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setup.py
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setup.py
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import setuptools
from setuptools import find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="anomaly_detection_framework",
version="0.0.21",
author="Caglan Akpinar",
author_email="cakpinar23@gmail.com",
description="Anomaly Detection Framework allows us to calculate Anomalities on any Time - Series Data Sets. It has an interface which is easy to manage to train - predict with given dataset.",
long_description=long_description,
long_description_content_type="text/markdown",
keywords='anomaly Time Series Anomaly LSTM Prophet Isolation Forest',
packages= find_packages(exclude='__pycache__'),
py_modules=['anomaly_detection', 'anomaly_detection/web'],
install_requires=[
"requests",
"convertdate",
"lunarcalendar",
"holidays",
"docker-compose >= 1.25.5",
"numpy >= 1.18.1",
"pandas >= 0.25.3",
"scipy >= 1.4.1 ",
"tensorflow >= 2.2.0",
"PyYAML",
"schedule >= 0.6.0",
"scikit-learn >= 0.22.1",
"DateTime>= 4.3",
"Flask >= 1.1.1",
"multiprocess >= 0.70.9",
"google-cloud-bigquery",
"mysql-connector-python",
"plotly >= 4.5.0",
"dash-html-components >= 1.0.2",
"dash-core-components >= 1.8.0",
"dash >= 1.9.0",
"threaded >= 4.0.8",
"requests >= 2.23.0",
"pytest-shutil >= 1.7.0",
"python-dateutil >= 2.8.1",
"sockets >= 1.0.0",
"random2 >= 1.0.1",
"psycopg2 >= 2.8.5",
"convertdate",
"LunarCalendar",
"holidays",
"pystan",
"fbprophet == 0.6",
"Keras >= 2.3.1"
],
url="https://github.com/caglanakpinar/tsad",
include_package_data=True,
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires='>=3.6',
)