# Introduction

Charts.css is a new open source framework for data visualization. It replaces traditional JS charting libraries with a CSS framework.

Data visualization can improve user experience as graphical representation of data is usually easier to understand. If visualization helps end-users understand data, Charts.css helps frontend developers turn their data into beautiful graphs using simple CSS classes.

CSS frameworks (like Bootstrap and Tailwind) style HTML elements using predefined CSS utility classes. While those CSS frameworks focus on layouts, Charts.css focuses only on data visualization.

# How It Works

The web uses HTML for structure, CSS for styling and JS for functionality. When displaying data the same rules apply - we should use HTML to structure the data, and CSS to style the structural HTML elements.

With a few simple CSS classes applied on the container element, an entire table of data can be turned into a visually appealing chart. This framework is developer-friendly, making it easy to customize every element with simple CSS selectors.

# Alternatives

The web offers many charting libraries. They all use JS to render the data. Each implements a different strategy like VML, SVG, HTML canvas, image generators and other methods.

Traditional chart libraries are heavily dependent on JS. They unnecessarily complicate the visualization process with endless lists of properties and methods.

In addition, large JS libraries usually affect site performance. Search engines having trouble reading the data stored in JS objects. And many old solutions are not always accessible to screen readers.

Some libraries fixed search engine visibility by injecting HTML nodes. Accessibility issues were fixed with additional JS solutions. But in most cases these patches lead to increased background processing, affecting page performance.

With CSS frameworks, none of this is relevant. The raw data is part of the HTML, making it visible to search engines and screen readers. With CSS, rendering is not required, resulting in a performance boost compared to JS solutions.

# Which is Better

There is no best solution, it all depends on your needs and the capabilities of the solution you choose.

Should you abandon your current JS charting library? Not necessarily. Each library has its own advantages and use cases. You need to define your needs and find a solution that matches those needs.

When should you consider migrating to Charts.css? Most users just need a simple chart to display your data. In these cases there is no need to load heavy JS libraries. For complex charts with special behaviors not covered by Charts.css you should search for JS alternatives.

# Getting Started

To start using Charts.css see the installation page then head over to the usage page which explains how to structure your data and apply CSS classes. Next, visit the anatomy to see the layers of the different components.

# License

Charts.css is licensed under the MIT license (opens new window).