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Miscellaneous functions for tracking analysis in Python using DeepLabCut at Physics for Medicine

Project description

Pypi Package zenodo physbeh version Python Build Ruff

PhysBeh

This repository contains the main function and classes written in Python for analysis of tracking data in the Physics for Medicine lab.

The code is written in the format of a Python package (physbeh).

This is the core package used for the behavioral analysis in the following paper:

  1. Cybis Pereira, F., Castedo, S.H., Meur-Diebolt, S.L., Ialy-Radio, N., Bhattacharya, S., Ferrier, J., Osmanski, B.F., Cocco, S., Monasson, R., Pezet, S., et al. (2026). A vascular code for speed in the spatial navigation system. Cell Reports 45. https://doi.org/10.1016/j.celrep.2025.116791.

This package was implemented for easily manipulation of DeepLabCut output data. Today there are more structured and well-maintained packages for this purpose, such as movement <https://github.com/neuroinformatics-unit/movement>.

Installation

physbeh can be installed from PyPI normally with pip install physbeh. Or you can install it from source

1. Install PhysBeh from source

python -m pip install git+https://github.com/FelipeCybis/physbeh.git

2. Check installation

Check that all tests pass:

import physbeh

If no error is raised, you have installed PhysBeh correctly.

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