A simple dashboard application for interactively fitting ARIMA models.
Project description
Time Series App
A dashboard application to help learn a little about, and apply Time Series analysis & forecasting concepts.
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.
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: '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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.