DEEP Framework VS Shiny

Compare DEEP Framework VS Shiny and see what are their differences

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DEEP Framework

DEEP Framework is a Full-Stack JavaScript Framework for building cloud-native web applications.

Shiny

Shiny is an R package that makes it easy to build interactive web apps straight from R.

Landing page //
2023-10-13

Landing page //
2023-06-30

DEEP Framework

Categories	Web Frameworks Developer Tools Python Web Framework PHP MVC Framework
Website	github.com
Details $	-

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Shiny

Categories	Web Frameworks Developer Tools Python Web Framework PHP MVC Framework
Website	shiny.posit.co
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DEEP Framework videos

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Shiny videos

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SHINY - PS4 REVIEW

Category Popularity

0-100% (relative to DEEP Framework and Shiny)

DEEP Framework

Shiny

Web Frameworks

7 7%

Web Frameworks

93% 93

PHP MVC Framework

100 100%

PHP MVC Framework

0% 0

Developer Tools

5 5%

Developer Tools

95% 95

Python Web Framework

6 6%

Python Web Framework

94% 94

User comments

Share your experience with using DEEP Framework and Shiny. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Shiny seems to be more popular. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DEEP Framework mentions (0)

We have not tracked any mentions of DEEP Framework yet. Tracking of DEEP Framework recommendations started around Mar 2021.

Shiny mentions (32)

R: Introduction to Data Science
A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / about 2 months ago
Reflex – Web apps in pure Python
Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 9 months ago
PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
A project to show off my basic R skills
We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: about 1 year ago
Greatest projects that you have done?
One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: about 1 year ago