Metadata-Version: 2.1
Name: niworkflows
Version: 1.7.7
Summary: NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.
Home-page: https://www.nipreps.org
Author: The NiPreps Developers
Author-email: nipreps@gmail.com
License: Apache License, Version 2.0
Project-URL: Documentation, https://www.nipreps.org/niworkflows
Project-URL: GitHub, https://github.com/nipreps/niworkflows
Project-URL: Bug Tracker, https://github.com/nipreps/niworkflows/issues
Project-URL: Source Code, https://github.com/nipreps/niworkflows
Project-URL: Zenodo, https://doi.org/10.5281/zenodo.2650331
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/x-rst; charset=UTF-8
Provides-Extra: doc
Provides-Extra: docs
Provides-Extra: pointclouds
Provides-Extra: style
Provides-Extra: tests
Provides-Extra: all
License-File: LICENSE

NeuroImaging workflows (NiWorkflows): robust processing tools for MRI data
==========================================================================

.. image:: https://circleci.com/gh/nipreps/niworkflows/tree/master.svg?style=shield
  :target: https://circleci.com/gh/nipreps/niworkflows/tree/master
  :alt: CI status

.. image:: https://github.com/nipreps/niworkflows/workflows/Python%20package/badge.svg
  :target: https://github.com/nipreps/niworkflows/actions
  :alt: GitHub Actions

.. image:: https://codecov.io/gh/nipreps/niworkflows/branch/master/graph/badge.svg
  :target: https://codecov.io/gh/nipreps/niworkflows
  :alt: Test coverage

*NeuroImaging Workflows (NiWorkflows)* is a selection of image processing workflows
for magnetic resonance images of the brain. It is designed to provide an easily
accessible, state-of-the-art interface that is robust to differences in scan
acquisition protocols and that requires minimal user input.

This open-source neuroimaging data processing tool is being developed as a part of
the MRI image analysis and reproducibility platform offered by the *NiPreps Community*.

**Documentation**: https://www.nipreps.org/niworkflows/


