Пакет: python-cfflib (2.0.5-3)

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Начална страница [cmtk.org]

Подобни пакети:

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.

Други пакети, свързани с python-cfflib

зависимости

препоръчани

предложени

enhances

dep: python

interactive high-level object-oriented language (Python2 version)
dep: python-lxml

pythonic binding for the libxml2 and libxslt libraries
dep: python-networkx

tool to create, manipulate and study complex networks
dep: python-nibabel

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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