Paket: python-cfflib (2.0.5-3)

[ Källkod: cfflib  ]

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.

Andra paket besläktade med python-cfflib

• 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

Hämta python-cfflib

Hämtningar för alla tillgängliga arkitekturer

Arkitektur	Paketstorlek	Installerad storlek	Filer
all	198,0 kbyte	736,0 kbyte	[filförteckning]