ts-app 0.0.1

A simple dashboard app to interactively fit ARIMA models.

Time Series App

A simple web app to learn a little about Time Series analysis and forecasting.

You can create a sample, or upload a file, and interactively fit a time series model on it. To give it a try, click here...

Running locally

Prerequisites

• Python 3.8 and above. Packages used include statsmodels, flask, dash, pandas and NumPy.

1. Fetching necessary files:

   git clone https://github.com/Tim-Abwao/time-series-app.git
   cd time-series-app
   

2. Setting up a virtual environment:

   python3 -m venv venv
   source venv/bin/activate
   pip install -U pip
   pip install -r requirements.txt
   

3. Starting the app:

   • You can use the convenient run.sh script:

     bash run.sh
     

     then browse to localhost:8000 to interact with the web app.

   • You can also use Docker:

     docker build --tag ts_app .
     docker run --name ts -d -p 8000:8000 --rm  ts_app
     

     in which case the app will be running at http://0.0.0.0:8000.