Shiny
Node.js
Django
Ruby on Rails
Laravel
ASP.NET
Meteor
ExpressJS
React
Vue.js
Next.js
Svelte
AngularJS
Angular.io
Tailwind CSS
Node.js
Shiny ReactBased on our record, React seems to be a lot more popular than Shiny. While we know about 775 links to React, 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.
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
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
For this project, there is a frontend built with React hosted on Netlify, connected to the backend. - Source: dev.to / 19 days ago
React: A JavaScript library for building user interfaces. - Source: dev.to / 29 days ago
In this article we have seen a practical guide to using HTTP streaming for efficient data visualization in Next.js web applications. We have explored how create and customize an instance of ReadableStream, creating a Response object specialization that accepts it as a result body. To test we have used a NextJS Route Handler. Additionally, to consume data chunk over http, we have developed a... - Source: dev.to / about 2 months ago
React is a JavaScript library for building user interfaces. React gives you a template language and some function hooks to render HTML. Your bundles of HTML/JavaScript are called "components". - Source: dev.to / 2 months ago
When dealing with frontend libraries or frameworks such as React, using the Fullscreen API directly may be difficult because of the way the framework handles the DOM. In scenarios like this, you can opt for an external library, such as react-full-screen, to handle full-screen logic. This enables you to elegantly implement full-screen functionality on a React component. - Source: dev.to / 3 months ago
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Vue.js - Reactive Components for Modern Web Interfaces
Django - The Web framework for perfectionists with deadlines
Next.js - A small framework for server-rendered universal JavaScript apps
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Svelte - Cybernetically enhanced web apps
