Heart Rate Python Packages

neurokit2

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

bleakheart

An asynchronous BLE Heart Monitor library with support for additional data from Polar monitors (ECG, accelerometers, etc)

garmin-health-data

A simple Python CLI to download Garmin Connect data as local files and load them into a SQLite database for analysis

biopeaks

A graphical user interface for feature extraction from heart- and breathing biosignals.

vitallens

Python package for estimation of vital signs such as heart rate, HRV, and respiratory rate from face video.

whoop-data

Simple PIP library to access Whoop Web App's internal API to read sleep, sports and heart-rate data

phyaat

PhyAAt: Physiology of Auditory Attention - Processing Library

garmin-ble

Talk to your Garmin watch over its proprietary BLE protocol from Python: no cloud, no phone, no Garmin Connect.

wearablehrv

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

pyvhr

Python framework for Virtual Heart Rate

neurokit2cw

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

ecg-qc

A library to compute ECG signal quality indicators

neurokit

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

pyvhr-cpu

Python framework for Virtual Heart Rate

physiodsp

A comprehensive Python library for processing and analyzing physiological sensor data

samsung-health-sdk

Python SDK for parsing Samsung Health exports — DataFrames, feature engineering, ML-ready datasets & interactive HTML dashboards

vg-beat-detectors

Fast and sample-accurate R-peak detectors based on Visisbility Graphs

vidmag

Eulerian Video Magnification in hand-written CUDA: up to 1,650x faster than the NumPy baseline (motion pipeline, half precision, compute-only on an RTX 3090). Five more backends (Metal, Vulkan, OpenCL, PyTorch, NumPy) so it runs without an NVIDIA card, every one checked against the original authors' published output.