Koa.js
ExpressJS
Ruby on Rails
Django
Laravel
Flask
Meteor
ASP.NET
Shiny
Node.js
Django
Ruby on Rails
Laravel
ASP.NET
Meteor
ExpressJS
ShinyKoa.js might be a bit more popular than Shiny. We know about 36 links to it since March 2021 and only 32 links to 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.
In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints. - Source: dev.to / 5 months ago
The initial step is to create our entry point, from where the page will be rendered. In this case, we will use the koa framework. - Source: dev.to / 8 months ago
Koa.js: By the team behind Express, Koa.js utilized async/await for middleware, resulting in cleaner and more readable code. - Source: dev.to / 8 months ago
Backend is more tricky. - RESTful APIs I prefer Koajs - For a RPC/microsevice, I have only used gRPC - For a CLI, yargs and inquirer. Source: about 1 year ago
There are lot of different frameworks out there. If you learn one, there is no guarantee that the next job you find will use the same. For example if you learn Express and the next one used Koa or Nest. - Source: dev.to / over 1 year 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
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
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
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
