shiny.fluent VS scribblr

Compare shiny.fluent vs scribblr and see what are their differences.

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shiny.fluent scribblr
1 1
267 17
3.0% -
5.0 6.0
8 days ago 3 months ago
R R
GNU Lesser General Public License v3.0 only GNU General Public License v3.0 only
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.

shiny.fluent

Posts with mentions or reviews of shiny.fluent. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-10.

scribblr

Posts with mentions or reviews of scribblr. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing shiny.fluent and scribblr you can also consider the following projects:

electricShine - Create Standalone Installable Shiny Apps

rdocsyntax - Syntax highlighting for R HTML documentation

whiteboxR - WhiteboxTools R Frontend

todor - TODOr - RStudio add-in for finding TODO, FIXME, CHANGED etc. comments in your code.

shiny.react - Use React in Shiny applications.

statGPT - Simple plugin to instantly transform broken English into working code and analysis in RStudio using Open AI's API

oanda - Implementation of OANDA's REST API in R. This project is an attepmt to bring research, backtest, trading, and monitoring using R wrapper around OANDA broker's HTTP API. Follow @oanda for their python bindings. [Moved to: https://github.com/ltekengineering/oanda]

hex-stickers - RStudio hex stickers

gptstudio - GPT RStudio addins that enable GPT assisted coding, writing & analysis

shinify - Creates a shiny server to interact with your machine learning model - no further coding needed.

blogdown - Create Blogs and Websites with R Markdown