Automated EEG Preprocessing and Visualization

This Python library drastically reduces the time and expertise required to turn raw EEG data into clean, analyzable data and publication-quality visualizations.

• Opinionated Automation: Smart, scientifically-defensible choices are made for the user.
• Transparency & Trust: The clean() function generates a detailed, interactive validation report.
• Beautiful by Default: All plotting functions produce publication-ready charts with minimal configuration.

pip install -r requirements.txt
python setup.py install

import neuro_analyst as na

# Load your EEG data
raw = na.load("path/to/your/data.edf")

# Clean the data with a single command
cleaned_raw = na.clean(raw)

Here's a glimpse of the interactive HTML report generated by na.clean(), showcasing the power spectral density before and after cleaning. Notice the significant reduction in 60Hz powerline noise!