Metadata-Version: 2.1
Name: cloud_bids_layout
Version: 0.1.1
Summary: Cloud-BIDS-Layout: Use pybids with Amazon S3
Home-page: https://github.com/nrdg/cloud_bids_layout
Author: Adam Richie-Halford
Author-email: richiehalford@gmail.com
Maintainer: Adam Richie-Halford
Maintainer-email: richiehalford@gmail.com
License: MIT
Description: [![Build Status](https://github.com/nrdg/cloudknot/workflows/build/badge.svg)](https://github.com/nrdg/cloud_bids_layout/actions?query=workflow%3Abuild)
        [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
        
        # Cloud-BIDS-Layout
        
        Cloud-BIDS-Layout is a lightweight wrapper for pybids' BIDS.Layout that can
        grab BIDS studies from Amazon S3.
        
        ## Motivation
        
        The [Brain Imaging Data Structure (BIDS)](https://bids.neuroimaging.io/)
        is an intuitive, accessible, and community-driven data specification for
        neuroimaging data. [Pybids](https://bids-standard.github.io/pybids/) is
        an exceptionally written Python library that makes it easy for
        researchers to query, summarize, and manipulate BIDS-compliant data.
        However, it's workhorse `BIDSLayout` class doesn't index remote datasets
        stored in the cloud. That's where Cloud-BIDS-Layout comes in.
        
        Cloud-BIDS-Layout allows its user to specify a remote location for
        a BIDS-Compliant dataset. Currently only Amazon S3 locations are
        supported but support for Google Cloud Storage and others is coming
        soon. Cloud-BIDS-Layout creates a lightweight semblance of the remote
        dataset, just enough to pass to pybids' `BIDSLayout` for indexing.
        The user can then use pybids' familiar `.get()` method to select a
        subset of the study that they wish to download to the host. See the
        [documentation](https://nrdg.github.io/cloud_bids_layout) for more details.
        
        This is the Cloud-BIDS-Layout development site. You can view the source
        code, file new issues, and contribute to Cloud-BIDS-Layouts's development.
        If you are just getting started, you should look at the [Cloud-BIDS-Layout
        documentation](https://nrdg.github.io/cloud_bids_layout)
        
        ## Contributing
        
        We love contributions! Cloud-BIDS-Layout is open source, built on open
        source, and we'd love to have you hang out in our community.
        
        We have developed some [guidelines](CONTRIBUTING.md) for contributing to
        Cloud-BIDS-Layout.
        
        **Imposter syndrome disclaimer**: We want your help. No, really.
        
        There may be a little voice inside your head that is telling you that
        you're not ready to be an open source contributor; that your skills
        aren't nearly good enough to contribute. What could you possibly offer a
        project like this one?
        
        We assure you - the little voice in your head is wrong. If you can
        write code at all, you can contribute code to open source. Contributing
        to open source projects is a fantastic way to advance one's coding
        skills. Writing perfect code isn't the measure of a good developer (that
        would disqualify all of us!); it's trying to create something, making
        mistakes, and learning from those mistakes. That's how we all improve,
        and we are happy to help others learn.
        
        Being an open source contributor doesn't just mean writing code, either.
        You can help out by writing documentation, tests, or even giving
        feedback about the project (and yes - that includes giving feedback
        about the contribution process). Some of these contributions may be the
        most valuable to the project as a whole, because you're coming to the
        project with fresh eyes, so you can see the errors and assumptions that
        seasoned contributors have glossed over.
        
        ## Credits
        
        This package was created with
        [Cookiecutter](https://github.com/audreyr/cookiecutter) and the
        [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage)
        project template.
        
        The imposter syndrome disclaimer was originally written by
        [Adrienne Lowe](https://github.com/adriennefriend) for a [PyCon
        talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was
        adapted based on its use in the README file for the [MetPy
        project](https://github.com/Unidata/MetPy).
        
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
