A production-ready Flask template with Bootstrap, webpack asset bundling, authentication, and best practices, for use with cookiecutter.
cookiecutter-flask is a project template generator for Flask web applications. It provides a pre-configured, production-ready codebase with authentication, asset management, testing, and deployment setups, allowing developers to quickly start new projects without writing boilerplate code. It solves the problem of repetitive setup for common Flask application features.
Python developers and teams building web applications with Flask who want a standardized, feature-rich starting point that follows best practices.
Developers choose cookiecutter-flask because it bundles essential features like authentication, database migrations, and modern frontend tooling into a single, well-structured template, saving significant initial setup time and enforcing consistent project organization.
A flask template with Bootstrap, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.
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Integrates Webpack for asset bundling and minification with npm support, allowing efficient management of CSS and JavaScript as per the README's asset bundling feature.
Includes Flask-Login, Flask-WTForms, and Flask-Bcrypt for ready-to-use user registration and login, providing a solid auth foundation out of the box.
Uses the Application Factory pattern and Blueprints for modular organization, adhering to Flask best practices and The Twelve-Factor App methodology for configuration.
Comes with environment-based config, caching via Flask-Cache, and a Procfile for PaaS deployment, making it easy to scale to production environments.
Forces Bootstrap 5 and specific frontend setups, which may not align with teams preferring other frameworks or tools, requiring significant customization.
Requires familiarity with both Python and Node.js ecosystems due to Webpack and npm, adding overhead for developers new to full-stack Flask projects.
As seen in the changelog, regular updates include breaking changes like dropping Python and Node versions, necessitating ongoing effort to keep projects current.