New Data Visualization Templates for Application Development
Kickstart your mobile, web & desktop app development with 10+ free templates for iOS, ASP.NET, Xamarin, and more!
Easily integrate LightningChart JS charting library into your development project
The new data visualization templates are part of a series of 10+ templates that’ll ease the development and integration of the LightningChart JS powerful charting controls into your mobile, web, and desktop application.
These new templates serve as a starting point for your data-driven projects to visualize complex and large amounts of data using all the state-of-the-art features of the LightningChart library for JavaScript.
ASP.NET, iOS, Xamarin, Uno Platform, and Electron are five more frameworks that we’ve just added to the LightningChart JS templates for development which you can select a template from and build your own solution on top of it.
Frameworks Available for the Data Visualization Templates
See more news
LightningChart .NET v.12.6.1
LightningChart .NET v.12.6.1 is out now!Features of LightningChart® .NET version 12.6.1In this release we added new features, made several improvements and fixed dozens of errors. We upgraded target framework (from .NET 8.0 to 10.0), added Universal-Data-Parser...
Trend Lines in Trading
Trend lines are among the simplest yet most powerful tools in technical analysis. They help traders visualize market direction, identify potential support and resistance levels, and make more informed trading decisions. Despite their simplicity, trend lines remain a...
Announcement: Baumer as LightningChart customer
Enabling High-Performance Visualization of Industrial Sensor Data with LightningChartDiscover how Baumer uses LightningChart to configure and visualize data from a wide variety of industrial sensors and create responsive, data-rich visualization...
Best Python Charting Library in 2026
Python's charting ecosystem is large, overlapping, and regularly misunderstood. Most comparison guides stop at Matplotlib, Plotly, and Seaborn. This one goes further: it covers what happens when your datasets grow large, your update rates increase, or your chart types...
If you have any questions, feel free to contact us!