sleep-analysis

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

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

U-Time: A Fully Convolutional Network for Time Series Segmentation

Sleep As Android integration for Home Assistant

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

Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.

An open-source sleep stage classification Python package

Analyzing all of my Quantified Self data

A lucid dreaming device with REM detection that triggers audio cues to promote lucidity. Like having a private sleep lab technician that watches you sleep and alerts you when you are dreaming.

A toolbox for sleep data analysis and sleep stage classification. If you use SLEEPYLAND in your research, please cite:  Rossi, A.D., Metaldi, M., Bechny, M. et al. SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models. npj Digit. Med. 9, 55 (2026). https://doi.org/10.1038/s41746-025-02237-2

Free, open-source airway analysis for ResMed CPAP/BiPAP data

Luna software for sleep EEG analysis (base)

The world's first open-source bipolar & depression detector powered by your Apple Health data.

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

Linux and Mac OSX compatible script to pull CPAP Data from an Airsense 10/11 for review in Oscar/Sleep HQ.

Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis

A systems-level analysis engine that models sleep as a recovery debt process rather than a nightly outcome. Using physiological traits and ecological pressure signals, it estimates predicted sleep need, quantifies sleep debt, and visualizes how stress accumulates silently before visible fatigue or failure occurs.