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

Charted

4
17
+ 1
0
Chartist.js

21
47
+ 1
10
Add tool

Charted vs CHARTIST.JS: What are the differences?

Charted: A charting tool that produces automatic, shareable charts from any data file. Charted is a tool for automatically visualizing data, created by the Product Science team at Medium. Provide the link to a data file and Charted returns a beautiful, interactive, and shareable chart of the data; CHARTIST.JS: *Open source Charting JavaScript library *. 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.

Charted and CHARTIST.JS can be primarily classified as "Charting Libraries" tools.

Some of the features offered by Charted are:

  • Rendering well on all screen sizes, including monitors
  • Re-fetching the data and updating the chart every 30 minutes
  • Moving data series into separate charts

On the other hand, CHARTIST.JS provides the following key features:

  • Simple handling while using convention over configuration
  • Fully responsive and DPI independent
  • Fully built and customizable with Sass

Charted is an open source tool with 2.73K GitHub stars and 195 GitHub forks. Here's a link to Charted's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Charted
Pros of Chartist.js
    Be the first to leave a pro
    • 5
      Small size
    • 4
      SVG
    • 1
      Animations

    Sign up to add or upvote prosMake informed product decisions

    Cons of Charted
    Cons of Chartist.js
      Be the first to leave a con
      • 2
        Weak documentation

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Charted?

      Charted is a tool for automatically visualizing data, created by the Product Science team at Medium. Provide the link to a data file and Charted returns a beautiful, interactive, and shareable chart of the data.

      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.

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

      What companies use Charted?
      What companies use Chartist.js?
      See which teams inside your own company are using Charted or Chartist.js.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Charted?
      What tools integrate with Chartist.js?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Charted and Chartist.js?
        Pound
        Pound was developed to enable distributing the load among several Web-servers and to allow for a convenient SSL wrapper for those Web servers that do not offer it natively.
        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.
        Chart.js
        Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
        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.
        See all alternatives