rocker
R configurations for Docker (by rocker-org)
sysreqsdb
SystemRequirements mappings for R packages (by r-hub)
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rocker | sysreqsdb | |
---|---|---|
14 | 1 | |
1,434 | 135 | |
0.8% | - | |
3.7 | 5.5 | |
about 2 months ago | 4 days ago | |
Shell | Shell | |
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.
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.
rocker
Posts with mentions or reviews of rocker.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-15.
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What's the best way to manage packages for different versions of R?
I am, strictly speaking, not a big R user, so take my opinion with a grain of salt, but if I were using R extensively, I would absolutely use the Rocker project containers to manage different R versions and different sets of dependencies for different projects: https://rocker-project.org/
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What is the 'Fedora experience' like for scientific computing?
Perhaps the main difference is r package are not available as binaries from rstudio (posit) repo but their is a cran2copr repo that works really well or you can still install from source in your home. For more info on cran2copr see: https://cran.rstudio.com/bin/linux/fedora/ . Personally I am slowly moving to container based workflow with podman (and not toolbox as you end up having your r package install directly in home but that can be worked out by specifying the ribs path). I use docker image from the rocker project: https://rocker-project.org/
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[S] Step-by-step on how update to a specific version of R.
If you have such specific requirements it’s often easier to use a container like the one from rocker (runs in der docker) instead. Btw wouldn’t be surprised if you’d get the latest version running in there as well.
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Temporarily Disable R Studio
Check out the Rocker Project, comprising of Docker containers for R, and can be used with RStudio. Also, virtual environments e.g., renv package can also help solve the package versioning issue, aside from containerization, and is transferable to a new machine via the renv::restore() function.
- rocker: R configurations for Docker
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Tips for using docker
https://hub.docker.com/u/rocker has a lot of R-related images and they look pretty legit (look at "Tags" to find different versions). Don't use weird looking images. There's a lot of malware out there. Here's a guide on nice docker files: https://docs.docker.com/develop/develop-images/dockerfile\_best-practices/
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Does anyone feel like R is actually vastly worse for dependency/environment management than Python?
Other people have mentioned renv and packrat already (hasn't renv basically superseded packrat at this point?), but what is also nearly ready-made to deal with this is rocker's R images. They have a bunch of images preconfigured for typical TidyVerse stuff, Shiny, etc.
- My experience of trying to get the latest software on Linux is as confusing (annoying?) as Windows!
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Trying To Run R Studio from Docker (rocker/rstudio) "Cannot Connect to R Session"
The Apple M1 is ARM. As far as my knowledge, ARM isn't supported. Looks like the rocker project is aware of it. Considering how popular these chips are, i'm confident a lot of smart people are working on it. :)
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Which video course or book would you recommend for R on AWS?
But, with docker, there are many prebuilt images provided by the RStudio team directly, and other great repositories from rocker. These are basically images for your full SDLC with R, from development to deployments.
sysreqsdb
Posts with mentions or reviews of sysreqsdb.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-31.
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Best Practices for R with Docker
There are at least two databases listing package requirements: one maintained by RStudio (this supports RSPM), another one by R-hub. Both of these list system packages for various Linux distributions, macOS, and Windows. But even with these databases, the build- vs. run-time dependencies can be sometimes hard to distinguish. Build-time system libraries are always named with a -dev or -devel postfix. Read the vignette of the maketools R package by Jeroen Ooms for a nice explanation and a suggested workflow for determining run-time dependencies of packages.
What are some alternatives?
When comparing rocker and sysreqsdb you can also consider the following projects:
r-docker - Docker images for R
r-minimal - Minimal Docker images for R
covidapp-shiny - A simple Shiny app to display and forecast COVID-19 daily cases
box - Write reusable, composable and modular R code
CachyOS-Browser-Common
hadolint - Dockerfile linter, validate inline bash, written in Haskell
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
paws - Paws, a package for Amazon Web Services in R