Interactive Web Applications
Shiny allows for the creation of interactive web applications directly from R, facilitating dynamic data visualization and user engagement without requiring extensive web development knowledge.
Ease of Use
Shiny provides a high-level interface that allows users to create complex applications with minimal code, leveraging R's capabilities and intuitive declarative syntax.
Integration with R
As a product of Posit (formerly RStudio), Shiny seamlessly integrates with the R ecosystem, enabling users to incorporate statistical analysis and machine learning models into their web applications.
Customizable UI
Shiny offers a range of UI components and the ability to integrate custom HTML, CSS, and JavaScript, allowing for highly customized and polished web applications.
Reactive Programming
Shinyโs reactive programming model simplifies the process of building interactive applications by automatically updating output whenever input changes, reducing the need for manual event handling.
Community Support
Shiny has a large and active community, offering plentiful resources such as tutorials, examples, and forums for troubleshooting and learning.
Shiny is generally considered a strong and effective tool for building interactive data visualizations and applications, particularly within the R environment. Its ease of use, flexibility, and ability to integrate with various data sources and other technologies make it a valuable tool for data scientists and statisticians.
We have collected here some useful links to help you find out if Shiny is good.
Check the traffic stats of Shiny on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Shiny on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Shiny's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Shiny on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Shiny on Reddit. This can help you find out how popualr the product is and what people think about it.
Shiny lets you easily build web apps for data science using R and Python without the need for any web development experience. You can deploy these applications on your own web server or use Posit Connect to deploy them directly from your IDE. - Source: dev.to / 3 months ago
There is a lot of way and the most common is shiny (https://shiny.posit.co/) but with a biais towards data app. Not having a Django-like or others web stack python may have talks more about the users of R than the language per se. Its background was to replace S which was a proprietary statistics language not to enter competition with Perl used in CGI and early web. R is very powerful and is Lisp in disguise... - Source: Hacker News / over 1 year ago
In R, you can build Single Page Applications with Shiny, created by Posit https://shiny.posit.co/ It is very useful, if you don't know HTML,JS,CSS and want to create an interactive dashboard, showcasing your analysis, models, visualizations, or even to create an internal tool for your organization. It seems that reactR provides functions for building react components directly from R that can be used in Shiny apps. - Source: Hacker News / almost 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 / over 2 years 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 / almost 3 years 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 3 years 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: over 3 years ago
One of the most difficult yet most fun projects Iโve done. Using Shiny to make an app, all coded in R! Source: over 3 years ago
R Shiny has worked well for me. Admittedly, the R language itself is a bit more obscure, but there is a Python version in Alpha. Source: over 3 years ago
Shiny might be what you're looking for. Source: over 3 years ago
When I'm not in the gym, I work as a scientist (not a smart one lol, just a diligent one). One thing I'm really passionate about though is the clear, honest and beautiful representation of data - so that findings have traction. Not to toot my own horn, but I'm bloody good at it already, and am looking for ways to improve further. One way might be by coding a web app (e.g., https://shiny.rstudio.com/). I'm about to... Source: over 3 years ago
I don't know where that idea comes from, but R (like Julia) is a "full-fledged" programming languages by any stretch of the definition. Even if we leave aside the things R is great (arguably, the best) at (i.e. Data wrangling, plotting, statistical modeling, and scientific/technical publishing), you can do anything you want with R. Be it building dashboards or back-ends, MLOps, or even creating games. Granted,... Source: over 3 years ago
Built with Process Analytics components, it is a shiny R application that generates a process from event logs (in XES format), using 2 representations that can be used for comparison, with execution data (frequency):. - Source: dev.to / almost 4 years ago
For example, you donโt appear to have even googled considering one of the top hits for โshinyโ is the shiny website, which is full of documentation, tutorials, and a gallery of examples. Source: about 4 years ago
I think normally it's the data scientists with graphs in Shiny. Source: about 4 years ago
From a more practical standpoint, it might be possible to do some kind of network thing where folks could pick a song and explore other songs that are highly related. Oooh or even a map where people could "tour" the USA and see songbooks from different areas. I'm not supe familiar with JSON, but if the data's structured in a reasonable way, it might be possible to make a Shinyapp that users could interact with. Source: about 4 years ago
If you know R, couldnโt that be achieved with Shiny? https://shiny.rstudio.com/. Source: about 4 years ago
Have you considered using R? It has probably the best C++ interop of any language with Rcpp, and you can make really cool visualizations and apps with shiny, https://shiny.rstudio.com/. Source: about 4 years ago
Nice to see an R Shiny app make it to the front page! https://shiny.rstudio.com/. - Source: Hacker News / over 4 years ago
In case anyone was confused like me about what Shiny is: โ Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.โ [0] [0] https://shiny.rstudio.com/. - Source: Hacker News / over 4 years ago
This would be a fairly simple Shiny app to build. Your best bet to start is with the Shiny documentation here, particularly the get started and gallery sections. You could try the book Mastering Shiny but thatโs probably overkill for such a simple app. Source: over 4 years ago
Do you know an article comparing Shiny to other products?
Suggest a link to a post with product alternatives.
Is Shiny good? This is an informative page that will help you find out. Moreover, you can review and discuss Shiny here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.