# pydanny/cookiecutter-django **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/pydanny-cookiecutter-django).** 13,539 stars · 3,063 forks · Python · BSD-3-Clause ## Links - GitHub: https://github.com/pydanny/cookiecutter-django - Homepage: https://cookiecutter-django.readthedocs.io - awesome-repositories: https://awesome-repositories.com/repository/pydanny-cookiecutter-django.md ## Description cookiecutter-django is a template-based project generator and production-ready scaffold for Django web applications. It functions as a boilerplate that injects user-defined variables into predefined file templates to automate the creation of a standardized directory structure and initial project configuration. The project provides a production blueprint that integrates a customizable user authentication system, environment-variable configuration, and a containerized development environment. It bundles Django with databases and task queues to ensure consistency across local and production workflows. The scaffold covers several high-level capability areas, including asynchronous task processing via distributed worker systems, cloud-backend asset storage for static and media files, and centralized production monitoring for exception tracking. It also establishes automated testing pipelines and configured email delivery services. ## Tags ### Development Tools & Productivity - [Project Scaffolding Templates](https://awesome-repositories.com/f/development-tools-productivity/project-scaffolding-templates.md) — Generates a standardized project directory structure by injecting user-defined variables into predefined file templates. - [Project Scaffolding](https://awesome-repositories.com/f/development-tools-productivity/project-scaffolding-config-code-generation/project-scaffolding-configuration/project-scaffolding.md) — Automates the bootstrapping of a standardized project structure, user authentication, and environment configuration. - [Project Templates](https://awesome-repositories.com/f/development-tools-productivity/project-templates.md) — Provides a production-ready boilerplate for initializing the directory structure and settings of Django applications. ### Software Engineering & Architecture - [Reference Apps & Blueprints](https://awesome-repositories.com/f/software-engineering-architecture/application-lifecycle-management/reference-apps-and-blueprints.md) — Provides a comprehensive production blueprint with pre-configured background tasks, cloud storage, and error monitoring. - [Distributed Task Queues](https://awesome-repositories.com/f/software-engineering-architecture/distributed-task-queues.md) — Integrates distributed task queues to offload long-running operations to background worker processes. - [Project Bootstrapping Tools](https://awesome-repositories.com/f/software-engineering-architecture/project-bootstrapping-tools.md) — Bootstraps a production-ready project structure with optimized settings and initial test coverage. ([source](https://github.com/pydanny/cookiecutter-django#readme)) ### Part of an Awesome List - [Python and Django Boilerplates](https://awesome-repositories.com/f/awesome-lists/devtools/python-and-django-boilerplates.md) — Provides a production-ready boilerplate for generating the directory structure and settings of Django web applications. - [Error Logging and Monitoring](https://awesome-repositories.com/f/awesome-lists/devtools/error-logging-and-monitoring.md) — Tracks and logs application crashes and exceptions automatically using integrated external monitoring services. ([source](https://github.com/pydanny/cookiecutter-django#readme)) - [Developer Tools](https://awesome-repositories.com/f/awesome-lists/devtools/developer-tools.md) — Template for bootstrapping Django web projects. - [Project Scaffolding](https://awesome-repositories.com/f/awesome-lists/devtools/project-scaffolding.md) — A template for quickly generating new project structures. ### DevOps & Infrastructure - [Asynchronous Task Processing](https://awesome-repositories.com/f/devops-infrastructure/automation-orchestration/task-execution-frameworks/task-job-management/task-queues/asynchronous-task-processing.md) — Handles background jobs and long-running operations using distributed worker systems to maintain UI responsiveness. - [Environment Variable Configurations](https://awesome-repositories.com/f/devops-infrastructure/configuration-management/environment-management/environment-variable-management/environment-variable-configurations.md) — Decouples application settings from code by injecting runtime environment variables into the global configuration. - [Background Task Runners](https://awesome-repositories.com/f/devops-infrastructure/automation-orchestration/task-execution-frameworks/task-job-management/background-task-runners.md) — Executes asynchronous operations and monitors task progress using a distributed background worker system. ([source](https://github.com/pydanny/cookiecutter-django#readme)) - [Container Orchestration Configuration](https://awesome-repositories.com/f/devops-infrastructure/container-orchestration-configuration.md) — Defines consistent development and production runtimes using container images and orchestration configuration. - [Containerized Application Deployments](https://awesome-repositories.com/f/devops-infrastructure/containerized-application-deployments.md) — Sets up production-ready environments using container images integrated with cloud storage and environment management. - [Containerized Development Environments](https://awesome-repositories.com/f/devops-infrastructure/containerized-development-environments.md) — Standardizes development and production workflows using containerized environments for consistent dependency management. ([source](https://github.com/pydanny/cookiecutter-django#readme)) - [Storage Backend Integrations](https://awesome-repositories.com/f/devops-infrastructure/storage-backend-integrations.md) — Provides interfaces to route static and uploaded media files to external cloud storage providers. ### Security & Cryptography - [User Profile Management](https://awesome-repositories.com/f/security-cryptography/identity-access-management/identity-management/user-management/user-profile-management.md) — Implements a customizable user profile model to extend the default identity system for flexible attribute management. - [User Authentication Systems](https://awesome-repositories.com/f/security-cryptography/user-authentication-systems.md) — Provides a customizable identity system for verifying user identities and handling registration. ([source](https://github.com/pydanny/cookiecutter-django#readme)) ### Data & Databases - [Media Asset Managers](https://awesome-repositories.com/f/data-databases/storage-abstraction/local-filesystem-storage/media-asset-managers.md) — Manages the persistence and retrieval of user-uploaded media assets via cloud storage backends. ([source](https://github.com/pydanny/cookiecutter-django#readme)) ### System Administration & Monitoring - [Centralized Logging Systems](https://awesome-repositories.com/f/system-administration-monitoring/centralized-logging-systems.md) — Aggregates and manages production logs and exceptions through a centralized monitoring system for debugging. ### Testing & Quality Assurance - [Automated Testing Tools](https://awesome-repositories.com/f/testing-quality-assurance/automated-testing-tools.md) — Provides a workflow of automated testing tools to identify regressions and ensure stability during development. - [Automated Test Runners](https://awesome-repositories.com/f/testing-quality-assurance/software-testing/test-execution-orchestration/automated-test-runners.md) — Establishes automated test runners to execute test suites and perform quality checks within the pipeline. ([source](https://github.com/pydanny/cookiecutter-django#readme)) ### Web Development - [External Exception Reporters](https://awesome-repositories.com/f/web-development/exception-handling/external-exception-reporters.md) — Integrates external monitoring services to track and log application crashes and stack traces in production.