Bci Python Packages

moabb

Mother of All BCI Benchmarks

brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

timeflux

The programming interface for your body and mind

omi-cli

Command-line interface for Omi — talk to memories, conversations, action items, and goals from your terminal.

p3k

P300 speller offline analysis recorded with Openvibe and BCI2000. Using python-MNE

explorepy

Python API for Mentalab biosignal aquisition devices

eegsynth

Converting real-time EEG into sounds, music and visual effects

bcipy

Python Software for Brain-Computer Interface Development.

pyntbci

Python Noise-Tagging Brain-Computer Interface (PyntBCI)

omi-sdk

AI that sees your screen, listens to your conversations and tells you what to do

pybci-package

A Python interface to create a BCI with the Lab Streaming Layer, Pytorch, SciKit-Learn and Tensorflow packages

ssvepanalysistoolbox

Python package for SSVEP datasets and algorithms. Corresponding paper has been accepted by IEEE TNSRE (DOI: 10.1109/TNSRE.2024.3424410)

openbci-interface

Python based OpenBCI driver.

metabci

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

happyfeat

A framework for simplying BCI workflow in clinical applications

wizardhat

Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.

neurol

A framework for implementing modular Brain-Computer Interfaces

frequency-max-power

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

mne-denoise

Denoising Source Separation (DSS) and ZapLine algorithms for MNE-Python.

min2net

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

hermes-eeg

EEG/BCI neural interface plugin for Hermes Agent — OpenBCI hardware + real-time emotion detection + AI-readable felt experience format

spectral-edge-density

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

spectral-centroids

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers

stftsignal

Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers