MNE Integration#

MNE is a comprehensive ecosystem for working with neurophysiological data. Use these integrations to analyze EEG data from Wearable Sensing devices with powerful Python tools.

Getting Started#

Installation Required

Each integration requires separate installation. Click on the cards below to access detailed setup instructions and tutorials.

Choose Your Integration#

MNE-Python

Offline Analysis & Visualization

Open-source Python package for exploring, visualizing, and analyzing EEG, MEG, sEEG, and ECoG data.

Perfect for: Post-processing, advanced analysis, research workflows

MNE-Python
MNE-LSL

Real-Time Streaming & Processing

Bridge between MNE-Python and Lab Streaming Layer for real-time data streaming and visualization.

Perfect for: Live monitoring, real-time analysis, BCI applications

MNE-LSL Integration
MNELAB

GUI-Based Analysis

Graphical user interface for MNE-Python. Point-and-click workflows for EEG analysis without coding.

Perfect for: Visual workflows, EDF files, low or no-code analysis

MNELAB

Additional Resources#

Official MNE Documentation:

Related Integrations:

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