cookiecutter/cookiecutter-django

Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 4th, 2026
Created on August 14th, 2013
Open Issues & Pull Requests: 101 (+0)
GitHub issues: Enabled
Number of forks: 3,070
Total Stargazers: 13,605 (+0)
Total Subscribers: 199 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 14.6 hours
Mean response time: 51.4 days
90th percentile: 47.1 days
Tracked items: 104

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 79% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 4 hours, while "enhancement" waits about 24 hours. Only 10% of issues opened in the past year have been closed. Three people close 83% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 28
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 949 days
Stale 30+ days: 25
Stale 90+ days: 24

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (37)
  • enhancement (37)
  • question (8)
  • docker (3)
  • help wanted (3)
  • answered (2)
  • docs (2)
  • high priority (2)

Most active issues this week

Detailed Description

Cookiecutter Django is a project template framework that jumpstarts production-ready Django projects quickly using the Cookiecutter templating tool.

The tool addresses the friction of setting up a new Django project by providing a pre-configured scaffold with production-grade defaults already in place. Rather than assembling infrastructure piece by piece, developers answer a series of prompts during project generation to customize the template for their needs. The generated project includes 100% test coverage from the start, secure-by-default settings aligned with the 12-Factor methodology, and integration points for common production services.

Teams building Django applications should consider this template if they want to skip boilerplate setup and adopt opinionated but battle-tested conventions. It suits projects that will run on Docker, use PostgreSQL, and benefit from integrations like Celery for task queues, Sentry for error tracking, or cloud storage providers like S3 and Google Cloud Storage. The template enforces use of only maintained third-party libraries and environment-based configuration, which works well for containerized deployments but not with Apache mod_wsgi. Developers who prefer minimal scaffolding or need MySQL instead of PostgreSQL should evaluate whether the template's constraints align with their requirements.

The project maintains active engagement with its issue tracker, providing a documented troubleshooting guide and requesting that problems be reported through GitHub issues rather than direct contact. Development activity shows consistent attention to keeping dependencies current, with support for recent Django and Python versions and regular updates to included tools like Bootstrap and pre-commit hooks. The project accepts community contributions and maintains documentation covering deployment to multiple platforms including Heroku and PythonAnywhere.