C3.js vs Highcharts vs MetricsGraphics.js

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C3.js

262
161
+ 1
4
Highcharts

1.3K
1.1K
+ 1
92
MetricsGraphics.js

3
22
+ 1
2
Advice on C3.js, Highcharts, and MetricsGraphics.js
Needs advice
on
HighchartsHighchartsChart.jsChart.js
and
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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Replies (1)
Darren Adams
Senior Developer at Burning Glass Technologies · | 2 upvotes · 137.7K views
Recommends
on
HighchartsHighcharts

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
Pros of MetricsGraphics.js
  • 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
  • 2
    Simple

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Cons of C3.js
Cons of Highcharts
Cons of MetricsGraphics.js
  • 1
    Dependent on D3.js which is not lightweight
  • 9
    Expensive
    Be the first to leave a con

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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.

    What is MetricsGraphics.js?

    MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

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    What companies use C3.js?
    What companies use Highcharts?
    What companies use MetricsGraphics.js?

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    What tools integrate with C3.js?
    What tools integrate with Highcharts?
    What tools integrate with MetricsGraphics.js?
    What are some alternatives to C3.js, Highcharts, and MetricsGraphics.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.
    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