Metadata-Version: 2.1
Name: ts-app
Version: 0.1.1
Summary: A simple dashboard app to interactively fit ARIMA models.
Home-page: https://github.com/Tim-Abwao/time-series-app
Author: Abwao
Author-email: abwaomusungu@gmail.com
License: MIT
Description: # Time Series App
        
        [![PyPI version](https://badge.fury.io/py/ts-app.svg)](https://badge.fury.io/py/ts-app)
        [![Python application](https://github.com/Tim-Abwao/time-series-app/actions/workflows/python-app.yml/badge.svg)](https://github.com/Tim-Abwao/time-series-app/actions/workflows/python-app.yml)
        
        A dashboard application to learn a little about, and apply *[Time Series][wiki_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][dash], and the time series models are fitted using [Statsmodels][statsmodels].
        
        You can [try it out here][live-link].
        
        [![screencast of the app](https://raw.githubusercontent.com/Tim-Abwao/time-series-app/master/dashboard.gif)][live-link]
        
        
        ## Installation
        
        The easiest way to install the app is from [PyPI][pypi]:
        
        ```bash
        pip install ts-app
        ```
        
        You could also install it directly from the **GitHub** repository:
        
        ```bash
        pip install https://github.com/tim-abwao/time-series-app/archive/main.tar.gz
        ```
        
        ## Basic Usage
        
        The command `ts_app` launches the app:
        
        ```bash
        ts_app
        ```
        
        You can also start the app from an interactive session:
        
        ```python
        >>> import ts_app
        >>> ts_app.run_app()
        ```
        
        Afterwards, press `CTRL` + `C` to stop it.
        
        [wiki_time_series]: https://en.wikipedia.org/wiki/Time_series
        [live-link]: https://time-series-app.herokuapp.com
        [dash]: https://dash.plotly.com/
        [statsmodels]: https://www.statsmodels.org/stable/index.html
        [pypi]:  https://pypi.org/project/ts-app/
        
Keywords: time_series dashboard ARIMA
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown
