python-cfflib – Multi-modal connectome and metadata management and integration

The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration.

It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects.

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 7.0 (wheezy) 2.0.5-1 2.0.5-1~nd70+1 i386, amd64, sparc, armel
Debian GNU/Linux 8.0 (jessie) 2.0.5-1 2.0.5-1~nd70+1 i386, amd64, sparc, armel
Debian GNU/Linux 9.0 (stretch) 2.0.5-2 2.0.5-1~nd70+1+nd90+1 i386, amd64, sparc, armel
Debian testing (buster) 2.0.5-2    
Debian unstable (sid) 2.0.5-2 2.0.5-1~nd+1 i386, amd64, armel
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 2.0.5-1build1    
Ubuntu 14.04 “Trusty Tahr” (trusty) 2.0.5-1build1    
Ubuntu 16.04 “Xenial Xerus” (xenial) 2.0.5-2    
Ubuntu 16.10 “Yakkety Yak” (yakkety) 2.0.5-2    
Ubuntu 17.04 “Zesty Zapus” (zesty) 2.0.5-2    
Ubuntu 17.10 “Artful Aardvark” (artful) 2.0.5-2    

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