SciChart® the market leader in Fast WPF Charts, WPF 3D Charts, and now iOS Charting & Android Chart Components
Why SciChart? High Performance, Big Data, Realtime Charts
WHY SCICHART?
Big Data & Realtime Charting
At SciChart we focus on speed and performance first. Our charts are engineered to be the fastest possible to allow demanding scientific, engineering and financial apps across platforms (WPF, iOS, Android, Xamarin).
Read on to find out why SciChart is Perfect for Big Data & Realtime Chart Applications
// Why Charting Performance Matters
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
Why does this matter?
- 2011: Fastest WPF Chart Controls ~ 20,000 Points
- 2012: SciChart WPF version 1 ~ 100,000 Points
- 2016: SciChart Version 4 ~ Tens of Millions of Points
- 2012: Fastest iOS/Android Chart Controls ~ 1,000 points
- 2012: Fastest iOS/Android Chart Controls ~ 10,000 points
- 2017: SciChart iOS/Android v2 ~ millions of Points
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.
In 2017, We have developed our High Performance Realtime Charts even further, Our Charts for Windows, iOS and Android are able to draw many millions of data-points realtime.
This makes SciChart the Perfect Choice for Big Data, & demanding applications requiring high-performance charts on the Windows and Mobile platforms.
// What do customers say about SciChart’s Performance?
In 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 Windows (WPF), mobile (iOS Android) and Xamarin.
// SciChart’s Performance Statistics
Across platforms with SciChart (iOS, Android, WPF) you can draw millions of data-points with our real-time, high performance charts. Have a look below
at performance tests which we have performed.
SciChart WPF Performance
- Display 1M Points at 60 FPS
- Display 10M points at 30 FPS
- Display 500 series at 38 FPS
- Display 250K Scatter points at 38 FPS
- World Class Charting Performance
SciChart iOS Performance
- Display 100k Points at 60 FPS
- Display 1M points at 18 FPS
- Display 200 series at 30 FPS
- Display 25K Scatter points at 24 FPS
- Up to 12x faster than the nearest competitor
SciChart Android Performance
- Display 100k Points at 60 FPS
- Display 1M points at 18 FPS
- Display 200 series at 46 FPS
- Display 25K Scatter points at 24 FPS
- Up to 2.25x faster than the nearest competitor
// Performance Demos
We ship a number of performance demos with SciChart to show you just what we can do. If you want to take a look then get your development team to download our examples for our WPF, iOS, Android and Xamarin Chart Components which contain our performance demos!
// Big Data Customer Success Stories
There’s more! Have a look at the case studies below where customers of SciChart WPF, iOS and Android have used our high performance charting libraries to create incredible apps using big-data and real-time charting.
Illinois University (WPF)
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.
Avicena Heart (iOS)
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 Realtime, 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.
Revolve MTMU (WPF)
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 each year, Revolve needed to be able to visualization their multi-stream, high-bandwidth data from their hundreds of sensors in Realtime to ensure top performance and allow for torque vectoring and testing of their car.
Brotagon Solutions (Android)
Broctagon Solutions, part of the Brotagon Fintech Group is a conglomerate with a specific focus on financial and technological solutions specializing as a brokerage solutions provider. Broctagon needed to render in real time the large multi-stream datasets inherent to the financial and trading sectors. Outputting 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.Ongoing Optimization
A chart component is so much more than drawing lines and shapes on the screen. Across platforms (WPF, iOS, Android), at every step of the way during the rendering pipeline of SciChart, we employ extreme performance optimisation techniques.
These include:
- Optimal Data Structures for fast RAM access
- C++ Interop for performance critical sections
- Data-resampling for Time Series
- Efficient Indexing Algorithms such as Binary Search
- Hardware Acceleration (OpenGL, DirectX)
- Efficient Memory Management
- Avoiding Boxing/Unboxing in Managed Languages
- Frequent Memory & performance Profiling
SciChart employs many novel graphics technologies to achieve it’s incredible performance. In WPF (Windows) we mix DirectX Textures and WPF content to work around the bottleneck of WPF drawing. We do the same with OpenGL in iOS/Android and Xamarin Charts. We continue to optimize our charts with every release to ensure that they stay the fastest they can possible be!
Our High Performance Team
Our charting software is written by scientific software engineers with a high proportion of PhD Educated ./ Masters Degree educated developers on the team, 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 the company owner wrote his first high performance .NET charts in 2005! We are the right team to deliver Big Data & High PErformance Realtime Charting to your WPF, iOS, Android and Xamarin applications.