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Chart.js vs Google Charts: What are the differences?

Introduction

Chart.js and Google Charts are two popular charting libraries used to create interactive and visually appealing charts on websites. While both libraries have similar functionalities, there are some key differences to consider when deciding which one to use. In this comparison, we will highlight six important differences between Chart.js and Google Charts.

  1. Data Source Options: Chart.js allows you to pass data directly into the chart, giving you more control over how the data is displayed. On the other hand, Google Charts require you to provide data in a specific format, such as a DataTable or JSON array. This can make data handling more structured, but also more complex.

  2. Chart Types: Chart.js offers a wide range of chart types, including bar, line, radar, pie, and more. It also provides flexibility in customizing these charts with various options and plugins. Google Charts, on the other hand, has a smaller selection of chart types, but provides additional specialized charts like geocharts and organization charts.

  3. Chart Customization: Chart.js has a comprehensive set of options and plugins that allow you to customize nearly every aspect of the chart, including colors, labels, tooltips, and animations. Google Charts also offers customization options, but they may be more limited in comparison, especially if you are looking for highly-specific customizations.

  4. Integration with other Google Services: One advantage of using Google Charts is its seamless integration with other Google services. You can easily integrate charts with Google Sheets or Google Analytics for real-time data updates. Chart.js, on the other hand, does not have direct integration with Google services and requires manual data handling.

  5. Browser Compatibility: Chart.js is supported by all modern browsers and handles gracefully even in older versions. It is built using HTML5 Canvas, which offers excellent performance across different browsers. Google Charts, on the other hand, may have limited compatibility with older browsers and may require additional dependencies or polyfills.

  6. Learning Curve: While both libraries have comprehensive documentation, Chart.js is often considered more beginner-friendly due to its simpler API and intuitive syntax. Google Charts, on the other hand, has a steeper learning curve with its specific data structure and configuration options.

In Summary, Chart.js offers more flexibility in data handling, chart types, and customization options, making it a suitable choice for developers seeking control and customization. Google Charts, on the other hand, provides seamless integration with Google services and specialized chart types, making it advantageous for projects closely tied to the Google ecosystem.

Advice on Google Charts and Chart.js
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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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Replies (1)
Darren Adams
Senior Developer at Burning Glass Technologies · | 2 upvotes · 141.7K 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 Google Charts
Pros of Chart.js
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    • 19
      Offers all types of charts
    • 14
      Interactive Charts
    • 10
      It's totally free

    Sign up to add or upvote prosMake informed product decisions

    Cons of Google Charts
    Cons of Chart.js
      Be the first to leave a con
      • 12
        Slow rendering
      • 2
        Bitmap quality export
      • 1
        Low quality zoom plugin
      • 0
        It's totally free

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Google Charts?

      It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart.

      What is Chart.js?

      Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Google Charts?
      What companies use Chart.js?
      See which teams inside your own company are using Google Charts or Chart.js.
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      What tools integrate with Google Charts?
      What tools integrate with Chart.js?
      What are some alternatives to Google Charts and Chart.js?
      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.
      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.
      Tableau
      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
      Alexa
      It is a cloud-based voice service and the brain behind tens of millions of devices including the Echo family of devices, FireTV, Fire Tablet, and third-party devices. You can build voice experiences, or skills, that make everyday tasks faster, easier, and more delightful for customers.
      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.
      See all alternatives