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Paketti: python-cfflib (2.0.5-2)

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.

Muut pakettiin python-cfflib liittyvät paketit

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  • dep: python
    interactive high-level object-oriented language (default version)
  • dep: python-lxml
    pythonic binding for the libxml2 and libxslt libraries
  • dep: python-networkx (>= 1.4)
    tool to create, manipulate and study complex networks
  • dep: python-nibabel (>= 1.1.0)
    Python bindings to various neuroimaging data formats
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • rec: python-h5py
    general-purpose Python interface to hdf5 (Python 2)
  • rec: python-nose
    test discovery and running of Python's unittest
  • rec: python-sphinx
    documentation generator for Python projects (implemented in Python 2)
  • rec: python-tables
    hierarchical database for Python based on HDF5

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