cookiecutter-data-science and biscuit-cutter
These are competitors: both provide cookiecutter templates for initializing data science project structures, and users would typically choose one as their preferred scaffolding tool rather than use both together.
About cookiecutter-data-science
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Built on the [cookiecutter](https://cookiecutter.readthedocs.io/) templating framework, it provides a Python package (`ccds` CLI) that scaffolds projects with standardized directories for data pipelines, notebooks, models, and documentation, along with `pyproject.toml` and Makefile conventions for reproducibility. The template separates raw/processed data, intermediate artifacts, and source code into a modular Python package structure with dedicated modules for dataset handling, feature engineering, and model training/inference.
About biscuit-cutter
harrisonpim/biscuit-cutter
:cookie: A cookiecutter structure for reproducible data science projects, orchestrated with docker
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