VortexFitting is a post-processing tool for identifying and characterizing vortices in fluid dynamics datasets. Version 2.0 introduces significant enhancements including a wxPython-based graphical user interface for improved usability, parallelization capabilities achieving up to an 83% reduction in computation time, and expanded theoretical models (Rankine and Batchelor vortex models). High-order numerical schemes implemented via scipy improve accuracy and extensibility. The software has been validated on large-scale datasets from publicly available turbulence databases. These improvements make VortexFitting more accessible and efficient for analyzing complex flow structures in both experimental and computational fluid dynamics.
Devaux et al. (2026) studied this question.