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Analysis package for actigraphy data

Project description


Open-source python package for actigraphy data analysis.

This package is meant to provide a comprehensive set of tools to:

  • read actigraphy raw data files with various formats

  • calculate typical wake/sleep cycle-related variables (ex: IS, IV, …)

  • perform complex analyses (ex: FDA, SSA, HMM, …)


  • python 3.X

  • joblib

  • pandas

  • numba

  • numpy

  • pyexcel

  • pyexcel-ods3

  • scipy

  • statsmodels


In a (bash) shell, simply type:

  • For users:

pip install pyActigraphy

To update the package:

pip install -U pyActigraphy

It is strongly recommended to use the latest version of the pyActigraphy package.

  • For developers:

git clone
cd pyActigraphy/
git checkout develop
pip install -e .

Quick start

The following example illustrates how to calculate the interdaily stability with the pyActigraphy package:

>>> import pyActigraphy
>>> rawAWD = + 'SUBJECT_01.AWD')
>>> rawAWD.IS()
>>> rawAWD.IS(freq='30min', binarize=True, threshold=4)
>>> rawAWD.IS(freq='1H', binarize=False)


There are plenty of ways to contribute to this package, including (but not limiting to):

  • report bugs (and, ideally, how to reproduce the bug)

  • suggest improvements

  • improve the documentation

  • hug or high-five the authors when you meet them!


See also the list of contributors who participated in this project.


This project is licensed under the GNU GPL-3.0 License - see the LICENSE file for details


  • Aubin Ardois @aardoi developed the first version of the MTN class during his internship at the CRC, in May-August 2018.

  • The CRC colleagues for their support, ideas, etc.

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