LightningChart® JS sets a new milestone for the Data Visualization industry achieving an over 10 Million data point-rendering capacity/sec.

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LightningChart® has taken the data visualization industry for JavaScript to the next level achieving a rendering capacity of over 10M data points in real-time.

An extract of line chart series displaying over 10 Million data points in real time using LightningChart for JavaScript.

An extract of a line chart series displaying over 10 Million data points in real time using LightningChart for JavaScript.

The most demanding industries, such as Medical Applications, deserve to have access to powerful and fast data rendering that supports them to continue serving people and saving lives.

In May 2021, our LightningChart® team of Data Scientists and Software Engineers found the solution to a major problem in the constantly evolving data visualization industry: live rendering of large datasets, in a data rate unseen in JavaScript and web controls world before.

Since LightningChart® JS first release in 2019, we knew that charting components in the JavaScript industry were highly competed and LightningChart® JS library would have to be an industry changer to make a real difference.

Major demanding, and life-changing, industries constantly require a visualization capacity that enables them to display data in a variety of charts. For instance, the medical industry requires real-time monitoring applications as well as 3D graphics that allow them to visualize biomedical data accurately and informatively.

So, we wanted to ensure that LightningChart® is able to display data uninterruptedly and contribute to the most demanding industries, such as Medical Applications, Aerospace and Defense, Vibration Research, or Industrial Automation.

To make sure we were completely right about our major achievement; we performed a comparison test between LightningChart® JS and major industry competitors. The results exceeded our expectations.

LightningChart® JS did not only display over new 10,000,000 data points / sec in real-time, but it kept the memory footprint to the lowest CPU overhead and incredibly fast mouse-response interactions.

The test was performed for line charts and focused on measuring: 1) initial rendering delay, 2) Frames Per Second, 3) Timeout Delay, and 4) Heap Size (MB).

The results of the test indicated that implementing LightningChart® on a high-end desktop PC, can keep over 30 FPS and data rates of over 10 million data points per second.

LightningChart® hopes this enormous achievement helps the data visualization, big data, and data science community by providing an entirely zero-cost license to support the development of the most demanding individual projects.

Happy coding!

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Pasi Tuomainen
Arction Ltd.
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