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A command-line utility that creates projects from project templates, e.g. creating a Python package project from a Python package project template.

Project description

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A command-line utility that creates projects from cookiecutters (project templates), e.g. creating a Python package project from a Python package project template.

https://raw.github.com/audreyr/cookiecutter/3ac078356adf5a1a72042dfe72ebfa4a9cd5ef38/logo/cookiecutter_medium.png

We are proud to be an open source sponsor of PyCon 2016.

Features

Did someone say features?

  • Cross-platform: Windows, Mac, and Linux are officially supported.

  • Works with Python 2.7, 3.3, 3.4, 3.5, 3.6, and PyPy. (But you don’t have to know/write Python code to use Cookiecutter.)

  • Project templates can be in any programming language or markup format: Python, JavaScript, Ruby, CoffeeScript, RST, Markdown, CSS, HTML, you name it. You can use multiple languages in the same project template.

  • Simple command line usage:

    # Create project from the cookiecutter-pypackage.git repo template
    # You'll be prompted to enter values.
    # Then it'll create your Python package in the current working directory,
    # based on those values.
    $ cookiecutter https://github.com/audreyr/cookiecutter-pypackage
    # For the sake of brevity, repos on GitHub can just use the 'gh' prefix
    $ cookiecutter gh:audreyr/cookiecutter-pypackage
  • Use it at the command line with a local template:

    # Create project in the current working directory, from the local
    # cookiecutter-pypackage/ template
    $ cookiecutter cookiecutter-pypackage/
  • Or use it from Python:

    from cookiecutter.main import cookiecutter
    
    # Create project from the cookiecutter-pypackage/ template
    cookiecutter('cookiecutter-pypackage/')
    
    # Create project from the cookiecutter-pypackage.git repo template
    cookiecutter('https://github.com/audreyr/cookiecutter-pypackage.git')
  • Directory names and filenames can be templated. For example:

    {{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}.py
  • Supports unlimited levels of directory nesting.

  • 100% of templating is done with Jinja2. This includes file and directory names.

  • Simply define your template variables in a cookiecutter.json file. For example:

    {
        "full_name": "Audrey Roy",
        "email": "audreyr@gmail.com",
        "project_name": "Complexity",
        "repo_name": "complexity",
        "project_short_description": "Refreshingly simple static site generator.",
        "release_date": "2013-07-10",
        "year": "2013",
        "version": "0.1.1"
    }
  • Unless you suppress it with --no-input, you are prompted for input:

    • Prompts are the keys in cookiecutter.json.

    • Default responses are the values in cookiecutter.json.

    • Prompts are shown in order.

  • Cross-platform support for ~/.cookiecutterrc files:

    default_context:
        full_name: "Audrey Roy"
        email: "audreyr@gmail.com"
        github_username: "audreyr"
    cookiecutters_dir: "~/.cookiecutters/"
  • Cookiecutters (cloned Cookiecutter project templates) are put into ~/.cookiecutters/ by default, or cookiecutters_dir if specified.

  • If you have already cloned a cookiecutter into ~/.cookiecutters/, you can reference it by directory name:

    # Clone cookiecutter-pypackage
    $ cookiecutter gh:audreyr/cookiecutter-pypackage
    # Now you can use the already cloned cookiecutter by name
    $ cookiecutter cookiecutter-pypackage
  • You can use local cookiecutters, or remote cookiecutters directly from Git repos or from Mercurial repos on Bitbucket.

  • Default context: specify key/value pairs that you want used as defaults whenever you generate a project

  • Inject extra context with command-line arguments:

    $ cookiecutter --no-input gh:msabramo/cookiecutter-supervisor program_name=foobar startsecs=10
  • Direct access to the Cookiecutter API allows for injection of extra context.

  • Pre- and post-generate hooks: Python or shell scripts to run before or after generating a project.

  • Paths to local projects can be specified as absolute or relative.

  • Projects are always generated to your current directory.

Available Cookiecutters

Making great cookies takes a lot of cookiecutters and contributors. We’re so pleased that there are many Cookiecutter project templates to choose from. We hope you find a cookiecutter that is just right for your needs.

Cookiecutter Specials

These Cookiecutters are maintained by the cookiecutter team:

Categories of Cookiecutters

Python | Python-Django | Python-Pyramid | Cookiecutter (meta) | Ansible | Git | C | C++ | C# | Common Lisp | Elm | Golang | Java | JS | Kotlin | LaTeX/XeTeX | PHP | Berkshelf-Vagrant | HTML | Scala | 6502 Assembly | Data Science | Tornado | Reproducible Science | Continuous Delivery

If you don’t find a cookiecutter that suits your needs here, please consider writing or suggesting one. We wish for our users to find a solution for their use cases, and we provide a list of other projects that we do not maintain for your convenience (please see the Similar Projects section).

Community

The core committer team is @audreyr, @pydanny, @michaeljoseph, @pfmoore, and @hackebrot. We welcome you and invite you to participate.

Stuck? Try one of the following:

  • See the Troubleshooting page.

  • Ask for help on Stack Overflow.

  • You are strongly encouraged to file an issue about the problem, even if it’s just “I can’t get it to work on this cookiecutter” with a link to your cookiecutter. Don’t worry about naming/pinpointing the issue properly.

  • Ask for help on Gitter if you must (but please try one of the other options first, so that others can benefit from the discussion)

Development on Cookiecutter is community-driven:

  • Huge thanks to all the contributors who have pitched in to help make Cookiecutter an even better tool.

