DesktopDeployR
ShinyWebAppWithFormAndLeafletMap
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DesktopDeployR | ShinyWebAppWithFormAndLeafletMap | |
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4 | 1 | |
380 | 14 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | almost 2 years ago | |
R | R | |
Apache License 2.0 | MIT License |
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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
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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.
ShinyWebAppWithFormAndLeafletMap
What are some alternatives?
Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows
absmapsdata - Use ABS ASGS data easily in R
electron-quick-start - Clone to try a simple Electron app
googlesheets4 - Google Spreadsheets R API (reboot of the googlesheets package)
tidymodules - An Object-Oriented approach to Shiny modules
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!
RInno - How to install local shiny apps
rocker-versioned - Run current & prior versions of R using docker
shinyapps-package-dependencies - Collection of bash scripts that install R package system dependencies
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