TrackArt is a Python port of a MATLAB tool for analyzing and simulating single-particle tracking data. It brings the original workflow into a desktop application, with five connected modules for trajectory simulation, data import and filtering, mean square displacement analysis, cumulative probability distribution fitting, and final population fitting. Built on NumPy, SciPy, Matplotlib, and Tkinter, it is designed to make the analysis accessible while preserving the structure of the original software.

The project supports simulations of diffusing particles, state switching, and motion across domains, as well as importing particle-tracking data and exploring trajectories through interactive plots and filters. Its analysis tools include normal, anomalous, confined, and active diffusion models, along with one-, two-, and three-population fits. Researchers can use the modules together to move from trajectories to estimates of diffusion coefficients and population fractions.

A central goal of the port is to make results comparable with TrackArt’s MATLAB version while also addressing several numerical issues in the original implementation. A legacy-behavior option preserves selected original behaviors, and automated tests check numerical recovery and regression cases. The project is released under GPL v3.