of D3.js
Cons of Highcharts
  • 1
    Dependent on D3.js which is not lightweight
  • 5
    Beginners cant understand at all
  • 4
    Complex syntax
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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 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.

    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?
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    What companies use Highcharts?

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    What tools integrate with C3.js?
    What tools integrate with D3.js?
    What tools integrate with Highcharts?

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    Blog Posts

    Sep 8 2017 at 2:54PM
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    What are some alternatives to C3.js, D3.js, and Highcharts?
    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.
    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.
    Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
    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.
    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.
    See all alternatives
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