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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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Product Demos

Pokemon Sun and Moon SHINY HUNT! (Pokemon Demo)

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Shiny Summer Days Demo Part 2

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One Ingredient Make My Hair Super Glossy & Shiny | 100% Natural & live demo |

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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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Kenton Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Data tables are appealing to look at.
  • Enables us to create trend indexes in an effective way.
  • Easy to integrate with the rest of my R syntax.
  • There's definitely a learning curve.
  • There's a lot of functionality such as HTML widgets that require more than just R experience.
  • There are a variety of tools available, but it can be tough to know where to start.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Easy to develop with R
  • Flexibility when developing dashboards
  • Good documentation
  • Big community with a lot of examples
  • Easier ways to connect to data sources
  • Better access control for different roles in the organization
  • Video material that allows a better learning experience
Score 4 out of 10
Vetted Review
Verified User
Incentivized
  • Dynamic visualization
  • Showcase interactive drop downs to choose from
  • Showcase sliders to select values
  • Shiny can be really time consuming to create visuals.
  • It needs excellent knowledge of R programming and coding skillset.
  • It still has a limited set of options to choose from.
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