shinyapps-package-dependencies VS RInno

Compare shinyapps-package-dependencies vs RInno and see what are their differences.

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shinyapps-package-dependencies RInno
8 7
76 301
- 1.0%
5.9 0.0
about 1 month ago 6 months ago
R HTML
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

shinyapps-package-dependencies

Posts with mentions or reviews of shinyapps-package-dependencies. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-21.

RInno

Posts with mentions or reviews of RInno. 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 shinyapps-package-dependencies and RInno you can also consider the following projects:

superset - Apache Superset is a Data Visualization and Data Exploration Platform

electricShine - Create Standalone Installable Shiny Apps

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

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

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

tauri - Build smaller, faster, and more secure desktop applications with a web frontend.

DesktopDeployR - A framework for deploying self-contained R-based applications to the desktop

publicdata - 🗃️ Centralized location for public data

shinyproxy-hello

data.validator - validate your data and create nice reports straight from R

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