  • Everyone is invited to contribute. Read the contributing instructions, then get started.

Connect with other Cookiecutter contributors and users on Gitter:

Encouragement is unbelievably motivating. If you want more work done on Cookiecutter, show support:

Got criticism or complaints?

  • File an issue so that Cookiecutter can be improved. Be friendly and constructive about what could be better. Make detailed suggestions.

  • Keep us in the loop so that we can help. For example, if you are discussing problems with Cookiecutter on a mailing list, file an issue where you link to the discussion thread and/or cc at least 1 core committer on the email.

  • Be encouraging. A comment like “This function ought to be rewritten like this” is much more likely to result in action than a comment like “Eww, look how bad this function is.”

Waiting for a response to an issue/question?

  • Be patient and persistent. All issues are on the core committer team’s radar and will be considered thoughtfully, but we have a lot of issues to work through. If urgent, it’s fine to ping a core committer in the issue with a reminder.

  • Ask others to comment, discuss, review, etc.

  • Search the Cookiecutter repo for issues related to yours.

  • Need a fix/feature/release/help urgently, and can’t wait? @audreyr is available for hire for consultation or custom development.

Support This Project

This project is run by volunteers. Please support them in their efforts to maintain and improve Cookiecutter:

You can also support the maintainers by spreading the word about Two Scoops of Django 1.11!

Two Scoops Press

Backers

We would like to thank the following people for supporting us:

  • Bruno Alla

  • Russell Keith-Magee

Code of Conduct

Everyone interacting in the Cookiecutter project’s codebases, issue trackers, chat rooms, and mailing lists is expected to follow the PyPA Code of Conduct.


A Pantry Full of Cookiecutters

Here is a list of cookiecutters (aka Cookiecutter project templates) for you to use or fork.

Make your own, then submit a pull request adding yours to this list!

Python

Python-Django

Python-Pyramid

  • pyramid-cookiecutter-alchemy: A Cookiecutter (project template) for creating a Pyramid project using SQLite for persistent storage, SQLAlchemy for an ORM, URL dispatch for routing, and Jinja2 for templating.

  • pyramid-cookiecutter-starter: A Cookiecutter (project template) for creating a Pyramid starter project using URL dispatch for routing and either Jinja2, Chameleon, or Mako for templating.

  • pyramid-cookiecutter-zodb: A Cookiecutter (project template) for creating a Pyramid project using ZODB for persistent storage, traversal for routing, and Chameleon for templating.

  • substanced-cookiecutter: A cookiecutter (project template) for creating a Substance D starter project. Substance D is built on top of Pyramid.

  • cookiecutter-pyramid-talk-python-starter: An opinionated Cookiecutter template for creating Pyramid web applications starting way further down the development chain. This cookiecutter template will create a new Pyramid web application with email, sqlalchemy, rollbar, and way more integrated.

Cookiecutter (meta)

Meta-templates for generating Cookiecutter project templates.

Ansible

  • cookiecutter-molecule: Create Molecule roles following community best practices, with an already implemented test infrastructure leveraging Molecule, Docker and Testinfra.

  • cookiecutter-ansible-role: A template to create ansible roles. Forget about file creation and focus on actions.

  • cookiecutter-ansible-role-ci: Create Ansible roles following best practices, with an already implemented test infrastructure leveraging Test-kitchen, Docker and InSpec.

Git

C

C++

C#

Common Lisp

Elm

Golang

Java

JS

Kotlin

LaTeX/XeTeX

PHP

Sublime Text

Berkshelf-Vagrant

  • slim-berkshelf-vagrant: A simple cookiecutter template with sane cookbook defaults for common vagrant/berkshelf cookbooks.

HTML

Scala

6502 Assembly

Data Science

  • widget-cookiecutter: A cookiecutter template for creating a custom Jupyter widget project.

  • cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work in Python. Full documentation available here.

  • cookiecutter-r-data-analysis: Template for a R based workflow to docx (via Pandoc) and pdf (via LaTeX) reports.

Reproducible Science

  • cookiecutter-reproducible-science: A cookiecutter template to start a reproducible and transparent science project including data, models, analysis, and reports (i.e., your scientific paper) with close resemblances to the philosophy of Cookiecutter Data Science.

Continuous Delivery

  • painless-continuous-delivery: A cookiecutter template for software development setups with continuous delivery baked in. Python (Django, Flask), and experimental PHP support.

  • cookiecutter-devenv: A template to add a development and ci environment to an existing project.

Cloud Tools

Tornado

Other

Similar projects

  • Paste has a create option that creates a skeleton project.

  • Diecutter: an API service that will give you back a configuration file from a template and variables.

  • Django’s startproject and startapp commands can take in a –template option.

  • python-packager: Creates Python packages from its own template, with configurable options.

  • Yeoman has a Rails-inspired generator system that provides scaffolding for apps.

  • Pyramid’s pcreate command for creating Pyramid projects from scaffold templates.

  • mr.bob is a filesystem template renderer, meant to deprecate tools such as paster and templer.

  • grunt-init used to be built into Grunt and is now a standalone scaffolding tool to automate project creation.

  • scaffolt consumes JSON generators with Handlebars support.

  • init-skeleton clones or copies a repository, executes npm install and bower install and removes the .git directory.

  • Cog python-based code generation toolkit developed by Ned Batchelder

  • Skaffold python and json config based django/MVC generator, with some add-ons and integrations.

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