cookiecutter-django
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
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Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
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Quick Overview
Cookiecutter-django is a project template for Django web applications, created using the Cookiecutter tool. It provides a robust starting point for Django projects with pre-configured settings, best practices, and optional integrations, allowing developers to quickly set up a production-ready Django application.
Pros
- Comprehensive setup with production-ready configurations
- Includes optional integrations for popular tools and services (e.g., Celery, Sentry, Docker)
- Follows Django best practices and security recommendations
- Regularly updated and maintained by the community
Cons
- Can be overwhelming for beginners due to its extensive feature set
- Some included features might be unnecessary for smaller projects
- Requires familiarity with Cookiecutter and command-line tools
- May need customization to fit specific project requirements
Getting Started
To use cookiecutter-django, follow these steps:
- Install Cookiecutter:
pip install cookiecutter
- Generate a new Django project:
cookiecutter https://github.com/cookiecutter/cookiecutter-django
-
Answer the prompts to customize your project.
-
Set up your development environment:
cd <your-project-name>
pip install -r requirements/local.txt
python manage.py migrate
python manage.py runserver
Your Django project is now set up and ready for development!
Competitor Comparisons
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
Pros of cookiecutter-django
- Comprehensive Django project template with many built-in features
- Regular updates and active community support
- Extensive documentation and best practices implementation
Cons of cookiecutter-django
- Can be overwhelming for beginners due to its complexity
- May include unnecessary features for smaller projects
- Steeper learning curve compared to simpler templates
Code Comparison
Both repositories are the same project, so there's no code comparison to be made. However, here's a sample of the project structure generated by cookiecutter-django:
project_name/
├── config/
│ ├── settings/
│ ├── urls.py
│ └── wsgi.py
├── manage.py
└── project_name/
├── users/
├── static/
└── templates/
This structure provides a well-organized foundation for Django projects, including separate configuration files, user management, and dedicated directories for static files and templates.
Bleeding edge django template focused on code quality and security.
Pros of wemake-django-template
- Stricter code quality standards with pre-configured linters and formatters
- More comprehensive Docker setup, including development and production configurations
- Enhanced security features, such as Django-axes for login attempt tracking
Cons of wemake-django-template
- Steeper learning curve due to its opinionated nature and extensive configuration
- Less flexibility for customization, as it enforces specific coding styles and practices
- Potentially overwhelming for beginners or small projects due to its complexity
Code Comparison
cookiecutter-django:
# config/settings/base.py
INSTALLED_APPS = [
"django.contrib.auth",
"django.contrib.contenttypes",
# ... other default apps
"{{ cookiecutter.project_slug }}.users.apps.UsersConfig",
]
wemake-django-template:
# server/settings/components/common.py
INSTALLED_APPS: Tuple[str, ...] = (
# Default django apps:
'django.contrib.auth',
'django.contrib.contenttypes',
# ... other default apps
# Your apps go here:
'server.apps.main',
)
The wemake-django-template uses type hints and a more structured approach to organizing settings, while cookiecutter-django follows a more traditional Django setup.
Django 5, React, Bootstrap 5 with Python 3 and Webpack project boilerplate
Pros of django-react-boilerplate
- Includes React frontend setup, ideal for modern single-page applications
- Provides Docker configuration for easier deployment and development
- Offers pre-configured CI/CD pipelines for GitLab and CircleCI
Cons of django-react-boilerplate
- Less comprehensive Django backend features compared to cookiecutter-django
- Fewer customization options during project setup
- May have a steeper learning curve for developers new to React
Code Comparison
django-react-boilerplate (webpack.base.config.js):
module.exports = {
module: {
rules: [
{
test: /\.js$/,
exclude: /node_modules/,
use: ['babel-loader']
},
],
},
};
cookiecutter-django (base.py):
INSTALLED_APPS = [
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.sessions",
"django.contrib.sites",
"django.contrib.messages",
"django.contrib.staticfiles",
]
The code snippets highlight the focus on frontend configuration in django-react-boilerplate, while cookiecutter-django emphasizes backend Django setup.
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Cookiecutter Django
Powered by Cookiecutter, Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
- Documentation: https://cookiecutter-django.readthedocs.io/en/latest/
- See Troubleshooting for common errors and obstacles
- If you have problems with Cookiecutter Django, please open issues don't send emails to the maintainers.
