[ buster ]
[ 原始碼： cfflib ]
套件：python-cfflib（2.0.5-3）
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.
其他與 python-cfflib 有關的套件
|
|
|
|
-
- 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