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A modular framework for automated EEG data processing, built on MNE-Python

Project description

AutoCleanEEG Pipeline

Python License Code style: black

A modular framework for automated EEG data processing, built on MNE-Python.

Features

  • Framework for automated EEG preprocessing with "lego block" modularity
  • Support for multiple EEG paradigms (ASSR, Chirp, MMN, Resting State)
  • BIDS-compatible data organization and comprehensive quality control
  • Extensible plugin system for file formats, montages, and event processing
  • Research-focused workflow: single file testing → parameter tuning → batch processing
  • Detailed output: logs, stage files, metadata, and quality control visualizations

Installation (uv)

Use Astral's uv for fast, isolated installs. If you don't have uv yet, see https://docs.astral.sh/uv/

  • Install CLI (recommended for users):
uv tool install autocleaneeg-pipeline
autocleaneeg-pipeline --help
  • Upgrade or remove:
uv tool upgrade autocleaneeg-pipeline
uv tool uninstall autocleaneeg-pipeline
  • Development install from source:
git clone https://github.com/cincibrainlab/autoclean_pipeline.git
cd autoclean_pipeline
uv venv && source .venv/bin/activate   # Windows: .venv\\Scripts\\activate
uv pip install -e .
# Optional extras
# uv pip install -e '.[gui]'   # GUI review tool dependencies
# uv pip install -e '.[docs]'  # Documentation tooling

Quick Start

Process a file using a built-in task:

autocleaneeg-pipeline process RestingEyesOpen /path/to/data.raw

List tasks and show overrides:

autocleaneeg-pipeline list-tasks --overrides

Theme and Color

AutoClean’s CLI uses Rich with semantic styles and adaptive themes for readable output across light/dark terminals, limited color depth, and colorless logs.

  • Flag: --theme auto|dark|light|hc|mono (default: auto)
    • mono: Monochrome (no hues), ideal for logs or unknown backgrounds
    • hc: High-contrast, accessible on both dark and light backgrounds
  • Env overrides:
    • AUTOCLEAN_THEME=auto|dark|light|hc|mono
    • AUTOCLEAN_COLOR_DEPTH=auto|8|256|truecolor
    • NO_COLOR=1 disables color
    • FORCE_COLOR=1 forces color even in non-TTY (e.g., CI)

Examples:

autocleaneeg-pipeline --theme light list-tasks
AUTOCLEAN_THEME=hc autocleaneeg-pipeline version
NO_COLOR=1 autocleaneeg-pipeline list-tasks

Documentation

Full documentation is available at https://cincibrainlab.github.io/autoclean_pipeline/

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Cincinnati Children's Hospital Research Foundation
  • Built with MNE-Python

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