three.js118k ★
anime74.5k ★Both tagged svg, canvas.
RepoClash › Html5 rivals
RepoClash · the open-source arena
three.js vs Chart.js
Html5 rivals. Both tagged html5, canvas. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.
Red corner
VSBlue corner
mrdoob/three.js: 118,132 stars, JavaScript. JavaScript 3D Library.
chartjs/Chart.js: 67,790 stars, JavaScript. Simple HTML5 Charts using the <canvas> tag
three.js vs Chart.js: tale of the tape
GitHub data as of November 11, 2026three.js has 1.7 times as many GitHub stars as Chart.js (118,132 vs 67,790). In the last 6 days, three.js gained more stars: +511 (+0.4%) against +11 (+0.0%) for Chart.js. three.js saw more development in the last 52 weeks with 2,836 commits, against 20 for Chart.js. three.js is the older project (created March 2010), Chart.js started in March 2013. Both are written mainly in JavaScript.
| mrdoob/three.js | chartjs/Chart.js | |
|---|---|---|
| Stars | 118,132 | 67,790 |
| Stars gained, last 6 days | +511 | +11 |
| Growth, last 6 days | +0.4% | +0.0% |
| Avg. stars per day since creation | 19 | 14 |
| Forks | 36,946 | 11,969 |
| Commits, last 52 weeks | 2,836 | 20 |
| Open issues | 401 | 648 |
| Best Repocharts rank today | #11 in JavaScript | #34 in JavaScript |
| Language | JavaScript | JavaScript |
| License | MIT | MIT |
| Created | Mar 23, 2010 | Mar 17, 2013 |
| Last push | Nov 11, 2026 | Nov 9, 2026 |
Quick answers
Which is more popular, three.js or Chart.js?
three.js has 1.7 times as many GitHub stars as Chart.js (118,132 vs 67,790) (Repocharts data as of November 11, 2026).
Which is growing faster, three.js or Chart.js?
In the last 6 days, three.js gained more stars: +511 (+0.4%) against +11 (+0.0%) for Chart.js.
Which is more actively developed?
three.js saw more development in the last 52 weeks with 2,836 commits, against 20 for Chart.js.
What languages are three.js and Chart.js written in?
Both are written mainly in JavaScript.
How does RepoClash compare three.js and Chart.js?
RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.
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