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.
9,723 stars and 3,161 monthly downloads. Available on PyPI.
Stars
9,723
Forks
2,628
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2026
Monthly downloads
3,161
Commits (30d)
0
Dependencies
3
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/drivendataorg/cookiecutter-data-science"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
docker-science/cookiecutter-docker-science
Cookiecutter template for data scientists working with Docker containers
csinva/cookiecutter-ml-research
A logical, reasonably standardized, but flexible project structure for conducting ml research 🍪
mihail911/e2eml-cookiecutter
A generic template for building end-to-end machine learning projects
zenml-io/template-starter
A template for a starter project for ZenML
harrisonpim/biscuit-cutter
:cookie: A cookiecutter structure for reproducible data science projects, orchestrated with docker