Node.js VS Shiny
Compare Node.js VS Shiny and see what are their differences
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Node.js ShinyBased on our record, Node.js seems to be a lot more popular than Shiny. While we know about 787 links to Node.js, we've tracked only 32 mentions of Shiny. 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.
Make sure that NodeJS is installed on your machine. If necessary, you can find all the instructions for installing NodeJS here. - Source: dev.to / 3 days ago
Node.js is an open-source JavaScript runtime environment for building backend services and command line applications. This tutorial will guide you in creating an instant Node-based chat app that runs on a JavaScript server and outside a web browser. - Source: dev.to / 4 days ago
Have Node and Yarn installed with a recent version. - Source: dev.to / 8 days ago
Ensure that you have Node.js installed on your computer by visiting the official Node.js website [https://nodejs.org/en] and downloading the appropriate version for your operating system. - Source: dev.to / 11 days ago
Node.js and npm: Install Node.js and npm to manage packages and dependencies for your project. - Source: dev.to / 14 days ago
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
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
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
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
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
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Django - The Web framework for perfectionists with deadlines
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Laravel - A PHP Framework For Web Artisans
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.