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.


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This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:

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Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze)   2.0.5-1~nd60+1 i386, amd64, sparc
Debian GNU/Linux 7.0 (wheezy) 2.0.5-1 2.0.5-1~nd70+1 i386, amd64, sparc
Debian GNU/Linux 8.0 (jessie) 2.0.5-1 2.0.5-1~nd70+1 i386, amd64, sparc
Debian testing (stretch) 2.0.5-1 2.0.5-1~nd70+1+nd90+1 i386, amd64, sparc
Debian unstable (sid) 2.0.5-1 2.0.5-1~nd+1 i386, amd64
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 2.0.5-1build1    
Ubuntu 14.04 “Trusty Tahr” (trusty) 2.0.5-1build1    
Ubuntu 14.10 “Utopic Unicorn” (utopic) 2.0.5-1build1    
Ubuntu 15.04 “Vivid Vervet” (vivid) 2.0.5-1build1    
The source code for this portal is licensed under the GPL-3 and is available on GitHub.