LightningChart JS is a GPU-accelerated and WebGL-based JavaScript charting library designed for creating high-performance data visualization applications. Unlike traditional js charting libraries, LightningChart leverages the power of the device's graphics processor, resulting in efficient data loading, high refresh rates, and smooth interactions, making it significantly faster and more capable of handling large datasets.

LightningChart JS is specifically designed for real-time data plotting, offering high-performance updates and smooth transitions even with constantly changing data streams. Traditional graph libraries may struggle with real-time plotting due to limited performance, whereas LightningChart JS utilizes GPU acceleration and LightningChart's proprietary, super-efficient rendering techniques, to ensure a seamless real-time plotting experience.

Yes, LightningChart JS provides integration support for various frontend frameworks and technologies such as React, Angular, Vue.js, ASP.NET, Blazor, Xamarin, iOS, Android, and more. This flexibility enables developers to seamlessly embed LightningChart into their preferred development environment.

You can install LightningChart JS in a ReactJS project using npm or yarn. After installation, you can use LightningChart API to create your own LC-based React chart components and start utilizing powerful data visualization features.

Absolutely, LightningChart JS is designed to work seamlessly across web, mobile, and desktop platforms. Its cross-platform compatibility ensures consistent performance and visual appeal across different devices and operating systems. It's compatible with Windows, MacOS, Linux, Android and iOS.

GPU acceleration and WebGL rendering in LightningChart JS result in efficient data loading, high refresh rates, smooth interactions, and minimal CPU overhead. This technology significantly enhances the performance of data visualization applications, making them faster and more responsive, even with large datasets.

When visualizing a line chart, as a static dataset, the maximum amount of data can be several Billion data points. In real-time charting applications, 400 trends simultaneously with 1000 data points / s, keeping the refresh rate smooth at 60 FPS. The number of line charts visualized in real-time can exceed 4000. In heatmap charts, around 2 Billion data points are within possibilities.

LightningChart® JS is intended for scientific and engineering applications. It lacks some of the features needed in the industry, such as Technical Analysis charts, candlestick charts, and trading bar charts. To develop fintech applications, use LightningChart® JS Trader, which has all the features of LightningChart JS included, and more: Technical Analysis charts are included with 100 indicators, custom candlestick and trading bars charts can be created, and DataGrid can be utilized to create portfolio views and market watch dashboards.