![]() ![]() It is one of the most used and currently the most starred JavaScript data viz library on GitHub (with over 102k stars currently). To learn more: Chart.js documentation D3.jsĭ3.js is a JavaScript data viz library for adding dynamic and interactive visualizations to web applications. You’ll also need to put in extra effort to support basic chart features like zooming and panning. One of Chart.js’ drawbacks is that its charts are rendered with a dull gray color by default, which can make styling different chart parts with different colors difficult when working with large datasets. Additionally, its integration includes customizable labels, legends, hover pop-ups, and series toggling. It provides out-of-the-box support for nine different chart types, including scatter plot, line, bar, pie, donut, bubble, area, radar, and mixed chart - all of which are also responsive and accessible by default. Some of its advantages are that it’s fairly easy to integrate this library into your application. To learn more: ApexChart Documentation Chart.jsĬhart.js is one of the most used JavaScript data visualization libraries and the second most starred on GitHub after D3.js, with over 57k stars as at the time of writing this article.Ĭhart.js provides simple, clean, and engaging charts that you can quickly incorporate into your application. Performance-wise, you can also explore this example with 1000 random datasets to see ApexChart performance with a large dataset. ![]() Here’s the full list of libraries that we’ll cover: We’ll also cover their capabilities and drawbacks, along with instructions and code samples on how to use them. ![]() We’ll look at various libraries that offer data visualization techniques, such as the basic level chart (bar charts, pie charts, and so on), financial charts (candlesticks, trading indicators), map charts, scatter plot charts, and many more. Throughout this article, we’ll go over ten of the most commonly used Javascript data visualizations, some of which you’ll encounter frequently as a software engineer, others that I believe deserve more attention. With data visualization tools, you can quickly present data and make it easier to digest.Īs with every technical decision, choosing your tools is important based on their ease of integration, the number of features they provide, and their intuitiveness. You must be able to use data to tell your story in a way that is simple and quick for everyone to comprehend.ĭata visualization, otherwise known as data viz., refers to the process of presenting data in a visual or graphical format. In reality, no one has the time to read through a large amount of information. Visuals are your best option for presenting data in the modern world. ![]()
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