# Cookiecutter data science templates for DVC

**URL:** <https://discuss.dvc.org/t/cookiecutter-data-science-templates-for-dvc/2312>\
**Category:** Questions\
**Created:** [November 21, 2024, 3:59pm UTC](https://discuss.dvc.org/t/cookiecutter-data-science-templates-for-dvc/2312 "2024-11-21T15:59:39Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![JohnAtl](https://yyz1.discourse-cdn.com/flex035/user_avatar/discuss.dvc.org/johnatl/32/365_2.png) [@JohnAtl](https://discuss.dvc.org/u/JohnAtl)\
**Post date:** [November 21, 2024, 3:59pm UTC](https://discuss.dvc.org/t/cookiecutter-data-science-templates-for-dvc/2312/1 "2024-11-21T15:59:39Z")

</div>

Working my way through the DVC tutorials. They are excellent (but some areas are outdated).

Due to its mention in the videos and docs, I’ve been looking into [Cookiecutter Data Science](https://cookiecutter-data-science.drivendata.org/) for setting up directory and file structure for new projects. I especially like the consistency that this could bring to projects.  
The ccds standard template uses `make` and a `Makefile` to run pipelines, but naturally, I’d rather use dvc, version control may data, etc.  
Rather than reinvent the wheel, are there any templates available that provide a more dvc-like folder structure and pipeline?  
Bonus would be support for `uv` environment management.

Thanks!