RInno
rocker-versioned
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| RInno | rocker-versioned | |
|---|---|---|
| 7 | 4 | |
| 300 | 293 | |
| 0.7% | - | |
| 0.0 | 2.2 | |
| 6 months ago | about 2 years ago | |
| HTML | Dockerfile | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
RInno
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Deploying a Shiny app as self-contained application?
I've tried RInno, electricShine, and the electron-starter-app project by COVAIL.
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The First Rule of Microsoft Excel: Don’t Tell Anyone You’re Good at It
What we need is easier ways to create simple, cross-platform, stand-alone applications. RInno (https://ficonsulting.github.io/RInno/) seems like a nice options (local R shiny app + electron) but I guess the files will be huge and platform-dependent
TiddlyWiki (https://tiddlywiki.com/) is another good example; I can make something great, just send it by mail and know the recipient can open and use it.
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Shinny app with portable R
You could try https://ficonsulting.github.io/RInno/
rocker-versioned
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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.
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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?
electricShine - Create Standalone Installable Shiny Apps
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
publicdata - 🗃️ Centralized location for public data
data.validator - validate your data and create nice reports straight from R
my-little-crony - A visualization of the connections between Tory politicians and companies being awarded government contracts during the pandemic.
Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows
DesktopDeployR - A framework for deploying self-contained R-based applications to the desktop
electron-quick-start - Clone to try a simple Electron app
gtoolkit - Glamorous Toolkit is the Moldable Development environment. It empowers you to make systems explainable through experiences tailored for each problem.
VBAChromeDevProtocol - VBA (Excel) based wrapper for Chrome Developer Protocol (CDP) - sorta a VBA version of Puppeteer/Selenium