ChartsCSS/charts.css

Open source CSS framework for data visualization.

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 10th, 2026
Created on September 26th, 2020
Open Issues & Pull Requests: 36 (+0)
GitHub issues: Enabled
Number of forks: 179
Total Stargazers: 6,580 (+0)
Total Subscribers: 73 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.9 days
Mean response time: 158.6 days
90th percentile: 89.5 days
Tracked items: 11

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Issue Activity (beta)

Open issues: 10
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 578 days
Stale 30+ days: 10
Stale 90+ days: 9

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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  • bug (1)

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Detailed Description

Charts.css is a CSS framework for data visualization that turns semantic HTML and CSS classes into charts and graphs without requiring JavaScript dependencies.

The framework solves the problem of creating accessible, customizable data visualizations by structuring data in semantic HTML and applying CSS classes to control visual representation. Rather than relying on JavaScript charting libraries, it uses pure CSS styling, allowing developers to customize any element through standard CSS properties and variables. This approach keeps the payload minimal while maintaining flexibility in design.

Developers should choose this tool when they need lightweight, accessible charts that integrate seamlessly with existing HTML and CSS workflows. It suits projects where keeping dependencies minimal matters, where charts need to be highly customizable through CSS alone, and where semantic HTML structure is a priority. The framework offers several chart types and components, each with multiple CSS classes and variables for styling, giving developers control over appearance without leaving the CSS layer.

The project maintains active engagement through GitHub discussions for community support. Development activity shows consistent refinement of the framework's core offering, with attention to keeping the minified footprint small while expanding the range of available chart components and customization options.