SciChart

SciChart is a company that provides advanced chart libraries for various platforms such as WPF, iOS, Android, and JavaScript.

Their chart libraries are used by professionals worldwide for applications requiring high-performance visualization of big data and complex scenarios.

They offer support for various technologies like TypeScript, React, Vue, Angular, Swift, Objective-C, and more. With a highly configurable API surface and excellent support, SciChart is used by over 10,000 expert developers globally.

History

Led by software architect Andrew Burnett-Thompson, SciChart was founded in March 2012. However, doctoral research dating back to 2003 led to the development of their GPU-accelerated 2D/3D chart library.^[1]

SciChart's software has evolved significantly over time. Initially developed during a PhD program to address the need for plotting large datasets in 2D and 3D, SciChart has grown into a resource used by over 10,000 customers, and millions of end users in 90 countries.

Starting as a WPF chart library, the company is now recognised as the world’s only high-performance cross-platform chart library provider across WPF, iOS, Android and JavaScript.

The software has undergone several evolutions, with updates such as the introduction of consultancy services, cross-platform capabilities, and the development of SciChart.js for web applications.

The company's ethos is commitment to innovation, customer satisfaction and contributions to various fields such as healthcare, scientific research, and technological advancement.

Achievements

SciChart’s charting solutions were used to restore natural walking after paralysis from spinal cord injuries through the use of waveform visualization on nerve implants.

SciChart was selected for Nuclear Fusion research centered^[2] on superconductors analysis via the Super X device by the Chinese Government & Hefei Institute of Physical Sciences, helping to deliver the world record for stable fusion at 403 seconds.^[3]

The University of Illinois used SciChart to visualize big datasets of tumour images to reduce cancer screening times using a high-resolution medical imaging scanner.

Nasa leverages SciChart across multiple projects, including Streams, real-time biological signal processing for astronauts, and is targeted for deployment on the Moon to Mars Artemis missions.

Using SciChart, MirrorHR created an award-winning iOS app to monitor and help prevent epilepsy stroke in children, which won the Microsoft Hackathon 2019 award.

Awards

Winner of the Queen's Award for Enterprise Innovation in 2019 (Now King’s Award)^[4]. The King’s Award for Enterprise is for outstanding achievement by UK business.^[5]

Highly Commended Lloyds Bank National Business Awards 2019: Innovation^[6] - The UK’s largest and most prestigious awards programme that celebrates excellence across wards.^[7]

In 2023, SciChart was a finalist in the Go:Tech Awards for Best Use of Big Data: Celebrating Technology and Innovation across the UK.^[8]

Award criteria included creating innovative technology in the mixing of graphics rasterization technology with immediate-mode rendering as well as novel data-reduction and lossless resampling algorithms enabling large data sets to be displayed in record time across platforms.

Awards focused on the proprietary and novel rendering engine Visual Xcellerator(™) developed in-house by SciChart, its ongoing improvements, and the projects made possible by the use of SciChart’s technology.

The SciChart Leadership team received an All Party nomination as UK Business Leaders from the Houses of Parliament Select Committee headed by then Minister, Grant Shapps.

Products

SciChart offers cross-platform charting libraries for WPF, iOS, macOS, Android and Web platforms. Their award-winning 2D & 3D graphics engines are capable of rendering real-time charts with many millions of data points.

Some of the products and features include:

SciChart WPF is a big data charting library for WPF applications that provides fast rendering for real-time data feeds, customizable interactive features, and extensive support for developers. It includes examples like WPF Column Charts.

SciChart.js is a JavaScript charting library that offers high-performance 2D and 3D charts.

SciChart for Android is a feature-rich and powerful OpenGLES 2D & 3D chart component used for scientific, medical, financial, and enterprise applications. It allows developers to create stunning 2D and 3D charting applications in Java or Kotlin.

SciChart for iOS is a high-performance real-time 2D and 3D charting library designed for enterprise-level applications on iOS devices, with support for Swift and Objective-C. The library includes over 90 examples of 2D & 3D Swift and Objective-C iOS charts to help developers get started quickly.

Technical Support: SciChart provides technical support with different tiers based on the type of licence purchased. There are updates planned for various platforms, like iOS, macOS, Android, and improvements to existing products.

See also

• JavaScript framework
• JavaScript library

References

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