streamlit_prophet and Forecast-Factory

streamlit_prophet
51
Established
Forecast-Factory
25
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 6/25
Maturity 13/25
Community 0/25
Stars: 366
Forks: 259
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 23
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About streamlit_prophet

artefactory/streamlit_prophet

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

This tool helps business analysts and operations managers create forecasts for key metrics like sales, demand, or website traffic. You provide historical time-series data (like daily sales figures), and it visually guides you through preparing the data, choosing forecasting model parameters, and evaluating predictions. The output includes clear charts and data showing future projections, helping you make informed business decisions.

time-series-forecasting demand-planning sales-forecasting business-intelligence operational-planning

About Forecast-Factory

AmirhosseinHonardoust/Forecast-Factory

Forecast factory is an interactive AI-powered forecasting and simulation tool built with Python, Streamlit, Prophet, and SQL. It enables analysts to forecast business metrics, run what-if scenarios, and visualize results in real time, transforming predictive analytics into actionable strategic simulations.

This tool helps business analysts and strategists simulate future business outcomes like sales or revenue under different 'what-if' scenarios. You input historical business data, define potential changes like increased ad spend or price adjustments, and it generates forecasts showing the likely impact of those decisions. It's designed for anyone who needs to move beyond simple predictions to actively plan and quantify strategic choices.

strategic-planning business-forecasting scenario-analysis marketing-roi financial-modeling

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