Brain Computer Interface Python Packages

pyriemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

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)

pycbsdk

Blackrock Neurotech Cerebus Link for Neural Signal Processors

pieeg-server

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

explorepy

Python API for Mentalab biosignal aquisition devices

mneflow

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

cerelink

Blackrock Neurotech Cerebus Link for Neural Signal Processors

pybci-package

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

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

opencortex

OpenCortex is a fully-featured EEG streamer for BCI applications

axopy

A Python Library for Implementing Human-Computer Interface Experiments

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

neurigui

NeuriGUI is a modular, cross-platform and FOSS app for exploring electrophysiological signals in real-time - print("Hello, Volt!")

spectral-edge-density

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

spectral-centroids

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

neurocomputers

NeuroBridge API — 123 endpoints, 55+ analysis modules for brain organoid data. Organoid IQ, STDP, attractors, consciousness metrics, and more.

transfer-entropy-all-signals

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