assertthat
User friendly assertions for R (by hadley)
rocker-versioned
Run current & prior versions of R using docker (by rocker-org)
| assertthat | rocker-versioned | |
|---|---|---|
| 3 | 4 | |
| 203 | 293 | |
| - | - | |
| 0.0 | 2.2 | |
| about 1 year ago | over 2 years ago | |
| R | Dockerfile | |
| - | 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.
assertthat
Posts with mentions or reviews of assertthat.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-05.
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What is the R equivalent of this Python exception code?
"GitHub - hadley/assertthat: User friendly assertions for R" https://github.com/hadley/assertthat
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Do you do unit testing when you create scripts for (repeated) data analysis / generating reports?
Always! Either just some plain vanilla stopifnot(), or assertthat https://github.com/hadley/assertthat
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Video introduction to the join functions of the dplyr package in R programming
Assertion libraries: https://github.com/hadley/assertthat
rocker-versioned
Posts with mentions or reviews of rocker-versioned.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-01.
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Deploying a Shiny app as self-contained application?
Docker would potentially be an option. Look at https://github.com/rocker-org/rocker-versioned. There is also https://www.shinyapps.io/ if you would rather not host the app locally.
- RStudio in Docker Now!!!
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Video introduction to the join functions of the dplyr package in R programming
Or multi-staged builds using custom Docker images for Shiny Dashboards: https://hub.docker.com/_/r-base https://hub.docker.com/r/rocker/r-ver
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Dockerfile SHELL bite me
I built our team's own version RStudio docker image to support any additional R / Python packages we need for internal usage that based on nice community work rocker/rstudio, it has some limitation, for example, not support GPU, of course, to solve that, I borrowed the idea from Nvidia's Dockerfile, which in general added all basic CUDA libraries for you until I hit the issue to support Tenforflow GPU usage.
What are some alternatives?
When comparing assertthat and rocker-versioned you can also consider the following projects:
DesktopDeployR - A framework for deploying self-contained R-based applications to the desktop
Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows
shinyapps-package-dependencies - Collection of bash scripts that install R package system dependencies