shinify VS shiny.fluent

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

shinify

Creates a shiny server to interact with your machine learning model - no further coding needed. (by stackOcean-official)
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shinify shiny.fluent
4 1
10 267
- 1.9%
10.0 5.0
over 1 year ago 13 days ago
R R
MIT License GNU Lesser 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.

shinify

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

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.

What are some alternatives?

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

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

electricShine - Create Standalone Installable Shiny Apps

heroku-buildpack-r - Heroku buildpack for R - Makes deploying R on Heroku easy

whiteboxR - WhiteboxTools R Frontend

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

shiny.react - Use React in Shiny applications.

timevis - 📅 Create interactive timeline visualizations in R

scribblr - A Notepad Inside RStudio

dndR - Dungeons & Dragons Functions for Players and Dungeon Masters

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