How can I have an organized workflow in R?

• dvc

  108 13,093 9.7 Python

  🦉 ML Experiments and Data Management with Git

  

If you have datasets that are constantly updated, you might find DVC (https://github.com/iterative/dvc) helpful.

• ploomber

  121 3,369 7.8 Python

  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

  

Ploomber allows you to do that. Say you have a load.R -> clean.R -> plot.R pipeline. If you modify clean.R and then call ploomber build , Ploomber will figure out what scripts to run based on the changes (in this case, it'll run clean.R and plot.R) so you don't have to manually keep track of these things. It also supports RMarkdown so your pipeline can have some .R files and some .Rmd files. It also supports Python and SQL. We recently added integration with RStudio.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

Suggest a related project