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# Dashboards in Python
# Infrastructure Dashboards
This repository contains the source code for the infrastructure dashboards developed with [plot.ly and dash](https://dash.plot.ly/).
### Why Plotly
Plotly allows you to make beautiful and interactive dashboards in just a few lines of code, with data virtually any source that has a Python API.
### How do the Infrastructure Dashboards work?
Plotly objects consist of one or more data components and a layout component. Both have subcomponents. Most, but not all, of the formatting is controlled in the layout.
This app is divided into the following resources:
* `wrappers/`: where the API wrappers, `style.py` and `settings.py` live.
* `.env`: where all the constants and keys/secrets are set.
* `app.py`: entry point for the dashboard app: where the layout elements and the callback functions are set.
-----
## Running locally in dev mode
### Setting up
Add an `.env` file:
```
cp .env_example .env
```
Create an virtual environment and install dependencies:
```
virtualenv venv
source venv/bin/activate
```
### Installing
```
make install
```
### Running
Run server at localhost:
```
make run
```
The dahsboard should be available at `http://127.0.0.1:8051/` (note that the port is set in `.env`).
-------------
### Learning Resources
## Learning Resources
* [Build Your own Data Dashboard](https://towardsdatascience.com/build-your-own-data-dashboard-93e4848a0dcf).
* [A Python Programmers’ Guide to Dashboarding](https://medium.com/@drimik99/a-python-programmers-guide-to-dashboarding-part-1-8db0c48eee9d).
* [Interactive Python Dashboards with Plotly and Dash](https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash).
* [Make Your Data Visualizations Interactive with Plotly](https://towardsdatascience.com/its-2019-make-your-data-visualizations-interactive-with-plotly-b361e7d45dc6).
* [Interactive Python Dashboards with plotly and dash](https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/).