Shiny VS No CS OK

Compare Shiny VS No CS OK 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.

No CS OK

Jobs for developers without degrees

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2023-06-30

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2023-08-19

SHINY - PS4 REVIEW

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Category Popularity

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Shiny

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Web Frameworks

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Job Boards

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Job Boards

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Developer Tools

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Hiring And Recruitment

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User comments

Share your experience with using Shiny and No CS OK. 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 No CS OK. While we know about 32 links to Shiny, we've tracked only 1 mention of No CS OK. 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 / 4 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 / 11 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: about 1 year 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: over 1 year ago

No CS OK mentions (1)

1000 hours into my learning journey...ready to quit..not sure if this is the right thing for me to be doing, anyone else relate?
You’re caught in “tutorial hell” right now. The only way to get out is to build things and apply your knowledge. Easier said than done, obviously, but try out websites like Frontend Mentor to build your design and JS skills or apply to jobs on NoCSOK which is a site that’s emphasizes junior dev jobs that don’t require CS degrees. Source: over 2 years ago