Software Alternatives & Reviews

OnTheClock.com VS Shiny

Compare OnTheClock.com VS Shiny and see what are their differences

OnTheClock.com logo OnTheClock.com

OnTheClock is a reputable web-based online clock software that is simple and powerful and dispensing scheduling services.

Shiny logo Shiny

Shiny is an R package that makes it easy to build interactive web apps straight from R.
  • OnTheClock.com Landing page
    Landing page //
    2022-12-22
  • Shiny Landing page
    Landing page //
    2023-06-30

OnTheClock.com videos

No OnTheClock.com videos yet. You could help us improve this page by suggesting one.

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Shiny videos

SHINY - PS4 REVIEW

More videos:

  • Review - My Opinion on EVERY Shiny Pokémon [Generation 1 to 7]
  • Review - Review: Shiny (PlayStation 4) - Defunct Games
  • Tutorial - R Shiny Overview & Tutorial

Category Popularity

0-100% (relative to OnTheClock.com and Shiny)
Auto & Vehicle
100 100%
0% 0
Web Frameworks
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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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.

OnTheClock.com mentions (0)

We have not tracked any mentions of OnTheClock.com yet. Tracking of OnTheClock.com 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 / 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
View more

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