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setup.cfg
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setup.cfg
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[metadata]
name = kglab
version = 0.6.7
author = Paco Nathan
author_email = paco@derwen.ai
license = MIT
description = A simple abstraction layer in Python for building knowledge graphs
keywords =
controlled
vocabulary,
cugraph,
deep
learning,
embedding,
gpu,
graph
algorithms,
igraph,
inference,
interactive
visualization,
json-ld,
knowledge
graph,
managing
namespaces,
morph-kgc,
n3,
networkx,
owl,
pandas,
parquet,
probabilistic
soft
logic,
psl,
pyvis,
rapids,
rdf,
rml,
roam
research,
serialization,
shacl,
skos,
sparql,
statistical
relational
learning,
topology,
turtle,
validation
url = https://derwen.ai/docs/kgl/
long_description = file: README.md
long_description_content_type = text/markdown
classifiers =
Programming Language :: Python
Programming Language :: Python :: 3 :: Only
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Operating System :: OS Independent
License :: OSI Approved :: MIT License
Development Status :: 5 - Production/Stable
Intended Audience :: Developers
Intended Audience :: Education
Intended Audience :: Information Technology
Intended Audience :: Science/Research
Topic :: Scientific/Engineering :: Artificial Intelligence
Topic :: Scientific/Engineering :: Human Machine Interfaces
Topic :: Scientific/Engineering :: Information Analysis
Topic :: Software Development :: Libraries :: Python Modules
Topic :: Text Processing :: Indexing
project_urls =
DOI = https://doi.org/10.5281/zenodo.6360664
Community Survey = https://forms.gle/FMHgtmxHYWocprMn6
Discussion Forum = https://www.linkedin.com/groups/6725785/
DockerHub = https://hub.docker.com/r/derwenai/kglab
Hands-on Tutorial = https://derwen.ai/docs/kgl/tutorial/
Issue Tracker = https://github.com/DerwenAI/kglab/issues
Source Code = https://github.com/DerwenAI/kglab
[options]
packages = find:
zip_safe = False
install_requires =
greenlet==2.0.1
setuptools>=65.5.1
aiohttp>=3.8
chocolate>=0.0.2
csvwlib>=0.3.2
cryptography>=35.0
decorator>=5.1
fsspec[gs,s3]>=2022.2
gcsfs>=2022.2
icecream>=2.1
morph-kgc>=2.0.0
networkx>=2.7
numpy>=1.23.0
owlrl>=6.0.2
oxrdflib>=0.3.1
pandas>=1.4
pslpython>=2.2.2
pyarrow>=7.0
pynvml>=11.4
pyshacl>=0.18
python-dateutil>=2.8
pyvis>=0.1.9
rdflib>=6.1
requests>=2.27
scikit-learn>=1.3.0
scipy>=1.8.0
statsmodels>=0.13
tqdm>=4.63
urlpath>=1.2
python_requires = >=3.7
[options.packages.find]
exclude = docs; examples
[options.entry_points]
rdf.plugins.store = kglab = kglab:PropertyStore
[options.extras_require]
base =
greenlet==2.0.1
setuptools>=65.5.1
aiohttp>=3.8
chocolate>=0.0.2
csvwlib>=0.3.2
cryptography>=35.0
decorator>=5.1
fsspec[gs,s3]>=2022.2
gcsfs>=2022.2
icecream>=2.1
morph-kgc>=2.0.0
networkx>=2.7
numpy>=1.23.0
owlrl>=6.0.2
oxrdflib>=0.3.1
pandas>=1.4
pslpython>=2.2.2
pyarrow>=7.0
pynvml>=11.4
pyshacl>=0.18
python-dateutil>=2.8
pyvis>=0.1.9
rdflib>=6.1
requests>=2.27
scikit-learn>=1.3.0
scipy>=1.8.0
statsmodels>=0.13
tqdm>=4.63
urlpath>=1.2
docs =
bandit>=1.7
codespell>=2.1
coverage>=6.3
flask>=2.0
flit>=3.8
grayskull>=1.1
jupyterlab>=3.3
mistune>=0.8
mkdocs-git-revision-date-plugin>=0.3
mkdocs-material>=8.2
mknotebooks>=0.7
mypy>=0.940
nbconvert>=6.4
nbmake>=1.3
notebook>=6.4
pipdeptree>=2.2
pre-commit>=2.17
pygments>=2.11
pylint>=2.12
pymdown-extensions>=9.2
pytest>=7.1
responses>=0.19
scikit-learn>=1.0
selenium>=4.1
setuptools>=65.5.1
twine>=3.8
types-python-dateutil>=2.8
types-requests>=2.27
wheel>=0.37
xmltodict>=0.12
tutorial =
cairocffi>=1.3
gensim>=3.8
igraph>=0.9
jupyterlab>=3.1.4
leidenalg>=0.8
matplotlib>=3.3.4
pylev>=1.3