Metadata-Version: 2.1
Name: dax
Version: 2.7.5
Summary: Distributed Automation for XNAT
Home-page: http://github.com/VUIIS/dax
Author: VUIIS CCI
Author-email: vuiis-cci@googlegroups.com
Maintainer: VUIIS CCI
Maintainer-email: vuiis-cci@googlegroups.com
License: MIT
Download-URL: http://github.com/VUIIS/dax
Description: 
        ========================================================
        DAX: Distributed Automation for XNAT
        ========================================================
        
        *DAX*, is a python package developed at Vanderbilt University, Nashville, TN,
        USA. It's available on github at: https://github.com/VUIIS/dax.
        
        XNAT provides a flexible imaging informatics software platform to
        organize and manage imaging data.
        
        *DAX*, an open-source initiative under the umbrella of Vanderbilt University
        Institute of Imaging Science (VUIIS), is a Python project that provides a
        uniform interface to run pipelines on a cluster by grabbing data from a XNAT
        database via RESTApi Calls.
        
        *DAX* allows you to:
        
        * extract information from XNAT via scripts (bin/Xnat_tools/Xnat...)
        * create pipelines (spiders/processors) to run pipelines on your data
        * build a project on XNAT with pipelines (assessors)
        * launch pipelines on your cluster and upload results back to xnat
        * interact with XNAT via python using commands in XnatUtils.
        
Platform: MacOs
Platform: Linux
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: ~=3.6
Provides-Extra: docs
