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Source: cfflib
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: python
Priority: optional
Build-Depends: debhelper (>= 11~),
dh-python,
python-all,
python-networkx,
python-nibabel,
python-nose,
python-numpy,
python-sphinx
Standards-Version: 4.1.4
Vcs-Browser: https://salsa.debian.org/med-team/cfflib
Vcs-Git: https://salsa.debian.org/med-team/cfflib.git
Homepage: http://cmtk.org/cfflib
Package: python-cfflib
Architecture: all
Depends: python-lxml,
python-networkx,
python-nibabel,
python-numpy,
${misc:Depends},
${python:Depends}
Recommends: python-h5py,
python-nose,
python-sphinx,
python-tables
Description: 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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