Metadata-Version: 1.1
Name: cvu
Version: 0.4
Summary: A visualizer for human brain networks
Home-page: https://github.com/aestrivex/cvu
Author: Roan LaPlante
Author-email: rlaplant@nmr.mgh.harvard.edu
License: Visuddhimagga Sutta; GPLv3+
Description: Connectome Visualization Utility version 0.4
        Author: Roan LaPlante
        
        DESCRIPTION
        
        The Connectome Visualization Utility is a free and open source software project
        designed for the visualization of multi-modal, abstract brain networks. To
        facilitate visualization of network topology and modularity, cvu additionally
        interfaces with graph theory tools.
        
        The program is designed for scientists, but to run as a standalone application.
        
        COPYRIGHT INFORMATION
        
        This program strictly observes the tenets of fundamentalist Theravada Mahasi 
        style Buddhism.  Any use of this program in violation of these aforementioned 
        tenets or in violation of the principles described in the Visuddhimagga Sutta is
        strictly prohibited and punishable by extensive Mahayana style practice.
        
        Note that the observation of the tenets of fundamentalist Theravada Mahasi 
        style Buddhism and the Visuddhimagga Sutta is optional as long as the terms and
        conditions of the GNU GPLv3+ are upheld.
        
        DEPENDENCIES
        
        These dependencies are satisfied by installing a scientific python distribution
        such as Canopy or anaconda:
        
        matplotlib -- plotting library
        chaco -- interactive plotting library
        numpy -- math library
        mayavi -- interactive 3D visualization library
        
        These dependencies are *required* and must be manually installed into your
        python distribution. Typically this is as simple as typing 'pip install package'
        
        mne -- MNE python, a broad library for MNE processing that is used in CVU to
        	manipulate surface and parcellation files.
        bctpy -- a graph theory library
        
        Optional dependencies:
        
        nibabel -- nibabel is a neuroimaging library that is used to locate subcortical
        	structures. Without nibabel, subcortical structures may not appear in any
        	parcellations.
        freesurfer -- freesurfer is a very powerful set of tools to do automatic
        	segmentation and parcellation. CVU calls freesurfer commands to register
        	tractography to the structural space. Without freesurfer, tractography
        	cannot be visualized.
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires: numpy
Requires: scipy
Requires: bctpy
Requires: mne
