Dash Component Boilerplate

This repository contains a Cookiecutter template to create your own Dash components.

Usage

To use this boilerplate:

1. Install the requirements:

   $ pip install cookiecutter
   $ pip install virtualenv
   

   Node.js/npm is also required.
2. Run cookiecutter on the boilerplate repo:

   $ cookiecutter https://github.com/plotly/dash-component-boilerplate.git
   

3. Answer the questions about the project.
   • project_name: This is the "human-readable" name of your project. For example, "Dash Core Components".
   • project_shortname: is derived from the project name, it is the name of the "Python library" for your project. By default, this is generated from your project_name by lowercasing the name and replacing spaces & - with underscores. For example, for "Dash Core Components" this would be "dash_core_components".
   • component_name: This is the name of the initial component that is generated. As a JavaScript class name it should be in PascalCase. defaults to the PascalCase version of project_shortname.
   • jl_prefix: Optional prefix for Julia components. For example, dash_core_components uses "dcc" so the Python dcc.Input becomes dccInput in Julia, and dash_table uses "dash" to make dashDataTable.
   • r_prefix: Optional prefix for R components. For example, dash_core_components uses "dcc" so the Python dcc.Input becomes dccInput in R, and dash_table uses "dash" to make dashDataTable.
   • author_name and author_email: for package.json and DESCRIPTION (for R) metadata.
   • github_org: If you plan to push this to GitHub, enter the organization or username that will own it (for URLs to the project homepage and bug report page)
   • description: the project description, included in package.json.
   • license: License type for the component library. Plotly recommends the MIT license, but you should read the generated LICENSE file carefully to make sure this is right for you.
   • publish_on_npm: Set to false to only serve locally from the package data.
   • install_dependencies: Set to false to only generate the project structure.
4. The project will be generated in a folder named with your project_shortname.
5. Follow the directions in the generated README to start developing your new Dash component.

Installing the dependencies can take a long time. They will be installed in a folder named venv, created by virtualenv. This ensures that dash is installed to generate the components in the build:py_and_r script of the generated package.json.

More Resources

• Learn more about Dash: https://dash.plotly.com
• Questions about this project? Create an issue: https://github.com/plotly/dash-component-boilerplate/issues/new
• Watch the component boilerplate repository to stay informed of changes to our components.
• React guide for Python developers
• Need help with your component? View the Dash Community Forum: https://community.plotly.com/c/dash
• Examples of Dash component libraries include dash-core-components: https://github.com/plotly/dash-core-components and dash-html-components: https://github.com/plotly/dash-html-components.
• To get a feel for what's involved in creating a component, read through the README.MD file that this cookiecutter project generates