NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Biosignal Processing in Python

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

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

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

The programming interface for your body and mind

[NeurIPS 2025] PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

EntroPy: complexity of time-series in Python (DEPRECATED)

Biosignal Processing in Python

Systole: A python package for cardiac signal synchrony and analysis

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

Documentation for Reproducing & Using the OpenBCI cEEGrid Adapter

Python API for Mentalab biosignal aquisition devices

Interpretable Pre-Trained Transformers for Heart Time-Series Data

A Python package for the analysis of biopsychological data.

A Unified Framework for Benchmarking Generative Electrocardiogram-Language Models (ELMs)

PhysioKit: Open-source, accessible Physiological Computing Toolkit [Sensors 2023]

This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".