NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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Updated
Oct 13, 2025 - Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
CS198-96: Intro to Neurotechnology @ UC Berkeley
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
Myo armband electromyographic readings dataset for various wrist gestures
PyoMyo - Python Opensource Myo armband library
Low Cost Electroencephalogram Based Brain-Computer-Interface
Biosignal Processing in Python
The programming interface for your body and mind
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
Python API for Mentalab biosignal aquisition devices
Android Myo library with full data access and support for multiple Myos.
A dataset with 40+ hours of sensor data obtained from 10 players in League of Legends
A package for decomposing multi-channel EMG signals into individual motor unit activity.
A feature extraction toolbox for EMG signals written in MATLAB
Improved sEMG-based gesture recognition
Chords is a web application that transforms your Arduino board into a powerful bio-potential signal acquisition tool, allowing you to visualize and record ECG, EMG, EOG, and EEG data directly in your browser.
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