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 117 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.
Here's a real life example: Imagine a Ruby on Rails app on which a team of developers are working. The code is hosted on GitLab and all the work is coordinated using GitLab issues. In other words: For every commit, there's an associated issue and the issue number acts as a sort of primary key for documentation, time reporting and so forth. This convention has a few advantages, most notably the ability to easily... - Source: dev.to / 24 days ago
Ruby on Rails is regarded as one of the best ruby frameworks. It was the primary language in developing big projects such as Twitter and helped the language boost the community. Often referred to as “Rails,” Ruby on Rails is a web development framework with an MVC control structure and currently running its 6.1 version. The 16-year-old language has dramatically influenced the web development structures and... - Source: dev.to / about 1 month ago
DEV is a Rails monolith, which uses Preact in the front-end using islands architecture. The reason why I mention all this is that it's not a full-stack JavaScript application, and there is no state management library like Redux or Zustand in use. The data store, for the most part on the front end, is all data attributes. - Source: dev.to / 5 months ago
The Ruby on Rails framework is the most known and powerful ruby gem for a long time, and its core philosophy evolves around providing the smallest bit of elegant code to achieve a lot of features on your application. To provide that level of abstraction and elegant syntax, rails rely a lot on metaprogramming, so we can write less and achieve more on our codebase. - Source: dev.to / 6 months ago
Imagine a scenario where a user clicks on a link or button on the Rails website. This simple action initiates a web request from the user's browser, which then travels through the vast universe of inter-webs galaxies to land on the planet web server that hosts "Rails". The server then does its best and processes the request that was just received and sends back a response with the needed information and lands it... - Source: dev.to / 6 months 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
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