rspm
RStudio Package Manager (by cran4linux)
bspm
R Bridge to System Package Manager (by cran4linux)
rspm | bspm | |
---|---|---|
1 | 1 | |
38 | 79 | |
- | - | |
6.1 | 6.2 | |
6 days ago | 30 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
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.
rspm
Posts with mentions or reviews of rspm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-02.
-
R packages on Linux... It is a struggle
There is also this https://github.com/Enchufa2/rspm but it does not play nicely with conda .
bspm
Posts with mentions or reviews of bspm.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Errors installing psych package on xubuntu / rstudio
Maybe this could help: https://github.com/enchufa2/bspm
What are some alternatives?
When comparing rspm and bspm you can also consider the following projects:
box - Write reusable, composable and modular R code
r2u - CRAN as Ubuntu Binaries
deps - Dependency Management with roxygen-style Comments
unified-actions-runner - Unified Devcontainer and Github Actions Runner Pre-builds
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
ggplot2 - An implementation of the Grammar of Graphics in R