Software Alternatives, Accelerators & Startups

Shiny

Shiny is an R package that makes it easy to build interactive web apps straight from R.

Shiny

Shiny Reviews and Details

This page is designed to help you find out whether Shiny is good and if it is the right choice for you.

Screenshots and images

  • Shiny Landing page
    Landing page //
    2023-06-30

Features & Specs

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Reactive Programming

    Shinyโ€™s reactive programming model simplifies the process of building interactive applications by automatically updating output whenever input changes, reducing the need for manual event handling.

  6. Community Support

    Shiny has a large and active community, offering plentiful resources such as tutorials, examples, and forums for troubleshooting and learning.

Badges

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Videos

SHINY - PS4 REVIEW

My Opinion on EVERY Shiny Pokรฉmon [Generation 1 to 7]

Review: Shiny (PlayStation 4) - Defunct Games

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Shiny and what they use it for.
  • Add Authentication and SSO to Your Shiny App
    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
  • Big Book of R
    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
  • React for R
    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
  • R: Introduction to Data Science
    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
  • Reflex โ€“ Web apps in pure Python
    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
  • PSA: You don't need fancy stuff to do good work.
    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
  • A project to show off my basic R skills
    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
  • Greatest projects that you have done?
    One of the most difficult yet most fun projects Iโ€™ve done. Using Shiny to make an app, all coded in R! Source: over 3 years ago
  • What tools do I need to create a web based application that shows detailed graphs based on user input?
    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
  • R alternative
    Shiny might be what you're looking for. Source: over 3 years ago
  • Beyond Excel - Data visualisation and analytics of kettlebell work
    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
  • Is python necessary to learn machine learning?
    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
  • Model Generation Application
    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
  • How I can do this graphic in shiny?
    For example, you donโ€™t appear to have even googled considering one of the top hits for โ€œshinyโ€ is the shiny website, which is full of documentation, tutorials, and a gallery of examples. Source: about 4 years ago
  • It's finally happening!
    I think normally it's the data scientists with graphs in Shiny. Source: about 4 years ago
  • The Argoknot project
    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
  • I know that I may not belong here but I have 15 days to make a test-based game for my girlfriend.
    If you know R, couldnโ€™t that be achieved with Shiny? https://shiny.rstudio.com/. Source: about 4 years ago
  • Calling C++ from nodejs
    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
  • Show HN: Covid โ€“ How did you fare?
    Nice to see an R Shiny app make it to the front page! https://shiny.rstudio.com/. - Source: Hacker News / over 4 years ago
  • Reviewing my first Rstats Shiny App (1/n): Buttons
    In case anyone was confused like me about what Shiny is: โ€œ 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
  • Decision Tree Shiny App
    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 thatโ€™s probably overkill for such a simple app. Source: over 4 years ago

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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.