3Dgitter

3Dgitter is an open-source software tool designed for the visualization and analysis of three-dimensional (3D) point cloud data. Developed primarily for use in computational fluid dynamics (CFD) and other scientific simulations, it provides users with an intuitive interface to explore complex datasets generated from simulations or experimental measurements.

The software is particularly well-suited for handling large-scale point clouds, which are collections of data points in space representing surfaces or volumes. 3Dgitter allows users to visualize these datasets in real-time, enabling them to inspect geometric structures, identify anomalies, and perform quantitative analyses. Key features include slicing, clipping, and coloring of point clouds based on scalar or vector fields, which are useful for understanding flow patterns, stress distributions, or other simulation results.

Developed in C++ with a focus on performance and modularity, 3Dgitter supports various input formats, including those generated by popular CFD solvers like OpenFOAM. Its open-source nature encourages community contributions, making it adaptable to different research and industrial applications. The tool is often used alongside other scientific visualization software to provide specialized insights into complex 3D data.

While primarily targeted at researchers and engineers, 3Dgitter’s simplicity and efficiency also make it accessible to students and professionals in fields requiring advanced data visualization. Its lightweight design and cross-platform compatibility (supporting Windows, Linux, and macOS) further enhance its usability in diverse computational environments.