Top 9 Reasons Why a JavaScript Chart Library is Best Data

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LightningChart JavaScript Chart Library

KUOPIO, FINLAND, May 23, 2022 /EINPresswire.com/ — Visualization component
JavaScript is a programming language that allows developers to create interactive charts and graphs. A JS graphics library will be compatible with most devices, including web and mobile apps for a cross-platform development environment.

Some features that make a JavaScript chart library a powerful visualization tool are:

Rendering technology.
WebGL is the most advanced rendering technology. It is compatible with GPU acceleration.

The full potential of web graphics displayed by WebGL is limited. Factors such as resource consumption and algorithms sometimes limit what graphics can render. The most powerful JavaScript graphics libraries have optimized resources that allow the end application to display graphics with maximum performance.

GPU acceleration.
GPUs are more efficient for different graphics tasks as they work with the CPU to speed up the processing time. With advanced GPU-accelerated plotting and graphics, you can process visualizations quickly and easily.

Library collection.
Powerful JavaScript chart libraries often offer a variety of chart types for different use cases and industries. LightningChart JS offers over 100 interactive visualization examples that meet different industry-specific needs without requiring additional investment in development time.

Algorithms.
High-end web technologies alone do not guarantee high performance, but smart algorithms can.

A smart algorithm can make your data visualization application more efficient by combining the various tools of current technologies.

CPU and resource consumption.
CPU resources on devices are limited. When data visualization tools use the full capacity of the device, other tasks become slower and may even stop working because they do not have enough CPU power.

By using a graph that consumes too many resources, the user cannot interact with it. This means that the system will most likely crash. This is serious because it prevents industries and people from getting quick answers from applications that they need to process real-time analysis.

Frames per second (FPS)/refresh rate.
How does refresh rate in data visualization play a role? Generally, graphics can be deceiving if the refresh rate is too slow. Higher quality artwork comes from higher quality GPU and CPU rendering.

Chart libraries should render at a minimum of 40 FPS, depending on the number of data points being rendered. Slower speeds could result in a poor viewing experience.

Loading speed.
When cars measure the time it takes to go from 0 to 100, they do so in seconds. Graphics components measure rendering time in milliseconds.

Load speed measures the rendering process and the number of milliseconds it takes to fully load/display the graphic. The faster the loading time, the better the user experience.

The maximum amount of data viewed.
How many data points can a plotting or data visualization application handle before crashing? This will depend on the technology it is and the type of chart.

For example, the LightningChart JS Static Surface chart displays a max. amount of 144 million data points in just 1,260 milliseconds.

Incoming data points.
This setting indicates how much data the chart can handle to receive in the application. The more data, the more power it takes, which can lead to low memory and program crash.

Using LightningChart JS Appending Surface charts as a good benchmark of this high-speed performance, the total number of incoming data points per second that can be processed is 200,000 data points.

The performance of a JS chart can depend on the type of chart it is, so performance will vary from library to library.

Pasi Tuomainen
Arcion Ltd.
+358 453150905
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