DesktopDeployR VS rhino

Compare DesktopDeployR vs rhino and see what are their differences.

DesktopDeployR

A framework for deploying self-contained R-based applications to the desktop (by wleepang)

rhino

Build high quality, enterprise-grade Shiny apps at speed (by Appsilon)
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DesktopDeployR rhino
4 2
380 260
- 3.5%
0.0 9.3
almost 2 years ago 6 days ago
R R
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.

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.

rhino

Posts with mentions or reviews of rhino. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-04.

What are some alternatives?

When comparing DesktopDeployR and rhino you can also consider the following projects:

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

shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds

electron-quick-start - Clone to try a simple Electron app

ggplot2-book - ggplot2: elegant graphics for data analysis

tidymodules - An Object-Oriented approach to Shiny modules

box - Write reusable, composable and modular R code

RInno - How to install local shiny apps

timevis - 📅 Create interactive timeline visualizations in R

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.

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.