Skip to content

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

License

Notifications You must be signed in to change notification settings

zachrenwick/streamlit_forecasting_app

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

📈 Automated Time Series Forecasting

Background: This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Try it out here: https://share.streamlit.io/zachrenwick/streamlit_forecasting_app/app.py

You'll be able to import your data from a CSV file, visualize trends and features, analyze forecast performance, and finally download the created forecast 😵

In beta mode

Created by Zach Renwick: https://twitter.com/zachrenwick.

Code available here: https://github.com/zachrenwick/streamlit_forecasting_app

Screenshot1 Screenshot2 Screenshot3 Screenshot4

Docker

  • Build with docker build -t ts-forecast-app . (takes some time!)
  • Run with docker run -p 8501:8501 ts-forecast-app:latest
  • Open http://localhost:8501/

Example data

The Peyton Manning data from the prophet quickstart is included in the example_data folder

About

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published