Django Cookiecutter

screenshot of Django Cookiecutter
django
tailwind

Django cookiecutter template with Postgres, htmx and Tailwindcss

Overview:

The Django cookiecutter template is a pre-configured template for building Django projects. It incorporates popular technologies such as Postgres, htmx, and Tailwindcss. The template is designed to provide a stable and secure stack, with upgrades only made for vulnerabilities or significant new features.

Features:

  • Python 3.8: Utilizes the latest version of Python for improved performance and functionality.
  • Django 4.0.4: Integrates the powerful Django framework for building web applications.
  • Postgres: Includes support for the popular Postgres database.
  • htmx 1.7.0: Utilizes htmx, a library for making dynamic web pages with minimal JavaScript.
  • Tailwindcss 3.0: Provides a comprehensive CSS framework for designing responsive and modern web interfaces.

Summary:

The Django cookiecutter template is a convenient and efficient way to start building Django projects. With its pre-configured stack including Python, Django, Postgres, htmx, and Tailwindcss, developers can quickly set up a stable and secure environment without the need to manually install and configure each component. By prioritizing stability and security, the template ensures that upgrades are made only for significant reasons, such as vulnerabilities or notable new features. Issues and pull requests are welcomed, providing an opportunity for community collaboration and improvement.

django
Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It follows the model-view-controller (MVC) architectural pattern, providing an extensive set of built-in tools and conventions to streamline the creation of robust and scalable web applications.

tailwind
Tailwind

Tailwind CSS is a utility-first CSS framework that provides pre-defined classes for building responsive and customizable user interfaces.

docker
Docker

A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.