Shiny VS Yii Framework

Compare Shiny VS Yii Framework and see what are their differences

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Shiny

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

Yii Framework

Yii is a high-performance component-based PHP framework best for Web 2.0 development.

Landing page //
2023-06-30

Landing page //
2021-10-17

SHINY - PS4 REVIEW

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Category Popularity

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

Yii Framework

Web Frameworks

32 32%

Web Frameworks

68% 68

Developer Tools

40 40%

Developer Tools

60% 60

Python Web Framework

47 47%

Python Web Framework

53% 53

Data Visualization

100 100%

Data Visualization

0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Shiny and Yii Framework

Shiny Reviews

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Yii Framework Reviews

The Most Popular PHP Frameworks to Use in 2021

Familiarity with the command line is also key to using the Composer PHP package manager. The Yii Framework is one of several which uses Composer to install and manage dependencies, packages which are required for an application to run.

Source: kinsta.com

Top 9 PHP Frameworks For Web Development In 2021

The Yii framework has a whopping 11Mn+ downloads from Packagist and 13.6k+ stars on GitHub. Yii, branded as ‘YES, it is!’, is a fast, secure, flexible PHP framework for web development, especially for building MVC architecture websites. It ranks 4 on the PHP Benchmarks list. Yii is a strictly Object-Oriented PHP framework and requires knowledge of inheritance, polymorphism,...

Source: www.lambdatest.com

The 10 Best PHP Frameworks To Use in 2021

Yii is a good choice for newcomers to PHP. The documentation for Yii is refreshingly comprehensive and not only will you learn about how to make an app, but you can learn more about working with database or MVC patterns, for instance.

Source: trio.dev

Top 4 PHP Frameworks to use in 2019

Yii2 is famous for advanced security and fast loading time. This framework applies a non-repetitive code principle. Such a principle allows for avoiding the repeated use of similar software patterns. Using Ajax and JQuery features, Yii2 simplifies the development of large-scale applications. Other Yii advantages are:

Source: theappsolutions.com

10 PHP MVC Frameworks in 2019 for Modern Web Developers

Another exceptional framework has graced the PHP framework list in the form of Yii. Pronounced as “yee,” this term means simple and evolutionary in Chinese. True to its Chinese semantic meaning, Yii is created to be simple, fast, and reliable. It is based in the DRY (Don’t repeat yourself) concept to help agile development for web developers.

Source: fullscale.io

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.

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