At SciChart, we focus on speed and performance first. Our charts are engineered for applications in complex, mission-critical domains, such as scientific, engineering, medical and financial, where the ability to render large data sets is essential. We serve the fastest charts across platforms, including JavaScript, WPF, Android, iOS and macOS.
Read on to find out why SciChart is perfect for big data and real-time chart applications.
Before SciChart was created, most chart components used default graphics libraries (provided by the Operating system) to draw charts, which resulted in poor performance when charting more than a few thousand datapoints
While most applications don’t need to show thousands or millions of data-points, some do. When SciChart v1 was created in 2012 there were no WPF Charts in the world which used Hardware Acceleration and most were limited to a few thousand points at most. This meant creating scientific or realtime charting applications was simply impossible
Immediately after releasing SciChart v1, we had loads of users report that previously impossible projects were now possible. SciChart Brought the ability to display Big Data and Realtime charts will millions of data-points to the Windows (WPF) platform for the First Time.
Further in 2020, We have invested in the development of our new cross-platform Visual Xccelerator engine, that works for all our charts on WPF, iOS Chart Library and Android Chart Library. The WPF charts rendering is now up to 100x faster and is capable of plotting of billion of points.
Our charts already provide cutting-edge data visualization for WPF, iOS, and Android applications, and our library is used by market leaders in the scientific and financial sectors to deliver unbelievable results.So, why do we strive to improve even further? Because we like to push the boundaries and limitations of chart drawing performance and exceed customer expectations time and time again.
A developer survey from StackOverflow in 2022 revealed that, for the tenth consecutive year, JavaScript is the most commonly used programming language. It is popular for many reasons, including its ease of use and ability to serve any device. Enterprises are consistently choosing to develop web apps as they are accessible from everywhere, and present little hassle to the end user.
Previously, needing to display millions of data points in a web app was considered a limitation. Most JavaScript big data visualization tools could only be presented in infographic-like charting, with only a few hundred to a few thousand data points.
That is why we created SciChart.js, a JavaScript/TypeScript charting library capable of rendering tens of millions of data points. SciChart.js enables the creation of web charts for decision-making.
With SciChart’s real-time, high-performance charts (iOS, Android, WPF, and JavaScript), you can draw millions of data points across platforms. Here are the results of some of the performance tests we have conducted:
4.84 Average - 419 ReviewsIn a recent campaign to solicit reviews from our customers, we were blown away by the magnitude of the response from customers giving us 5-star ratings. Many of the reviews and testimonials mentioned SciChart’s Performance.
Performance matters to our customers who are using SciChart in scientific, medical, engineering, and financial fields to create previously impossible applications, across platforms, on web (JavaScript), desktop (WPF, macOS), and mobile (iOS, Android).
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SciChart ships a number of performance demos to show you just what we can do. If you want to take a look at these demos, get your development team to download examples of our WPF, iOS, Android and Xamarin chart components.
Have a look at the case studies below where customers of SciChart WPF, iOS and Android used our high-performance charting libraries to create incredible apps using big data and real-time charting.
The University of Illinois departments of Bioengineering, Mechanical Science & Electrical Computer Engineering were researching alternatives to FT-IR for use in medical diagnostics. With their innovative Quantum Cascade Laser set up, they generated up to 100 million data points in real-time which needed to be displayed via heatmaps. Have a look at our case study to see how SciChart helped them create high-definition images for Diagnostic Tissue Imaging.
Revolve NTNU Norwegian University of Science & Technology is an independent student organization engaged in Formula Student, Europe’s most established educational motorsport competition. Creating new iterations of their race car every year, Revolve needed to be able to visualize the multi-stream, high-bandwidth data from hundreds of sensors in real-time to ensure top performance and allow for torque vectoring and testing of their car.
Avicena is a medical device company focused on providing critical information to patients and physicians through their mobile app which works in conjunction with their bespoke proprietary sensor platform, the Vivio. The Vivio streams live cardiovascular data directly to a mobile device via Bluetooth to aid in cardiovascular diagnosis. Avicena needed a reliable charting solution to display accurate, real-time, high-bandwidth cardiovascular data in up to 90 series streamed from their sensor device whilst maintaining a smooth UI and allowing for bespoke customizations and annotations.
Broctagon Solutions, part of the Brotagon Fintech Group, is a conglomerate with a specific focus on financial and technological solutions and specializes as a brokerage solutions provider. Broctagon needed to render, in real-time, the large multi-stream datasets inherent to the financial and trading sectors. They also needed to output in several different charting styles, such as OHLC and Candlesticks, alongside overlaid annotations, tooltips and multiple panes without sacrificing smoothness and increasing the end user experience.
Our high performance charting library is written by scientific software engineers. Our team comprises a high proportion of PhD- and Masters degree-educated developers who specialise in subjects such as applied mathematics, electronics, signal processing, engineering, computer science, and more.
We are experts in performance optimization and thought leaders in cross-platform, real-time 2D & 3D graphics, and charting. We have been working on charting full-time since 2012, and our first high-performance .NET charts were written by our founder in 2005. We are the right team to deliver big data and high-performance, real-time charting to your JavaScript, WPF, macOS, iOS, Android and Xamarin applications.
Queens Award for Innovation
Proud winners of the Queens Award for Innovation, 2019. Awarded on account of our innovative graphics engine which underpins the SciChart library and enables our world-beating charting performance
National Business Awards
Highly Commended for Lloyds National Business Awards, 2019. Awarded on account of our innovative graphics engine and impressive customer base
Reviews
SciChart has received hundreds of verified, 3rd party reviews
