Do you need to deal with wearable data? Then you are in the right place! In this repository you will find a Python package that you can use to analyse all data collected with several data sources. At the moment, we support:

• Labfront
• LifeSnaps Dataset

The aim of this Python package is to offer a series of functions for the loading and analysis of the data. Furthermore, the aim is to build a command line interface (CLI) for data extraction and a web-based dashboard for:

• visualization of physiological data
• automatic analysis of data with feature extraction
• summary of data

At this stage of development, the package is still not uploaded to PyPi, and thus can be only be installed through a local installation:

1. Clone the repository with git clone [email protected]:dado93/pywearable.git
2. cd pywearable
3. pip install --editable .

The package was designed to be used in the most straightforward way:

import pywearable.loader

_BASE_FOLDER = "..." # Path to folder with data downloaded from Labfront

labfront_loader = pywearable.loader.LabfrontLoader()
sleep_summaries = labfront_loader.load_garmin_connect_sleep_summary("user-01")

The format for documentation is numpy-style. The documentation of the package can be built locally using sphinx.

1. cd docs
2. make html
3. Open in your browser the file index.html that you can find in docs/_build/html