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

explorepy

Python API for Mentalab biosignal aquisition devices

mne-rt

Real-time M/EEG signal processing

eegsynth

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

omi-sdk

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

bci-mcp

Stream live EEG brain state (focus, calm, attention) from any EEG device into Claude and any MCP client — a real Model Context Protocol server + brain-computer interface toolkit.

modlink-studio

A driver-pluggable desktop host for multimodal data acquisition. Connect any device, preview live streams, record synchronized sessions, replay and export. Built on Python and Qt Widgets.

bcipy

Python Brain-Computer Interface Software

omi-cli

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

pyntbci

Python Noise-Tagging Brain-Computer Interface (PyntBCI)

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.

openbci-interface

Simple interface to OpenBCI hardware

mne-denoise

mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while preserving signal rank and interpretability.

ssvepanalysistoolbox

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

happyfeat

Package for HappyFeat

neurol

A package for modularly implenting Brain-Computer Interfaces

min2net

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

wizardhat

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

frequency-max-power

A Python library for calculating frequency_max_power

spectral-centroids

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

p3k

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