Cookiecutter

cookiecutter.readthedocs.io ↗

Generate a new project from a reusable template repository and its configuration prompts.

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Screenshot of the Cookiecutter homepage

What it does

Cookiecutter is a cross-platform command-line utility for generating projects from reusable templates called cookiecutters. A template defines files and variables; Cookiecutter asks for values and creates a new directory with those values applied. It can work from public or private Git repositories and local template archives, so teams can standardize starter projects without maintaining a separate generator for each one.

Choose a template repository, then run Cookiecutter against its Git URL or a supported shorthand such as gh:owner/template. The CLI asks for the template's configured values and generates a project directory. The official usage guide demonstrates creating a project from a template repository and then editing the generated files. Cookiecutter is most useful when a team has a starter layout that changes over time: a Python package, for example, can include its build files and default project structure in one template and prompt for the package name at creation. Treat the generated project as a starting point, not proof that its dependencies, release process, or security settings fit the new codebase. Review the template itself before using it, especially when it comes from outside your organization. The Cookiecutter CLI is BSD-3-Clause licensed. The generator is distinct from any individual cookiecutter template; templates have their own contents and licenses, which users should verify separately.

Strengths

  • The CLI can generate a project from a Git repository, supported shorthand, or other documented template sources.
  • Template variables make it possible to reuse a structure while prompting for project-specific values.
  • The tool works across project types rather than being restricted to one language's package skeleton.

Watch out for

  • Generated projects inherit the quality and maintenance of the chosen template, so inspect it before use.
  • A generated scaffold still needs project-specific dependency, security, and release review.

Best for

  • Teams that repeatedly create projects with a shared directory structure or baseline files.
  • Developers maintaining reusable starters for Python, C, or other project types.
  • Organizations that want a command-line template workflow without locking into one language.

Sources