Dojo Toolkit
Node.js
Ruby on Rails
Laravel
Django
Meteor
ASP.NET
ExpressJS
Shiny
Node.js
Django
Ruby on Rails
Laravel
ASP.NET
Meteor
ExpressJS
Dojo Toolkit ShinyBased on our record, Shiny seems to be a lot more popular than Dojo Toolkit. While we know about 32 links to Shiny, we've tracked only 3 mentions of Dojo Toolkit. 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.
I also remember Dojo, Dijit and DojoX. It was a powerful web framework. https://dojotoolkit.org. - Source: Hacker News / about 2 months ago
React is open sourced and maintained by a large organization. It's unlikely to go away due to lack of support (looking at you Dojo). By using react you are not re-inventing the wheel and it is a skillset that will be used for gainful employment with actual companies. Source: over 2 years ago
If the project was big enough, there were tools like jsmin. If the project warranted it, I would use Dojo Toolkit, which could probably make me a sandwich if I wanted it to. - Source: dev.to / over 2 years 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 / 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
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Django - The Web framework for perfectionists with deadlines
Laravel - A PHP Framework For Web Artisans
Meteor - Meteor is a set of new technologies for building top-quality web apps in a fraction of the time.
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
