https://github.com/annotation/text-fabric
Tip revision: 3df56f1a4213b4b7cbacb7dac93cf18932cc6a41 authored by Dirk Roorda on 11 July 2019, 16:05:13 UTC
github connection error msg
github connection error msg
Tip revision: 3df56f1
setup.py
from setuptools import setup
setup(
name='text-fabric',
packages=[
'tf',
'tf.applib',
'tf.convert',
'tf.compose',
'tf.core',
'tf.search',
'tf.server',
'tf.writing',
],
install_requires=[
'rpyc',
'flask',
'psutil',
'markdown',
'ipython',
'requests',
'pygithub',
],
python_requires='>=3.6.3',
include_package_data=True,
exclude_package_data={'': ['text_fabric.egg-info', '__pycache__', '.DS_Store']},
zip_safe=False,
entry_points={
'console_scripts': [
'text-fabric = tf.server.start:main',
'text-fabric-zip = tf.applib.zipdata:main',
]
},
version='7.8.10',
description='''Processor and browser for Text Fabric Data''',
author='Dirk Roorda',
author_email='dirk.roorda@dans.knaw.nl',
url='https://github.com/annotation/text-fabric',
keywords=[
'text', 'linguistics',
'database', 'graph',
'hebrew', 'bible', 'peshitta', 'quran', 'cuneiform', 'uruk',
'greek', 'syriac', 'akkadian', 'babylonian'
],
classifiers=[
"Development Status :: 4 - Beta",
"Environment :: Other Environment",
"Framework :: Jupyter",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Religion",
"Intended Audience :: Science/Research",
"License :: Public Domain",
"Natural Language :: English",
"Natural Language :: Hebrew",
"Natural Language :: Greek",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows :: Windows 10",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: JavaScript",
"Topic :: Religion",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Sociology :: History",
"Topic :: Text Processing :: Filters",
"Topic :: Text Processing :: Linguistic",
"Topic :: Text Processing :: Markup",
],
long_description='''\
Tools to read text corpora with (linguistic) annotations
and process them efficiently.
With a built in web-interface for querying a corpus.
More info on https://annotation.github.io/text-fabric/
''',
)