{"id":7808,"date":"2023-07-16T08:41:32","date_gmt":"2023-07-16T07:41:32","guid":{"rendered":"https:\/\/www.scichart.com\/?post_type=blog_scichart&p=7808"},"modified":"2024-01-29T15:22:58","modified_gmt":"2024-01-29T15:22:58","slug":"the-best-javascript-chart-10-reasons","status":"publish","type":"blog_scichart","link":"https:\/\/www.scichart.com\/blog\/the-best-javascript-chart-10-reasons\/","title":{"rendered":"The Best JavaScript Chart Library: 10 Compelling Reasons to Choose SciChart.js in 2024"},"content":{"rendered":"
We created our JavaScript Chart Library<\/a> to make impossible projects possible<\/strong>. The reasons users choose SciChart are Flexibility, customisability, <\/strong>creating complex interactions <\/strong>and excellent docs & tech support.<\/strong><\/p>\n
In this blog post we’re going to go through ten compelling reasons <\/strong>why SciChart.js is the Best JavaScript Chart library in 2024<\/strong><\/a> for complex, big-data visualisation applications, and why it’s consistently rated number 1 for medical<\/a>, aerospace<\/a>, motorsport<\/a> and financial<\/a> use.<\/p>\n
Now with a FREE Community Edition<\/a><\/strong> why not try out this exciting new library?<\/p>\n
Ten Reasons at a glance:<\/h4>\n
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- #1 The Fastest, Highest Precision WebGL Charts<\/a>\n
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- #1.1 WebGL Context Limits in competitors<\/a><\/li>\n
- #1.2 Performance Comparison between charts<\/a><\/li>\n<\/ul>\n<\/li>\n
- #2 Rich Interactions<\/a><\/li>\n
- #3 Complex Axis Options and Layouts<\/a><\/li>\n
- #4 Link Multiple Charts together<\/a><\/li>\n
- #5 Add Many Annotations, Labels to charts<\/a><\/li>\n
- #6 Create Scientific 3D Charts<\/a><\/li>\n
- #7 Customize Zooming, Panning<\/a><\/li>\n
- #8 Modify data by Point & Click<\/a><\/li>\n
- #9 Style & Animate everything<\/a><\/li>\n
- #10 Fully Documented, Rich Demos & Tech Support<\/a><\/li>\n
- What else sets SciChart apart?<\/a><\/li>\n<\/ul>\n<\/blockquote>\n
#1 The Fastest, Highest Precision WebGL Charts, Period.<\/h2>\n
Other chart libraries struggle with datasets beyond a few thousand points. Many use standard technologies like Canvas or SVG where real-time or dynamic charts<\/a> are difficult or impossible. Some use WebGL but suffer with limits of WebGL context (max 2-16 contexts per page) or have precision issues limiting the amount of zoom into scientific data.<\/span><\/span><\/p>\n
Here are some things you can do with SciChart that you cannot do with other chart libraries:<\/p>\n
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- You can plot millions of data-points<\/a><\/span><\/span> without slowdown.<\/li>\n
- You can plot hundreds of series<\/a> on a single chart without slowdown.<\/span><\/span><\/li>\n
- You can create dashboards with hundreds of WebGL charts<\/a> on a single page without hitting browser limits.<\/span><\/span><\/li>\n
- You can update chart data in real-time in scientific or analytics applications. The chart will never be a bottleneck.<\/li>\n<\/ul>\n