groundhog VS bruceR

Compare groundhog vs bruceR and see what are their differences.

groundhog

Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages (by CredibilityLab)

bruceR

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses. (by psychbruce)
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groundhog bruceR
2 1
76 153
- -
8.4 4.9
about 1 month ago 7 months ago
R R
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

groundhog

Posts with mentions or reviews of groundhog. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

bruceR

Posts with mentions or reviews of bruceR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing groundhog and bruceR you can also consider the following projects:

renv - renv: Project environments for R.

expotools - Useful methods for Exposome research.

rmarkdown - Dynamic Documents for R

targets-minimal - A minimal example data analysis project with the targets R package

huxtable - An R package to create styled tables in multiple output formats, with a friendly, modern interface.

collapse - Advanced and Fast Data Transformation in R

targets-tutorial - Short course on the targets R package

priceR - Economics and Pricing in R

devcontainers-rstudio - Zero-setup R workshops with GitHub Codespaces

worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob

lmForc - R package for evaluating linear forecasting models.

melt - Multiple empirical likelihood tests