Search Results for "qt framework"

The MITK Workbench is a free, open-source application for medical image visualization, segmentation, registration, and much more. Beyond the Workbench application, MITK is a comprehensive C++ framework for medical image computing. It provides a modular foundation for extending the MITK Workbench with custom plugins or developing your own medical imaging applications and research prototypes.

NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation.

z9 is a simple client-server ERP framework, based on a Python/PyQt modular smartclient and a PHP+SQL RESTful web service, created for the "opificio zeronove" bike shop application.

OpenSQUID is a Python framework for the control of SQUID (superconducting quantum interference device) readout electronics. It currently supports the Star Cryoelectronics PCI-1000 electronics with PFL-100 and PFL-102 flux-locked loops. Simultaneous operation of both PFL-100s and PFL-102s from a single PCI-1000 is supported. More features are under development. The software is implemented in Python and aims to be easily integrated with user-defined measurement and control code.

This project is intended to serve as a framework for developing plugin system with internal hierarchical storage of objects coming from plugins. Plugins contains objects and commands. All functionality of kernel and plugins are to be exported to Python.

PyDADL stands for Python Distributed Application Development Library, it's a framework that aims to be a helper for GUI development and deployment. PyDADL uses Qt as graphical toolkit.

The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.