# Quickboard
#### *A simple Python package for creating quick, modular dashboards*
## Overview
Quickboard is a collection of Python classes and utilities for making scalable dashboards. Built on top of
[Dash](https://github.com/plotly/dash) and [Plotly](https://github.com/plotly/plotly.py), Quickboard provides an assortment of tools and pre-made components to mix and match,
achieving a balance between ease-of-use and customizability.
All visible Quickboard components are instances of `dash.html` objects, so you can fully customize them using knowledge
of the `dash` package. As `plotly` has `plotly.express`, this package can be thought of an (unofficial) incarnation of
an "express" version of `dash`, allowing you to quickly prototype a dashboard, while allowing for full customization
using the usual `dash` API.
The following example was made using Quickboard.
The Quickboard package contains three subpackages of interest for developing dashboards:
* base - the core components used to make the backbone of the dashboard,
* plugins - highly customizable add-ons to augment your other components,
* (DEPRECATED) textboxes - components for having dynamically updated text (to be removed in future version).
More details on using these can be found [below](#usage).
## Install Guide
To install, simply run
```
pip install quickboard
```
in your virtual environment.
## Usage
Once you have some datasets you'd like to visualize and present with a dashboard, you can start making
Quickboard components to achieve this purpose. Check out the [Component Gallery](docs/component_gallery.md) to see what
you can create with just a few lines of code.
Once you have a few components you'd like to put together into a larger app, or to take advantage of using tab-level
plugin interactions, you can use a few of the other Quickboard classes to achieve this. The general layout of a full
Quickboard consists of:
* a **Quickboard** object to hold everything together;
* a (n optional) list of **BaseTab** objects to organize visuals into tabs;
* a **Sidebar** calibrated to hold different **plugins** based on the current tab.
Within each tab, we have
* various **ContentGrid** objects to display other components in a grid, with customizable column wrapping length;
* different **DynamicPanel** objects, materialized in the form of a **PlotPanel** or **DataPanel**, which house the
primary data displays, updatable via the sidebar plugins and other panel specific **ControlPlugin** objects.
Understanding how to compose and mix these components will allow for a huge variety in producible dashboards. For more
info on how to use them, check out the docstrings (e.g. `help(ContentGrid)`) or see the
[Guided Example](https://github.com/broadinstitute/quickboard/blob/main/docs/beginner_example.md).
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"description": "# Quickboard\n\n#### *A simple Python package for creating quick, modular dashboards*\n\n\n## Overview\n\nQuickboard is a collection of Python classes and utilities for making scalable dashboards. Built on top of \n[Dash](https://github.com/plotly/dash) and [Plotly](https://github.com/plotly/plotly.py), Quickboard provides an assortment of tools and pre-made components to mix and match, \nachieving a balance between ease-of-use and customizability.\n\nAll visible Quickboard components are instances of `dash.html` objects, so you can fully customize them using knowledge \nof the `dash` package. As `plotly` has `plotly.express`, this package can be thought of an (unofficial) incarnation of \nan \"express\" version of `dash`, allowing you to quickly prototype a dashboard, while allowing for full customization \nusing the usual `dash` API.\n\nThe following example was made using Quickboard.\n\n![An example screenshot](https://github.com/broadinstitute/quickboard/raw/main/docs/images/README_example.jpg \"All tabs are automatically scrollable!\")\n\nThe Quickboard package contains three subpackages of interest for developing dashboards:\n* base - the core components used to make the backbone of the dashboard,\n* plugins - highly customizable add-ons to augment your other components,\n* (DEPRECATED) textboxes - components for having dynamically updated text (to be removed in future version).\n\nMore details on using these can be found [below](#usage).\n\n## Install Guide\n\nTo install, simply run\n```\npip install quickboard\n```\nin your virtual environment.\n\n## Usage\n\nOnce you have some datasets you'd like to visualize and present with a dashboard, you can start making\nQuickboard components to achieve this purpose. Check out the [Component Gallery](docs/component_gallery.md) to see what\nyou can create with just a few lines of code.\n\nOnce you have a few components you'd like to put together into a larger app, or to take advantage of using tab-level\nplugin interactions, you can use a few of the other Quickboard classes to achieve this. The general layout of a full \nQuickboard consists of:\n* a **Quickboard** object to hold everything together;\n* a (n optional) list of **BaseTab** objects to organize visuals into tabs;\n* a **Sidebar** calibrated to hold different **plugins** based on the current tab.\n\nWithin each tab, we have\n* various **ContentGrid** objects to display other components in a grid, with customizable column wrapping length;\n* different **DynamicPanel** objects, materialized in the form of a **PlotPanel** or **DataPanel**, which house the\nprimary data displays, updatable via the sidebar plugins and other panel specific **ControlPlugin** objects.\n\nUnderstanding how to compose and mix these components will allow for a huge variety in producible dashboards. For more\ninfo on how to use them, check out the docstrings (e.g. `help(ContentGrid)`) or see the \n[Guided Example](https://github.com/broadinstitute/quickboard/blob/main/docs/beginner_example.md).\n",
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