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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.
Chartist.js is a tool in the Charting Libraries category of a tech stack.
Chartist.js is an open source tool with 12.5K GitHub stars and 2.6K GitHub forks. Here’s a link to Chartist.js's open source repository on GitHub

Who uses Chartist.js?


12 developers on StackShare have stated that they use Chartist.js.

Chartist.js Integrations

JavaScript, React, HTML5, WordPress, and Sass are some of the popular tools that integrate with Chartist.js. Here's a list of all 9 tools that integrate with Chartist.js.
Pros of Chartist.js
Small size

Chartist.js's Features

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

Chartist.js Alternatives & Comparisons

What are some alternatives to Chartist.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 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.
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
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

Chartist.js's Followers
27 developers follow Chartist.js to keep up with related blogs and decisions.