Source: cfflib Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille 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.