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

nimbus-mcp

MCP server for Nimbus BCI — AI agents build, train, and analyze EEG/BCI pipelines (datasets, models, experiment campaigns, live sessions)

omi-sdk

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

ephys-mcp

MCP server for read-only analysis of intracortical (spike-level) brain-computer-interface recordings

pieeg-server

One-line install for real-time biosignals: acquisition, processing, streaming, recording, visualization, and applications.

explorepy

Python API for Mentalab biosignal aquisition devices

eegsynth

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

pybci-package

Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

pyntbci

The Python Noise-Tagging Brain-Computer interfacing (PyntBCI) library is a Python toolbox for the noise-tagging brain-computer interfacing (BCI) project developed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands

bcipy

Python Brain-Computer Interface Software

timeflux

The programming interface for your body and mind

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.

mne-rt

Real-time M/EEG signal processing

omi-cli

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

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.

happyfeat

A framework for simplying BCI workflow in clinical applications

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.

falcon-neuro

A modular and extensible software framework for soft real-time signal processing, originally designed for short-latency closed-loop neural applications.

neurol

A framework for implementing modular Brain-Computer Interfaces

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.

wizardhat

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

p3k

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