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Qt for Advanced Visualization Development

Qt is a cross-platform application framework.  With its easy integration with OpenGL®, high application performance and cross-platform portability, Qt has become a leading framework for developing advanced visualization software.

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Creating Cross-Platform Visualization UIs with Qt and OpenGL®

 

Why use Qt for advanced visualization development? 

  • Qt integrates easily with standard 3D graphics APIs like OpenGL®  While OpenGL is ideal for 3D data visualization, it offers little support for user interface programming. Qt solves this by providing a tight integration with OpenGL.

  • Qt applications are fast, native and hardware-accelerated
    Applications built with Qt are native, compiled C++ and take advantage of system hardware for maximum application performance. 
  • Qt is cross-platform. The Qt API and tools are consistent across Windows®, Mac® and Linux®, so you can write code once and deploy your application across several platforms.
  • Qt is a proven framework for building advanced visualization software. Qt is used by companies serving a range of industries – from oil and gas and simulation to flow modulation and medical imaging – to develop leading data visualization software. 

Screenshot - NextLimit

screenshot - CSWave
 

Learn More: Download a Free Whitepaper

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Creating Cross-Platform Visualization UIs with Qt and OpenGL®
[PDF: 17 pages]

 

Scientific visualization, medical imaging, flight simulation, flow modeling, animation, gaming and visual effects are all areas in which high performance 2D and 3D graphics applications are in high demand. Standard graphics APIs like OpenGL® are ideal for complex graphics rendering, but offer little support for programming the user interfaces to serve these diverse markets.

In this paper, we will discuss the common challenges faced by developers of visualization software, and present techniques for easily integrating advanced 2D and 3D graphics into native, high-performance applications.  Using the Qt® application framework, we will demonstrate how these techniques speed visualization development, and enable deployment across multiple operating systems from a single base of source code.


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