DesktopDeployR
A framework for deploying self-contained R-based applications to the desktop (by wleepang)
rocker-versioned
Run current & prior versions of R using docker (by rocker-org)
| DesktopDeployR | rocker-versioned | |
|---|---|---|
| 4 | 4 | |
| 380 | 293 | |
| - | - | |
| 0.0 | 2.2 | |
| almost 2 years ago | about 2 years ago | |
| R | Dockerfile | |
| Apache License 2.0 | 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.
DesktopDeployR
Posts with mentions or reviews of DesktopDeployR.
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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Alternatives to RInno?
DesktopDeployR
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Rshiny Windows application issue
I just created a Rshiny desktop application using this awesome https://github.com/wleepang/DesktopDeployR repo. The application works on my system pretty well but I get an error saying "PATH NOT FOUND" to the .wsf file which starts up the application on my other system. P sure that the path is right.
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Deploying a Shiny app as self-contained application?
I got a Shiny dashboard running from USB sticks with https://github.com/wleepang/DesktopDeployR
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Run python from Excel, without having to have python installed
Shiny apps don't have to be hosted on a website, for what it's worth. There are ways to make them, essentially, desktop apps. Definitely quite a bit of work, but still doable.
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.
-
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 DesktopDeployR and rocker-versioned you can also consider the following projects:
Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows
electron-quick-start - Clone to try a simple Electron app
shinyapps-package-dependencies - Collection of bash scripts that install R package system dependencies
tidymodules - An Object-Oriented approach to Shiny modules
RInno - How to install local shiny apps
ShinyWebAppWithFormAndLeafletMap - This repo contains the code to build a webapp for data collection and viewing the map on a leaflet map using R Shiny. The specific webapp that I built is aimed to collect data of sustainability practices of various eateries around the world, in the times of climate change.
shinify - Creates a shiny server to interact with your machine learning model - no further coding needed.
rhino - Build high quality, enterprise-grade Shiny apps at speed
DesktopDeployR vs Shiny_Desktop_App
rocker-versioned vs Shiny_Desktop_App
DesktopDeployR vs electron-quick-start
rocker-versioned vs shinyapps-package-dependencies
DesktopDeployR vs tidymodules
DesktopDeployR vs RInno
DesktopDeployR vs ShinyWebAppWithFormAndLeafletMap
DesktopDeployR vs shinyapps-package-dependencies
DesktopDeployR vs shinify
DesktopDeployR vs rhino