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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.
Desktop application for merging multiple SDF files into a single SDF
...Batch Processing: Automatically finds and merges all SDF files in a selected folder
3. Real-time Progress Tracking: Visual progress bar and status updates during merging
Technical Specifications:
1. Language: Python 3
2. GUI Framework: Tkinter
3. Chemistry Library: RDKit for chemical data processing
4. File Formats: Input/Output in SDF format
Citation
Md. Ismiel Hossen, A. (2026). SDF Merger: A Desktop and Web Tool for Merging Chemical Structure Data Files (v1.1). Zenodo. https://doi.org/10.5281/zenodo.18291398
MIVF - Medical Imaging and Visualization Factory,
is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.
A laboratory information management system (LIMS) geared towards academic research groups in the life sciences. Written in Python and using the Django framework, you run this software on your own server.