Wearables Python Packages

scikit-digital-health

Python package for the processing and analysis of Inertial Measurement Unit Data

stepcount

Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers

actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

omh-shim

Convert wearable health data from vendor schemas to Open mHealth schemas.

reflex-junction

Reflex custom component wrapping @tryvital/vital-link and integrating the Junction (Vital) health data SDK

asleep

asleep: a sleep classifier for wearable sensor data using machine learning

flirt

Are you ready to FLIRT with your wearable data?

circstudio

Python package for preprocessing, modeling, and analyzing actigraphy time series.

polar-flow-api

Modern async Python client for Polar AccessLink API. Full V3 API coverage with type safety.

pynhanes

Python parser and scraper for NHANES accelerometry and questionnaire

xg-glass

One API for smart-glasses apps - camera, mic, display, audio - across Rokid, Meta, Brilliant Labs Frame, RayNeo, Omi, and a simulator. Android, iOS, and CLI

wearablehrv

A Python package for the validation of heart rate and heart rate variability in wearables

mhealthdata

Wearable health data to NumPy

clawhealth

Health data bridge for OpenClaw (Garmin and friends)

wearablecompute

wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.