evaluate VS shinyjs

Compare evaluate vs shinyjs and see what are their differences.

evaluate

A version of eval for R that returns more information about what happened (by r-lib)

shinyjs

💡 Easily improve the user experience of your Shiny apps in seconds (by daattali)
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evaluate shinyjs
2 3
107 722
0.9% -
5.7 4.9
6 months ago 6 months ago
R R
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.

evaluate

Posts with mentions or reviews of evaluate. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-13.
  • How can I get regexpr to recognize emojis?
    2 projects | /r/Rlanguage | 13 Nov 2022
    Unfortunately I think this may be at the root of it. I added these links (here & here) to another comment that touch on an old issue with emojis/utf8/windows10. There is also an emojifont package, which may or may not be helpful. Good luck!

shinyjs

Posts with mentions or reviews of shinyjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-16.

What are some alternatives?

When comparing evaluate and shinyjs you can also consider the following projects:

sf - Simple Features for R

RInno - How to install local shiny apps

readr - Read flat files (csv, tsv, fwf) into R

shinyalert - 🗯️ Easily create pretty popup messages (modals) in Shiny

targets - Function-oriented Make-like declarative workflows for R

easystats - :milky_way: The R easystats-project

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing

electricShine - Create Standalone Installable Shiny Apps

rmarkdown - Dynamic Documents for R

shiny.semantic - Shiny support for powerful Fomantic UI library.

shinyloadtest - Tools for load testing Shiny applications

rhino - Build high quality, enterprise-grade Shiny apps at speed