Features
- For Django 5.0
- Works with Python 3.12
- Renders Django projects with 100% starting test coverage
- Twitter Bootstrap v5
- 12-Factor based settings via django-environ
- Secure by default. We believe in SSL.
- Optimized development and production settings
- Registration via django-allauth
- Comes with custom user model ready to go
- Optional basic ASGI setup for Websockets
- Optional custom static build using Gulp or Webpack
- Send emails via Anymail (using Mailgun by default or Amazon SES if AWS is selected cloud provider, but switchable)
- Media storage using Amazon S3, Google Cloud Storage, Azure Storage or nginx
- Docker support using docker-compose for development and production (using Traefik with LetsEncrypt support)
- Procfile for deploying to Heroku
- Instructions for deploying to PythonAnywhere
- Run tests with unittest or pytest
- Customizable PostgreSQL version
- Default integration with pre-commit for identifying simple issues before submission to code review
Optional Integrations
These features can be enabled during initial project setup.
- Serve static files from Amazon S3, Google Cloud Storage, Azure Storage or Whitenoise
- Configuration for Celery and Flower (the latter in Docker setup only)
- Integration with Mailpit for local email testing
- Integration with Sentry for error logging
Constraints
- Only maintained 3rd party libraries are used.
- Uses PostgreSQL everywhere: 12 - 16 (MySQL fork also available).
- Environment variables for configuration (This won't work with Apache/mod_wsgi).
Support this Project!
This project is an open source project run by volunteers. You can sponsor us via OpenCollective or individually via GitHub Sponsors:
- Daniel Roy Greenfeld, Project Lead (GitHub, Patreon): expertise in Django and AWS ELB.
- Fabio C. Barrionuevo, Core Developer (GitHub): expertise in Python/Django, hands-on DevOps and frontend experience.
- Bruno Alla, Core Developer (GitHub): expertise in Python/Django and DevOps.
- Nikita Shupeyko, Core Developer (GitHub): expertise in Python/Django, hands-on DevOps and frontend experience.
Projects that provide financial support to the maintainers:
Two Scoops of Django
Two Scoops of Django 3.x is the best ice cream-themed Django reference in the universe!
PyUp
PyUp brings you automated security and dependency updates used by Google and other organizations. Free for open source projects!
Usage
Let's pretend you want to create a Django project called "redditclone". Rather than using startproject
and then editing the results to include your name, email, and various configuration issues that always get forgotten until the worst possible moment, get cookiecutter to do all the work.
First, get Cookiecutter. Trust me, it's awesome:
$ pip install "cookiecutter>=1.7.0"
Now run it against this repo:
$ cookiecutter https://github.com/cookiecutter/cookiecutter-django
You'll be prompted for some values. Provide them, then a Django project will be created for you.
Warning: After this point, change 'Daniel Greenfeld', 'pydanny', etc to your own information.
Answer the prompts with your own desired options. For example:
Cloning into 'cookiecutter-django'...
remote: Counting objects: 550, done.
remote: Compressing objects: 100% (310/310), done.
remote: Total 550 (delta 283), reused 479 (delta 222)
Receiving objects: 100% (550/550), 127.66 KiB | 58 KiB/s, done.
Resolving deltas: 100% (283/283), done.
project_name [My Awesome Project]: Reddit Clone
project_slug [reddit_clone]: reddit
description [Behold My Awesome Project!]: A reddit clone.
author_name [Daniel Roy Greenfeld]: Daniel Greenfeld
domain_name [example.com]: myreddit.com
email [daniel-greenfeld@example.com]: pydanny@gmail.com
version [0.1.0]: 0.0.1
Select open_source_license:
1 - MIT
2 - BSD
3 - GPLv3
4 - Apache Software License 2.0
5 - Not open source
Choose from 1, 2, 3, 4, 5 [1]: 1
Select username_type:
1 - username
2 - email
Choose from 1, 2 [1]: 1
timezone [UTC]: America/Los_Angeles
windows [n]: n
Select an editor to use. The choices are:
1 - None
2 - PyCharm
3 - VS Code
Choose from 1, 2, 3 [1]: 1
use_docker [n]: n
Select postgresql_version:
1 - 16
2 - 15
3 - 14
4 - 13
5 - 12
Choose from 1, 2, 3, 4, 5 [1]: 1
Select cloud_provider:
1 - AWS
2 - GCP
3 - None
Choose from 1, 2, 3 [1]: 1
Select mail_service:
1 - Mailgun
2 - Amazon SES
3 - Mailjet
4 - Mandrill
5 - Postmark
6 - Sendgrid
7 - Brevo (formerly SendinBlue)
8 - SparkPost
9 - Other SMTP
Choose from 1, 2, 3, 4, 5, 6, 7, 8, 9 [1]: 1
use_async [n]: n
use_drf [n]: y
Select frontend_pipeline:
1 - None
2 - Django Compressor
3 - Gulp
4 - Webpack
Choose from 1, 2, 3, 4 [1]: 1
use_celery [n]: y
use_mailpit [n]: n
use_sentry [n]: y
use_whitenoise [n]: n
use_heroku [n]: y
Select ci_tool:
1 - None
2 - Travis
3 - Gitlab
4 - Github
Choose from 1, 2, 3, 4 [1]: 4
keep_local_envs_in_vcs [y]: y
debug [n]: n
Enter the project and take a look around:
$ cd reddit/
$ ls
Create a git repo and push it there:
$ git init
$ git add .
