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A simple dashboard application to interactively fit ARIMA models.

Project description

Time Series App

PyPI version Python application

A dashboard application to learn a little about, and apply Time Series analysis & forecasting.

You can create a sample, or upload a file, and interactively fit a time series model on it.

The dashboard is built with Dash, and the time series models are fitted using Statsmodels.

You can try it out here.

screencast of the app

Installation

The easiest way to install the app is from PyPI:

pip install ts-app

You could also install it directly from the GitHub repository:

pip install https://github.com/tim-abwao/time-series-app/archive/main.tar.gz

Basic Usage

The command ts_app launches the app:

$ ts_app -h
usage: ts_app [-h] [-p PORT] [--host HOST] [--no-browser]

A simple dashboard application to learn time series basics and interactively fit ARIMA models.

optional arguments:
  -h, --help            show this help message and exit
  -p PORT, --port PORT  The TCP port on which to listen (default: 8000).
  --host HOST           A host-name or IP address (default: 'http://localhost').
  --no-browser          Avoid openning a browser tab or window.

You can also start the app from an interactive session:

>>> import ts_app
>>> ts_app.run_app()

Afterwards, press CTRL + C to stop the server.

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