LightningChart® .NET v.10.1.1 – Ultimate performance release. 16 billion data points in real-time!
The newest version of LightningChart® v.10.1.1 has been released on June 17, 2021, and we are excited to communicate to you everything that’s new!
A Major Breakthrough Release
LightningChart NET version 10.1.1 focuses heavily on improving the already great performance capabilities. Some of the improvements that were included in this release were a major enhancement in line series for real-time monitoring and user’s interactions with IntensityGridSeries and PointLineSeries3D.
Additionally, there is an improved performance when 1000’s AnnotationXY and Polar Sectors are implemented.
Unbeatable High-Performance
When talking about scientific and big data visualization in real-time, LightningChart® previous version had already an astonishing rendering capacity of 8 billion data points yet WE WERE NOT SATISFIED! The newest LightningChart NET version 10.1.1 increases its rendering performance to 16 billion data points in real-time using a mid-level desktop PC. See the full performance results here.
Moreover, the user experience of v.10.1.1 allows the end-user to scroll and sweep a dozen of screens with thousands of lines all open and operating simultaneously.
That’s what we called real-time BIG DATA!
Can your computer run LightningChart® v.10.1.1?
The answer is extremely like yes as the newest version has significantly reduced the resource consumption when zooming and panning heatmaps, making it 100x faster. Additionally, the CPU load has been reduced from an 80% to 20%.
Innovative Improvements: SampleDataBlockSeries a new & super-fast line series
One of the new additions LightningChart® v.10.1 brings with it, is SampleDataBlockSeries. We define the SampleDataBlockSeries as the best series type to visually interact with data as it happens. The strengths of the SampleDataBlockSeries are:
- Very low variations in refresh intervals.
- A smooth monitoring experience, (much better than its predecessor SampleDataSeries).
- A considerably lower RAM and CPU resource consumption.
- A higher FPS rates.
- A Significantly better user-interaction responsiveness.
Concretely, the SampleDataBlockSeries achieve an 860% memory consumption and a 5100% CPU overhead decrement, meaning that data will have a more consistent flow to screen and a smoother visualization.
The SampleDataBlockSeries line series type is particularly implemented in medical monitoring, industrial applications, and vibration analysis.
Additional Advancements
LightningChart NET version 10.1.1 introduces the Stochastic Oscillator and the Money Flow Index technical indicator for trading charts.
Check out the changelog for full detailed information about all the improvements in new version 10.1.1!
Happy Coding!
See more news
Best Telerik Charts Alternative in 2026: GPU Performance for WPF, WinForms, and Web
Telerik from Progress is a comprehensive UI component suite covering WPF, WinForms, ASP.NET, Blazor, and JavaScript. The charting components: RadChartView for WPF and WinForms, and Kendo UI Charts for web and Blazor, arrive bundled with the suite purchase. For teams...
Streaming Data Visualization with WebSockets (2026): The Complete Tutorial
Every WebSocket tutorial on the internet shows the same thing: a server sends a random number every second, a chart updates. It works. The demo looks great. Then you deploy to production, your IoT sensors push 800 updates per second across twelve channels, and the...
Best ScottPlot Alternative in 2026: GPU Rendering, 3D Charts, Cross-Language Support
ScottPlot is genuinely excellent for what it is: a free, MIT-licensed, actively developed .NET plotting library with an honest focus on interactive large-dataset display. The GDI+ rasterized renderer — which draws the entire chart as a pixel bitmap rather than...
Using Fibonacci Tools in Trading: A Practical Guide for Market Analysis
Using Fibonacci Tools in Trading: A Practical Guide for Market AnalysisTechnical traders rely on various tools to identify potential support, resistance, and price targets. Among the most widely used are Fibonacci tools, which are based on the mathematical sequence...