$ git commit -m "first awesome commit"
$ git remote add origin git@github.com:pydanny/redditclone.git
$ git push -u origin master
Now take a look at your repo. Don't forget to carefully look at the generated README. Awesome, right?
For local development, see the following:
Community
- Have questions? Before you ask questions anywhere else, please post your question on Stack Overflow under the cookiecutter-django tag. We check there periodically for questions.
- If you think you found a bug or want to request a feature, please open an issue.
- For anything else, you can chat with us on Discord.
For Readers of Two Scoops of Django
You may notice that some elements of this project do not exactly match what we describe in chapter 3. The reason for that is this project, amongst other things, serves as a test bed for trying out new ideas and concepts. Sometimes they work, sometimes they don't, but the end result is that it won't necessarily match precisely what is described in the book I co-authored.
For PyUp Users
If you are using PyUp to keep your dependencies updated and secure, use the code cookiecutter during checkout to get 15% off every month.
"Your Stuff"
Scattered throughout the Python and HTML of this project are places marked with "your stuff". This is where third-party libraries are to be integrated with your project.
For MySQL users
To get full MySQL support in addition to the default Postgresql, you can use this fork of the cookiecutter-django: https://github.com/mabdullahadeel/cookiecutter-django-mysql
Releases
Need a stable release? You can find them at https://github.com/cookiecutter/cookiecutter-django/releases
Not Exactly What You Want?
This is what I want. It might not be what you want. Don't worry, you have options:
Fork This
If you have differences in your preferred setup, I encourage you to fork this to create your own version. Once you have your fork working, let me know and I'll add it to a 'Similar Cookiecutter Templates' list here. It's up to you whether to rename your fork.
If you do rename your fork, I encourage you to submit it to the following places:
- cookiecutter so it gets listed in the README as a template.
- The cookiecutter grid on Django Packages.
Submit a Pull Request
We accept pull requests if they're small, atomic, and make our own project development experience better.
Articles
- Why cookiecutter-django is Essential for Your Next Django Project - Aug. 4, 2024
- How to Make Your Own Django Cookiecutter Template! - Aug. 10, 2023
- Cookiecutter Django With Amazon RDS - Apr, 2, 2021
- Complete Walkthrough: Blue/Green Deployment to AWS ECS using GitHub actions - June 10, 2020
- Using cookiecutter-django with Google Cloud Storage - Mar. 12, 2019
- cookiecutter-django with Nginx, Route 53 and ELB - Feb. 12, 2018
- cookiecutter-django and Amazon RDS - Feb. 7, 2018
- Using Cookiecutter to Jumpstart a Django Project on Windows with PyCharm - May 19, 2017
- Exploring with Cookiecutter - Dec. 3, 2016
- Introduction to Cookiecutter-Django - Feb. 19, 2016
- Django and GitLab - Running Continuous Integration and tests with your FREE account - May. 11, 2016
- Development and Deployment of Cookiecutter-Django on Fedora - Jan. 18, 2016
- Development and Deployment of Cookiecutter-Django via Docker - Dec. 29, 2015
- How to create a Django Application using Cookiecutter and Django 1.8 - Sept. 12, 2015
Have a blog or online publication? Write about your cookiecutter-django tips and tricks, then send us a pull request with the link.
Top Related Projects
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
Bleeding edge django template focused on code quality and security.
Django 5, React, Bootstrap 5 with Python 3 and Webpack project boilerplate
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot