https://github.com/kit-parco/networkit
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Tip revision: b99805ae7cbc45d0588ef19dfe26028630e149ec authored by Lukas Berner on 03 April 2024, 09:08:49 UTC
New feature: convert networkx attributes to networkit attributes (#1191)
Tip revision: b99805a
version.py
name='networkit'

version='11.0'

url='https://networkit.github.io/'

download_url='https://pypi.python.org/pypi/networkit'

license='MIT'

author='Christian L. Staudt, Henning Meyerhenke'

author_email = 'christian.staudt@kit.edu, meyerhenke@kit.edu'

description = 'NetworKit is a toolbox for high-performance network analysis'

long_description = """
NetworKit is a growing open-source toolkit for high-performance network analysis.
Its aim is to provide tools for the analysis of large networks in the size range
from thousands to billions of edges. For this purpose, it implements efficient
graph algorithms, many of them parallel to utilize multicore architectures. These
are meant to compute standard measures of network analysis, such as degree
sequences, clustering coefficients and centrality. In
this respect, NetworKit is comparable to packages such as NetworkX, albeit with a
focus on parallelism and scalability. NetworKit is also a testbed for algorithm
engineering and contains a few novel algorithms from recently published
research, especially in the area of community detection."""

keywords = ['graph algorithm', 'network analysis', 'social network']

platforms = 'any'

classifiers = [
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Environment :: Web Environment',
'Environment :: Other Environment',
'Framework :: IPython',
'Intended Audience :: Developers',
'Intended Audience :: End Users/Desktop',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: C++',
'Programming Language :: Python :: 3 :: Only',
'Topic :: Software Development :: Libraries :: Python Modules',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Scientific/Engineering :: Chemistry',
'Topic :: Scientific/Engineering :: Information Analysis',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Visualization'
]

install_requires = [
	'scipy',
	'numpy'
]
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