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Shiny

Shiny

Overview

What is Shiny?

Shiny allows users to create data visualization apps, and is designed to be easy to write with. These apps let users interact with data and analyses with R or Python.

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Recent Reviews

TrustRadius Insights

Shiny, an interactive data visualization tool, has found its place among data experts who aim to make complex analysis accessible to a lay …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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What is Shiny?

Shiny allows users to create data visualization apps, and is designed to be easy to write with. These apps let users interact with data and analyses with R or Python.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.

What is IBM Cognos Analytics?

IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.

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Product Demos

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Shiny Summer Days Demo Part 2

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Product Details

What is Shiny?

Shiny from Posit (formerly RStudio) is an open-source R package that make it easy for users to build web apps directly from within R. Users can host Shiny apps behind the firewall with Posit Connect or Shiny Server Pro.

Shiny Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(11)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Shiny, an interactive data visualization tool, has found its place among data experts who aim to make complex analysis accessible to a lay audience. By collating data from various sources and leveraging Shiny dashboards and R Markdown documents, users have been able to generate advanced analysis and dynamic visualizations. This flexibility is further enhanced by the continuous support and development of packages within the Shiny ecosystem, allowing users to harness the latest improvements.

One key use case of Shiny lies in the commercial sector, where it has been employed to develop dashboards for monitoring indicators in different areas of business. These web dashboards have greatly improved visibility across the organization, ensuring that relevant stakeholders have access to essential business insights. Moreover, Shiny's ability to share analyses and facilitate interaction with the data has proven invaluable in scenarios where multiple analyses or what-if scenarios need to be explored.

Researchers in the Research and Development department have also benefited from Shiny's capabilities. It has served as a platform for delivering dashboards based on specific models generated in R. Notably, these models encompass disease modeling, which often involves working with diverse patient data such as medical notes, Rx records, fluids, and various data structures like text, columns, time series, and images. Shiny's interactive nature allows researchers to delve into the intricacies of their models while empowering them to effectively communicate their findings.

Dynamic Visualization: Some users have found the dynamic visualization feature of the product to be particularly helpful, allowing them to showcase interactive drop downs and sliders for analyzing data in an engaging and interactive manner.

Effective Trend Tracking: Reviewers have mentioned that the product enables them to create trend indexes effectively. This feature allows for easy tracking and analysis of trends over time, providing valuable insights for analytical work.

Data Transformation and Automation: Users appreciate the ability to build repeatable analytical pipelines with the product, automating and streamlining their data analysis processes. They find this feature useful for data transformation and visualization tasks.

Some users have found Shiny to be time-consuming and challenging due to the need for excellent knowledge of R programming and coding skills. They feel that it takes a significant amount of time and expertise to work with the platform effectively.

Several reviewers have mentioned that there is a steep learning curve associated with Shiny, making it difficult for beginners to get started. They have expressed that it can be overwhelming to navigate the platform initially.

Users have expressed their frustration with the lack of easy ways to connect to data sources in Shiny. Additionally, they have mentioned the need for better access control features that allow different roles within their organizations to have appropriate levels of access.

Reviews

(1-6 of 6)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
Whilst dashboarding may be comparable with some of the other products we evaluated. Nothing compared to the analytical capabilities on offer with Shiny. An added advantage was that we had colleagues knowledgeable in R which meant bringing in Shiny and getting to grips with it was a lot more seamless and welcomed by the end users.
Kenton Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Shiny is much cheaper to use than Tableau Desktop and Microsoft Power BI. It's not as fancy, and maybe not as effective, but you save lots of money by using Shiny over the previously listed alternatives. The graphs and charts you can make in Shiny are very good for communicating data to a lay audience.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Both Tableau and Power BI are easier to learn and allow you to develop dashboards in a faster and more intuitive way, but both have limitations in what you can do with them and if you want to do something more specific it is always more complicated. RStudio is much more flexible and in most cases it allows you to do certain things in a simpler way despite being more complicated to learn.
Score 4 out of 10
Vetted Review
Verified User
Incentivized
Shiny can be a good tool in academic but its not upto standard of TMT industry but could possibly be useful in life science industry (which is where its more prevalent usually), its good as its mostly free (not including cost of servers and compute). I would rank its performance lower to any of the above industry tools I work with as Shiny is more complex, requires programming and domain skillset, hard to scale up.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Shiny allows easy and fast development of a product into production whereas Jupyter Notebook can be broken really easily by a user. The idea of having a specific server that works with that model is very practical and it's a good advantage.
In the contrary, the quantity of models you could apply to your data is boxed due to R restrictions, while a Jupyter Notebook has much less of a limit.
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