SciChart is a renowned software boutique for award-winning cross-platform charting libraries for business and scientific purposes. Unprecedented real-time charts with a virtually unlimited number of data points have won popularity with thousands of clients in 80 countries. Thanks to this international success, the company has been steadily growing for more than ten years without external investment. The product has a wide range of applications across many industries - Medical, Automotive, Trading, Investment Banking, Oil & Gas, Pharmaceutical, Process Automation, Instrumentation, Defense, Motorsport, Mining, Aerospace. SciChart continues to drive innovation in the data visualization realm and extend the boundaries.
In 2010, chart components used default graphics libraries embedded in the OSs, which led to poor performance if the number of data points exceeded several thousand. It made visualization of large amounts of data, and thus the creation of scientific or real-time charting applications impossible. Creating a tool that would enable visualizing millions of data points on the screen with excellent user experience, smooth integration with other apps was a complex task due to software limitations.
To achieve this goal, we used fast bitmap drawing in SciChart version 1, which made previously impossible projects a reality. Numerous improvements have followed.
Together with the SciChart team, we have developed a cross-platform Visual Xccelerator ™ engine and a set of libraries (desktop, mobile, web) that allows processing billions of data points and thus visualization of real-time and high complexity big data. Now SciChart is a software development kit that allows easy and seamless inclusion of charts and graphs in an application. It has many useful features, like zooming, panning and other interactions, markers, annotations, and many more. Constant updates ensure its high reliability. SciChart is a tool, not an application, so it does not have access to clients' data.
WPF - 50 both 2D and 3D chart types; also, iOS - about 30 and Android – about 30 both 2D and 3D chart types.
The fastest charts possible enable demanding scientific, engineering and financial apps across platforms (WPF, iOS, Android, Xamarin).
Four out of the box basic animation types: Fade, Sweep, Scale, and Wave Animations. Flexible API gives control over the start and finish of the animation, start delay, duration, and allows multiple adjustments to its behavior.
X-axis can be placed at the Top or bottom, and Y axis - on the Left or Right. Several axes on one side are also possible.
A powerful Annotations API allows overlaying lines, arrows, boxes, text and more over the chart. Custom annotations are possible too. Interaction with annotations: the user can click on annotation, drag it and resize.
8 stunning themes in Theme Manager, applied to the charts with a single line of code. Themes affect default cursor, zoom, axis, grid and series colors.
The charts are getting progressively easier for developers to use, thanks to constant negative feedback analysis. The aim is to improve each iteration of SciChart, making it more time- and cost-efficient.
The three cases below provide an example of business value SciChart tools created for customers across industries:
1. A customer wanted to build a mobile device for medical industry (for Android OS) that measures the performance of breathing ventilators. SciChart developed an Android charting library to display real-time charts on ultra-low-power hardware. As a result, the customer was able to bring the device to the market with good timing and at a very competitive price.
2. A large Quantitative Trading firm had difficulty integrating the charting tool into their trading analytics app, which led to its poor performance. SciChart produced an effective big data solution, which allowed custom visualization of trading information from 150 markets and 20 years of intraday data.
3. A large Quantitative Trading firm had difficulty integrating the charting tool into their trading analytics app, which led to its poor performance. SciChart produced an effective big data solution, which allowed custom visualization of trading information from 150 markets and 20 years of intraday data.
4. A large Quantitative Trading firm had difficulty integrating the charting tool into their trading analytics app, which led to its poor performance. SciChart produced an effective big data solution, which allowed custom visualization of trading information from 150 markets and 20 years of intraday data.
SciChart's fast and convenient data visualization has made possible thousands of projects and underpinned the success of thousands of projects. The customers, empowered by the SciChart solutions, develop products that save lives in the medical sphere, enable scientific discoveries, support high accuracy and advanced analytics in finance, enable victories in formula one races. The Queen's Award acknowledged SciChart's passion for innovation in 2019, as well as the Lloyds bank award in 2019. The product is highly intuitive and friendly to users, with 98% of them recommending SciChart as the best option on the market.
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