Swoole VS Shiny

Compare Swoole VS Shiny and see what are their differences

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Contents:

» Base Details
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Swoole

Swoole is an asynchronous, concurrent and distributed networking framework for PHP

Shiny

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

Landing page //
2023-07-12

Landing page //
2023-06-30

Laravel Octane with Swoole — Beyond the Basics

Shiny videos

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SHINY - PS4 REVIEW

Category Popularity

0-100% (relative to Swoole and Shiny)

Shiny

Python Web Framework

8 8%

Python Web Framework

92% 92

Web Frameworks

7 7%

Web Frameworks

93% 93

Developer Tools

7 7%

Developer Tools

93% 93

PHP MVC Framework

100 100%

PHP MVC Framework

0% 0

User comments

Share your experience with using Swoole 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 a lot more popular than Swoole. While we know about 32 links to Shiny, we've tracked only 1 mention of Swoole. 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.

Swoole mentions (1)

Swoole forked to Open Swoole, due to disagreement about hot-loading files
Open Swoole appears to have a very confusing domain name swoole.co.uk when there is swoole.com. Source: over 2 years ago

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