beautiful-brains 0.0.2

Create figures and images from NIfTI images, masks, and label maps.

Beautiful Brains

Beautiful-Brains creates notebook-friendly NIfTI figures from intensity images, masks, and label maps.

Beautiful-Brains provides a Python toolkit for loading, smoothing, transforming, coregistering, slicing, and compositing NIfTI images in Jupyter notebooks and Python scripts. Images are read with NiBabel, processed with NumPy and SciPy, and rendered with Pillow. Registration, masking, and bias-field correction are performed with ANTsPy.

Beautiful-Brains began as a series of personal utilities and scripts.

To Do Before Beta Release

• Complete basic feature set
• Design starter templates
• Add documentation
• Set up PyPI
• Complete human code review

AI Disclaimer

This project began as a set of human-coded utilities for private use. Claude Code (Sonnet 4.6) and Codex (GPT-5.5) were used to convert a working codebase into a Python package. These tools helped redesign the code and build the package as of the first alpha release. Future development will continue using AI-assisted coding tools.

All code merged into a stable release must undergo human review.

Installation

Install the current Beautiful-Brains release with pip:

pip install beautiful-brains

Usage

See the demonstration notebook.

Support

Please send questions, bug reports, and feature requests to the issue tracker.

Documentation will be expanded after the project leaves alpha.

License

Beautiful-Brains is licensed under the terms of the GNU General Public License version 3. For more information, see the LICENSE file. :::