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Based on our record, Shiny should be more popular than Kemal. 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.
Https://luckyframework.org/ . Kemal is even faster but it's mostly for APIs. In my opinion it's on par with Actix with much, much better developer experience. Source: about 1 year ago
It's been around for a while under development. It had it's 1.0.0 release in March 2021. There's been two (online) Crystal conferences, and there's two Crystal books published. There's a decent ecosystem of "shards" and there are a couple of Crystal web frameworks and ORMS that are similar to Sinatra or Rails-like. If you already know Ruby, learning Crystal is super easy. Source: over 1 year ago
They’re all good to try IMO, another is https://kemalcr.com which is akin to Sinatra if you just want to get an HTTP server with routes setup quickly. - Source: Hacker News / over 1 year ago
Kemal (like Sinatra, I really like this one): https://kemalcr.com/. Source: over 2 years ago
As an example, consider this small Kemal application:. - 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 / 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
Trails - Trails is a web application framework for Node.js.
Django - The Web framework for perfectionists with deadlines
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...