electron-quick-start VS DesktopDeployR

Compare electron-quick-start vs DesktopDeployR and see what are their differences.

DesktopDeployR

A framework for deploying self-contained R-based applications to the desktop (by wleepang)
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electron-quick-start DesktopDeployR
2 4
136 380
2.2% -
10.0 0.0
almost 4 years ago almost 2 years ago
C++ R
Creative Commons Zero v1.0 Universal Apache License 2.0
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.

electron-quick-start

Posts with mentions or reviews of electron-quick-start. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.

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.

What are some alternatives?

When comparing electron-quick-start and DesktopDeployR you can also consider the following projects:

electricShine - Create Standalone Installable Shiny Apps

Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows

tidymodules - An Object-Oriented approach to Shiny modules

shinyapps-package-dependencies - Collection of bash scripts that install R package system dependencies

RInno - How to install local shiny apps

rocker-versioned - Run current & prior versions of R using docker

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