Introduction

Trajectory classification is a challenging task and fundamental for analysing the movement of nanoparticles, bacteria, cells and active matter in general.

We propose TrajPy as an easy pythonic solution to be applied in studies that demand trajectory classification. It requires little knowledge of programming and physics to be used by nonspecialists.

TrajPy is composed of three main units of code:

• The training data set is built using a trajectory generator

• Features are computed for characterizing the trajectories

• The classifier built on Scikit-Learn.

Our dataset and Machine Learning (ML) model are available for use, as well the generator for building your own database.