Streamlit Prophet Test

Streamlit project to test time-series-forecasting library prophet from facebook.

Resources

• prophet Website https://facebook.github.io/prophet/docs/installation.html
• prophet Github https://github.com/facebook/prophet
• This example app in Github: https://github.com/Franky1/Streamlit-Prophet-Test

Issues

• Installation of pystan and prophet has been tricky in the past, because of the dependencies. These issues have been resolved and since prophet version 1.1 the dependency from pystan is removed and installation of prophet is now a simple pip install without any hassles.
• Be aware that the prophet library was renamed in 2020 from fbprophet to prophet, therefore use the newer naming scheme in your python application.
• The prophet library should currently work with python versions from 3.7 to 3.10 on all major architectures win_amd64, linux_x86_64 and macosx_x86_64. Python wheels for these python versions and architectures are available on pypi repository.

ToDo

• Add a streamlit example of a time-series-forecasting application with prophet.
• Add a solution that works on Streamlit Cloud.
• Cleanup Github repository.
• Add some alternatives for time-series-forecasting libraries.

Usage

Streamlit Cloud

• Clone this repository in GitHub.
• Sign in to your Streamlit account.
• Add the repository as new Streamlit project.
• Test the project.
• Modify the project to your needs.

Docker local

A Dockerfile is provided that is based on the python3.10-slim image. You can build and run the Docker image for local usage with the following commands:

# build the docker image
docker build --progress=plain --tag streamlitprophet:latest .
# run the docker container
docker run -ti -p 8501:8501 --rm streamlitprophet:latest
# run the docker container with mounted project for further development
docker run -ti -p 8501:8501 -v ${pwd}:/app --rm streamlitprophet:latest

Lokal Docker Streamlit runtime

A Dockerfile is provided for local testing of the Streamlit app. Here some useful docker commands:

# build the docker image
docker build --progress=plain --tag streamlitprophet:latest .
# run the docker container
docker run -ti -p 8501:8501 --rm streamlitprophet:latest
# run the docker container with shell
docker run -ti -p 8501:8501 --rm streamlitprophet:latest /bin/bash
# run the docker container with mounted project for further development
docker run -ti -p 8501:8501 -v $(pwd):/app --rm streamlitprophet:latest  # linux
docker run -ti -p 8501:8501 -v ${pwd}:/app --rm streamlitprophet:latest  # windows powershell
docker run -ti -p 8501:8501 -v %cd%:/app --rm streamlitprophet:latest  # windows cmd.exe
# testing in the naked python container
docker run -ti --rm python:3.10-slim /bin/bash
 # cleanup dangling docker images/layers
docker builder prune --force
docker image prune --filter="dangling=true" --force

Open local docker streamlit app site: http://localhost:8501/

Port 8501 is the default port for Streamlit.

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Status

Updated prophet. Last change: 09.07.2022