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Project: streamlit-prophet
Version: 1.0.0
Filename: streamlit_prophet-1.0.0-py3-none-any.whl
Download: [link]
Size: 176500
MD5: 4458484b1ce8309325452a85b8c4cf5f
SHA256: f8438a0634c83b047d8f27b9d4493e7ca291df8d03e39d8f2a028eb83550d11c
Uploaded: 2021-09-13 13:20:49 +0000

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METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: streamlit-prophet
Version: 1.0.0
Summary: Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.
Author: Maxime Lutel
Author-Email: maxime.lutel[at]artefact.com
Home-Page: https://github.com/artefactory-global/streamlit_prophet
Project-Url: Repository, https://github.com/artefactory-global/streamlit_prophet
License: MIT
Keywords: streamlit,prophet,forecasting,time-series,data-science
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7,<3.10
Requires-Dist: fbprophet (==0.7.1)
Requires-Dist: holidays (<0.12.0,>=0.11.1)
Requires-Dist: importlib_metadata (<2.0.0,>=1.6.0); python_version < "3.8"
Requires-Dist: numpy (<2.0.0,>=1.20.2)
Requires-Dist: pandas (<2.0.0,>=1.1.5)
Requires-Dist: plotly (<5.0.0,>=4.11.0)
Requires-Dist: pystan (==2.19.1.1)
Requires-Dist: rich (<11.0.0,>=10.1.0)
Requires-Dist: scipy (<2.0.0,>=1.6.3)
Requires-Dist: streamlit (==0.80.0)
Requires-Dist: typer[all] (<0.4.0,>=0.3.2)
Requires-Dist: vacances-scolaires-france (<0.9.0,>=0.8.0)
Description-Content-Type: text/markdown
[Description omitted; length: 4607 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry 1.0.3
Root-Is-Purelib: true
Tag: py3-none-any

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entry_points.txt

[console_scripts]
streamlit_prophet = streamlit_prophet.cli.__main__:app