mkrapp / cookiecutter-reproducible-science Goto Github PK

• submit a pull request adding it to README.rst

• add a cookiecutter & cookiecutter-template labels to the github project

  see: https://github.com/cookiecutter/cookiecutter#a-pantry-full-of-cookiecutters

see also: drivendataorg/cookiecutter-data-science#239

The README.md right now starts with (bold emphasis mine):

A boilerplate for reproducible and transparent science with close resemblances to the philosophy of Cookiecutter Data Science: ...

I would find it very helpful if you could list out what the key differences are between this cookiecutter and the cookiecutter-data-science repo. (https://drivendata.github.io/cookiecutter-data-science/)

I've been thinking of making my own cookiecutter that fits more with my workflow than cookiecutter-data-science but you may have already made the changes that make the original repo a little clunky to me. It's not easy to tell from your documentation though..

Thanks!