Contents

streamlit-prophet 1.0.0

0

Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.

Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.

Stars: 311, Watchers: 311, Forks: 224, Open Issues: 13

The artefactory/streamlit_prophet repo was created 3 years ago and the last code push was 5 months ago.
The project is popular with 311 github stars!

How to Install streamlit-prophet

You can install streamlit-prophet using pip

pip install streamlit-prophet

or add it to a project with poetry

poetry add streamlit-prophet

Package Details

Author
Maxime Lutel
License
MIT
Homepage
https://github.com/artefactory-global/streamlit_prophet
PyPi:
https://pypi.org/project/streamlit-prophet/
GitHub Repo:
https://github.com/artefactory-global/streamlit_prophet

Classifiers

  • Software Development/Libraries/Python Modules
No  streamlit-prophet  pypi packages just yet.

Errors

A list of common streamlit-prophet errors.

Code Examples

Here are some streamlit-prophet code examples and snippets.

Related Packages & Articles

orbit-ml 1.1.4.9

Orbit is a package for Bayesian time series modeling and inference.

vectorbt 0.26.2

The vectorbt library is a powerful tool for Python developers interested in financial analysis. It provides a fast and flexible platform for backtesting trading strategies, operating directly on pandas and NumPy objects and leveraging the speed of Numba for high-performance computations. This package is open-source and is widely used in the algorithmic trading community for quantitative analysis, strategy testing, and research.

geemap 0.34.5

Geemap is a Python package designed for interactive mapping with Google Earth Engine (GEE). It provides an intuitive interface for manipulating, analyzing, and visualizing geospatial big data in a Jupyter-based environment. Geemap supports various Python libraries and offers advanced features like data conversion, interactive plotting, and image classification. It also allows developers to export Earth Engine maps as HTML files and PNG images, making it a comprehensive solution for geospatial data handling.