| Basic Numerical Computation |
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NumPy: Basic scientific computing in Python |
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SciPy: Algorithms for scientific computing in Python |
| Generic Visualization |
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Qt: Cross-platform application and UI framework
PySide6: Qt for Python |
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PyQt: Qt Python binder |
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VTK: The Visualization Toolkit for visualizing 2D and 3D images and models
VTK Python: VTK Python package
Qt/VTK: Qt module for VTK/Python
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| Mesh and 3D Modeling |
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MeshLab: Mesh model viewing and manipulation |
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PyVista: 3D visualization and mesh processing built on VTK |
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OpenMesh: mesh manipulation |
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CGAL: computational geometry algorithms library |
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PyMesh: Geometry processing library |
| |
Libigl: Geometry processing library |
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Open3D: Library for 3D data processing |
| DICOM Segmentation and Registration |
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ITK: Insight Segmentation and Registration Toolkit
ITK-Snap: Level set segmentation
ITK Python: ITK Python package
|
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3D Slicer: DICOM image computing and viewing (Windows, MacOS, Linux) |
| Machine Learning |
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scikit-learn: Machine learning in Python |
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PyTorch: Machine learning library for computer vision and NLP |
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TensorFlow: Software library for machine learning and AI |
| Numerical Software / Libraries |
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VXL: C++ Libraries for Computer Vision Research and Implementation
VNL: C++ algorithms for matrices, vectors, decompositions, optimisers |
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Armadillo: C++ linear algebra library |
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Numerical Recipes: C/C++ libraries for numerical algorithms |
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GSL: GNU Scientific Library for numerical algorithms (C/C++) |
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TAUCS: C library for efficient sparse linear solvers |
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Netlib: FORTRAN mathematical software, papers, and databases |
15 March 2024 |
