We recommend LibHunt Ruby for discovery and comparisons of trending Ruby projects. Also, to find more open-source ruby alternatives, you can check out libhunt.com/r/rails
Based on our record, Ruby on Rails should be more popular than Shiny. It has been mentiond 122 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.
And if you’re not familiar with tools like Laravel and Ruby-on-Rails, they are opinionated full-stack frameworks (for PHP and Ruby) with lots of built-in features that follow established conventions so that developers can write less boilerplate and more business logic, while getting the industry best practices baked into their app. - Source: dev.to / 7 days ago
Ruby on Rails, in my opinion, is the most productive full-stack web framework to-date. - Source: dev.to / 12 days ago
Let’s look at two technical solutions — RSCSS/ITCSS. This is indeed a perfect combination of instruments which we use in our projects built on React and Ruby on Rails. - Source: dev.to / 21 days ago
A 7.1 Ruby on Rails application hosted on a Hetzner VPS and deployed via Kamal. - Source: dev.to / 29 days ago
Industry adoption - Without including the adoption of other popular and more established frameworks like Python, React, C#, and others, if we consider the adoption of Ruby frameworks, Rails easily eclipses Hanami. The Rails homepage lists some big-name organizations using the framework. On the other hand, as the new kid on the block, Hanami is not so widely adopted. We'll have to wait and see whether that will... - Source: dev.to / 28 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 / 3 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 / 10 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: about 1 year 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: over 1 year ago
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