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

Property Value
Distribution Debian 8 (Jessie)
Repository NeuroDebian Main amd64
Package name python-cfflib
Package version 2.0.5
Package release 1~nd70+1
Package architecture all
Package type deb
Installed size 768 B
Download size 212.58 KB
Official Mirror
The Connectome File Format Library (cfflib) is a Python module for
multi-modal neuroimaging connectome data and metadata management and
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 Version Architecture Repository
python-cfflib_2.0.5-1~nd70+1_all.deb 2.0.5 all NeuroDebian Main
python-cfflib_2.0.5-1_all.deb 2.0.5 all Debian Main
python-cfflib_2.0.5-1_all.deb 2.0.5 all Debian Main
python-cfflib - - -


Name Value
neurodebian-popularity-contest -
python >= 2.6
python-lxml -
python-networkx >= 1.4
python-nibabel >= 1.1.0
python-numpy -
python-support >= 0.90.0


Name Value
python2.6-cfflib -
python2.7-cfflib -


Type URL
Binary Package python-cfflib_2.0.5-1~nd70+1_all.deb
Source Package cfflib

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb jessie main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver 2649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-cfflib deb package:
    # sudo apt-get install python-cfflib

See Also

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