SmithDR (Scientific Multi Imaging Tool Handled by a DAG layeR) - Scientific Computing Framework

SmithDR is a scientific computing framework for research and development in computational geometry, scientific visualization, and medical imaging. It provides tools for 3D mesh processing, multidimensional image analysis, and high-precision numerical computation.
At its core, SmithDR uses a modular data-flow architecture based on Directed Acyclic Graphs, making it possible to build complex processing pipelines from reusable components. Its plugin system allows the framework to be extended at runtime through shared libraries, with automatic plugin discovery and registration.
SmithDR supports a broad range of data types, from standard numeric types such as float, double, long double, int, and uint, to high-precision and exact arithmetic types such as MPFR and CGAL number types. It includes dedicated data structures for triangular 3D meshes and multidimensional images, with flexible systems for managing associated attributes.
The framework can be extended with different kinds of plugins, including mesh and image processing algorithms, data loaders and savers, and user-interface widgets. Its template-based design helps ensure type safety while keeping the system flexible enough to handle diverse scientific data and processing workflows.

Forge:

JS?

For any comment, remark or bug report, please contact: JS?

Several people have written code for this project. They are identified as members of the SmithDR team, as appears in source files.

The SmithDR team:

Jérôme Charton, Cédric Aguerre, Pascal Desbarats, Benoît Recur

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