Metadata-Version: 2.4
Name: brkraw
Version: 0.5.0
Summary: Toolkit for loading Bruker Paravision datasets, mapping metadata, and exporting NIfTI
Project-URL: Homepage, https://brkraw.github.io
Maintainer-email: SungHo Lee <shlee@unc.edu>
License: GNLv3
License-File: LICENSE
Keywords: bruker,cli,conversion,dataset,mri,neuroimaging,nifti,paravision,preclinical
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.8
Requires-Dist: importlib-resources>=5; python_version < '3.9'
Requires-Dist: jsonschema
Requires-Dist: nibabel
Requires-Dist: numpy
Requires-Dist: pyyaml
Requires-Dist: typing-extensions
Provides-Extra: dev
Requires-Dist: mkdocs; extra == 'dev'
Requires-Dist: mkdocs-material; extra == 'dev'
Requires-Dist: pymdown-extensions; extra == 'dev'
Requires-Dist: pytest; extra == 'dev'
Provides-Extra: docs
Requires-Dist: rich; extra == 'docs'
Provides-Extra: minimal
Description-Content-Type: text/markdown

<!-- markdownlint-disable MD041 MD033 MD013 -->
<picture>
  <source media="(prefers-color-scheme: dark)" srcset="docs/assets/brkraw-logo-dark.svg">
  <source media="(prefers-color-scheme: light)" srcset="docs/assets/brkraw-logo-light.svg">
  <img src="docs/assets/brkraw-logo-light.svg" width="220" alt="BrkRaw logo">
</picture>
<!-- markdownlint-enable MD041 MD033 MD013 -->

[![DOI](https://zenodo.org/badge/245546149.svg)](https://doi.org/10.5281/zenodo.3818614)

A modular toolkit for Bruker MRI raw-data handling.

BrkRaw (v0.5.0) converts raw data into standardized, neuroimaging-ready
datasets, with extensible rules/specs and plugin hooks.

- Documentation: [brkraw.github.io](https://brkraw.github.io/)
- Releases: [BrkRaw/brkraw releases](https://github.com/BrkRaw/brkraw/releases)
- PyPI: [brkraw on PyPI](https://pypi.org/project/brkraw/)

## Citation

If you use BrkRaw in your research, please cite it.

- Citation metadata: [CITATION.cff](./CITATION.cff)
- DOI (Zenodo): [10.5281/zenodo.3818614](https://doi.org/10.5281/zenodo.3818614)

### Cite as (BibTeX)

<!-- BEGIN: brkraw-bibtex -->
```biblatex
@software{brkraw_2026,
  author = {Lee, Sung-Ho and Devenyi, Gabriel A and Ban, Woomi and Shih, Yen-Yu Ian},
  title = {BrkRaw: A modular toolkit for Bruker MRI raw-data handling},
  year = {2026},
  version = {0.5.0},
  doi = {10.5281/zenodo.3818614},
  url = {https://github.com/BrkRaw/brkraw},
  note = {Documentation: https://brkraw.github.io},
  license = {GPL-3.0-only},
  date = {2026-01-13}
}
```
<!-- END: brkraw-bibtex -->