# Time Series App
[](https://badge.fury.io/py/ts-app)
[](https://github.com/Tim-Abwao/time-series-app/actions/workflows/python-app.yml)
A dashboard application to help learn a little about, and apply *[Time Series][wiki_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][dash], and the time series models are fitted using [Statsmodels][statsmodels].
You can [try it out here][live-link], courtesy of [Render][render].
>**NOTE:** Free-hosted apps on *Render* might take a while to load since they are shut down when not in use.
## Installation
The easiest way to get the app is from [PyPI][pypi]:
```bash
pip install ts-app
```
## Basic Usage
The command `ts_app` launches the app:
```bash
$ 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:
```python
>>> import ts_app
>>> ts_app.run_app()
```
Afterwards, press `CTRL` + `C` to stop the server.
[wiki_time_series]: https://en.wikipedia.org/wiki/Time_series
[live-link]: https://time-series-app.onrender.com
[dash]: https://dash.plotly.com/
[render]: https://render.com/
[statsmodels]: https://www.statsmodels.org/stable/index.html
[pypi]: https://pypi.org/project/ts-app/
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