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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.
    • 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.

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