This repository contains a work-in-progress technical preview of potential future Dash features.
The documentation for Dash Labs can be found in the docs/ directory.
Archived in dash-labs v0.4.0:
- 02-CallbackEnhancements.md
- 03-TemplateLayoutSystem.md
- 04-PredefinedTemplates.md
- 05-ComponentPlugingPattern.md
- 06-TemplateIntegrationAndMigration.md
- 07-LongCallback.md
New in dash-labs>=1.0.0:
- 08-MultiPageDashApp.md
- Overview, quickstart apps, reference for the
pagesplug-in
- Overview, quickstart apps, reference for the
- 09-MultiPageDashApp-NestedFolders.md
- Example of organizing app pages in nested folders within the
pages/folder
- Example of organizing app pages in nested folders within the
- 10-MultiPageDashApp-MetaTags.md
- Details on how the title, image, and description are used to create the meta tags which determine how your app looks when shared on social media.
- 11-MultiPageDashApp-LayoutFunctions.md
- Examples of when to make the
layouta function - like when creating a custom menu by page, or using query strings.
- Examples of when to make the
Examples and demos are located in the docs/demos directory.
multi_page_basics- Minimal examples of all the features and basic quickstart apps. (see chapter 8 for details.)
multi_page_example1- A quickstart app using
dash-bootstrap-componentsand some simple callbacks.
- A quickstart app using
multi_page_layout_functions- An app that creates a sidebar menu for certain pages. (See chapter 11 for details.)
multi_page_long_callback- An example of how to use
@app.long_callback()withpages/
- An example of how to use
multi_page_meta_tags- The example app used to show how the meta tags are generated. (See chapter 10 for details.)
multi_page_nested_folders- This is the example app used in chapter 9.
multi_page_query_strings- An example of using query strings in the URL to pass parameters from one page to another.
To install the latest version of dash-labs:
$ pip install -U dash-labs
To install the archived version:
$ pip install dash-labs==0.4.0
We also recommend installing Pandas, which is required by Plotly Express and used in many of our examples.