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CHARTIST.JS vs Chart.js: What are the differences?

Introduction

In the world of data visualization, CHARTIST.JS and Chart.js are two popular JavaScript libraries used for creating interactive and visually appealing charts. While they share some similarities, they also have key differences that make them suitable for different use cases.

  1. Compatibility with different browsers: One of the primary differences between CHARTIST.JS and Chart.js is their compatibility with various web browsers. CHARTIST.JS is known for its broader compatibility, as it supports most modern browsers including Internet Explorer 9 and above. On the other hand, Chart.js has limited support for older versions of Internet Explorer (before version 9).

  2. Chart Types: Both libraries offer a wide range of chart types, but they differ in terms of the specific options available. CHARTIST.JS provides more options for creating animated, interactive charts such as line charts, bar charts, pie charts, and scatter plots. In contrast, Chart.js offers additional chart types like radar charts, polar area charts, and doughnut charts, which are not available in CHARTIST.JS.

  3. Ease of Use: When it comes to ease of use, Chart.js can be a better choice for beginners or users who prefer a simpler implementation. It has a more intuitive API and documentation, making it easier to understand and get started with. On the other hand, CHARTIST.JS has a steeper learning curve and requires a better understanding of SVG and CSS concepts for customization.

  4. Performance: Performance can be a crucial factor when dealing with large datasets or real-time visualizations. In terms of performance, Chart.js has an edge over CHARTIST.JS, as it utilizes the HTML5 canvas element for rendering charts. This results in better efficiency and performance compared to CHARTIST.JS, which uses SVG for rendering.

  5. Animations and Interactivity: Both libraries offer options for adding animations and interactivity to charts. However, CHARTIST.JS specializes in creating highly customizable and visually appealing animations. It provides more fine-grained control over animations, allowing users to customize the timing, delay, and easing effects. On the other hand, Chart.js focuses on providing smoother and simpler animations out-of-the-box, making it easier to create basic animated charts without much customization.

  6. Community and Support: The community and support for a library can greatly influence its development, bug fixes, and availability of resources. While both CHARTIST.JS and Chart.js have active communities and ongoing development, Chart.js has a larger and more widely recognized community. It has extensive documentation, tutorials, and a larger pool of user-contributed plugins and extensions, making it easier to find solutions and resources.

In Summary, CHARTIST.JS and Chart.js differ in their compatibility, available chart types, ease of use, performance, animations and interactivity options, and community support. These differences make them suitable for different requirements and preferences when it comes to data visualization.

Advice on Chartist.js and Chart.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 · 135.6K 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 Chartist.js
Pros of Chart.js
  • 5
    Small size
  • 4
    SVG
  • 1
    Animations
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free

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Cons of Chartist.js
Cons of Chart.js
  • 2
    Weak documentation
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free

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What is Chartist.js?

It is an open source Charting JavaScript library which provide a solution to the problems faced by charting libraries. It’s lightweight, simple and flexible to integrate . You can Create responsive, scalable and good looking charts with it.

What is Chart.js?

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

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

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What are some alternatives to Chartist.js and Chart.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.
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.
C3.js
c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.
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