JavaScriptReact Data Visualization Components for Charting Apps

ArticleLearn how to embed high-performance charts to your React applications with LightningChart JS library

React Data Visualization Components

React is one of the most popular front-end development frameworks on the web in the year 2022. It is a free and open-source front-end JS library that is used to build interactive user interfaces for Single Page Applications (SPAs).

(Its rising popularity comes from the fact that it can be used by a user with a basic understanding of HTML and JavaScript!)

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But not only that, React data visualization becomes efficient with its distinct features such as virtual DOM and JSX. Visualizing a large amount of data can be a tedious task!

On top of that, working with datasets can be time-consuming and frustrating. Charting solutions that are compatible with all the popular JavaScript frontend frameworks like React, Angular, and Vue can make the work easier and faster. 

For this reason, our LightningChart team has maintained a LightningChart JS <-> React project template for quite a long time already.

We’ve had an ear open in various developer forums for the last couple of years and it seems that many people are still unaware of the modern possibilities of high-performance React data visualization! 😪

So, we decided to create a small example repository that showcases a simple user interface with an embedded heatmap chart inside.

Interestingly, you can see this application in action right here embedded in this very post!

By default, this heatmap chart has 1 million data points – however, as you can see, the loading is instantaneous.

In addition, we at LightningChart recently hosted a public performance comparison of different heatmap chart providers and open-source tools. The results surprised even us – our heatmap charts are over 1000 times more efficient than the average JS charting library (yep, commercial and open-source).

Also, this React data visualization application user interface allows you to explore different heatmap sizes by modifying the number of rows and columns. So go ahead and see how far you can get (however, if you go over 50 million data points or so,  there is a possibility that your browser might run out of memory and crash 😅, it might also take a while to generate the random test data).

You can find the source code for this application in our GitHub repository library, which can be a great kickstart to embedding charts in React applications!

Why embed LightningChart into your React data visualization applications?

Here are some reasons why you might want to try embedding LightningCharts into your React data visualization applications:

  • We have engineered our charts to perform with the least amount of stress to the website, all the while supporting previously unseen data visualization applications such as real-time charts with hundreds of high-resolution (1 kHz and more) data sources.
  • We support the most popular chart types and data visualization features in web charts.
  • It is free! To everyone trying our charts or using them for non-commercial applications, we offer a completely free community license that requires no credentials, no registration, and licensing software installation!
  • Last but not the least, It’s easy! We currently have 12 data visualization framework development templates for kickstarting your development on different frameworks and platforms, covering all kinds of needs like browser data visualization, server-side rendering, and cross-platform desktop applications!
  • You can easily plug our charts into your existing or new user interfaces.
  • Stream in static and real-time data sources with millions or even billions of data points.
Niilo Keinänen

Niilo Keinänen

CTO, LightningChart JS

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