Metadata-Version: 2.1
Name: nngt
Version: 1.3.2
Summary: Package to study structure and activity in neuronal networks
Home-page: https://github.com/Silmathoron/NNGT
Author: Tanguy Fardet
Author-email: tanguy.fardet@univ-paris-diderot.fr
License: GPL3
Keywords: neuronal network graph structure simulation NEST topology growth
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=2.7, <4
Provides-Extra: PySide
Provides-Extra: reST
Provides-Extra: nx
Provides-Extra: matplotlib
Provides-Extra: PDF
Provides-Extra: ig
Requires-Dist: numpy
Requires-Dist: scipy (>=0.11)
Provides-Extra: PDF
Requires-Dist: ReportLab (>=1.2); extra == 'PDF'
Requires-Dist: RXP; extra == 'PDF'
Provides-Extra: PySide
Requires-Dist: PySide; extra == 'PySide'
Provides-Extra: ig
Requires-Dist: python-igraph; extra == 'ig'
Provides-Extra: matplotlib
Requires-Dist: matplotlib; extra == 'matplotlib'
Provides-Extra: nx
Requires-Dist: networkx (>=2.0); extra == 'nx'
Provides-Extra: reST
Requires-Dist: docutils (>=0.3); extra == 'reST'

NNGT provides a unified interface to use three of the main Python graph
libraries (graph-tool, igraph, and networkx) in order to generate and study
neuronal networks. It allows the user to easily send this graph to the NEST
simulator, the analyze the resulting activity while taking structure into
account.


