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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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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

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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

(12)

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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Empower Analytical Insights With Shiny

Rating: 9 out of 10
June 15, 2022
Verified User
Vetted Review
Verified User
Shiny
6 years of experience
We use Shiny to collate data from disparate sources, transform and generate advanced analysis served through Shiny dashboards and R Markdown documents. R is one of two standards within our organisation's field, enabling us to learn and share within a wide community of interest. Additionally the continued support and development of packages enables us to utilise the latest improvements right now.
  • Data transformation.
  • Data visualisation.
  • Repeatable analytical pipelines.
Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.

Shiny - a great tool for developing data visualizations on the cheap.

Rating: 8 out of 10
June 02, 2022
KW
Vetted Review
Verified User
Shiny
1 year of experience
We use Shiny in our labs to create data dashboards for a lay audience. It's a very effective tool for creating data visualizations for a lay audience. Essentially it allows data experts to create important visualizations that can be easily accessed by the end-users we are targeting. We use it frequently.
  • 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.
I think that Shiny is a great tool for someone who wants to create data visualizations outside of Tableau Desktop or Power BI, which are both common in the data visualization industry. I think that it may be less suitable for folks who have the funds for Tableau or Power Bi licenses.

Shiny a great tool for a data driven organization

Rating: 10 out of 10
April 29, 2022
Verified User
Vetted Review
Verified User
Shiny
2 years of experience
We use Shiny for the development of dashboards for monitoring indicators of many areas of the business, mostly commercial. This product has allowed us to provide better visibility of various aspects of the business thanks to the development of tools and web dashboards that allow access to many people within the organization.
  • Easy to develop with R
  • Flexibility when developing dashboards
  • Good documentation
  • Big community with a lot of examples
Shiny is very good for developing dashboards or web applications with specific functionalities. But it is not so easy to use to develop from scratch, it is always better to use another tool to have a general idea of ​​what is expected of a dashboard and then develop the most specific functionalities in Shiny. It is much more flexible than other tools and that is why I consider it to be better for most cases, only that it is more complex to develop or has a longer learning curve.

Trying to advance R analysis with Shiny

Rating: 8 out of 10
April 29, 2022
Verified User
Vetted Review
Verified User
Shiny
2 years of experience
Shiny is a very useful tool to share the analysis performed by the team when people need to interact with them. Very useful especially when different scenarios have been performed and the variable is a choice point. The receiver can compare and visualize them in an easy app/dashboard with Shiny.
  • Work with R Studio in a easy way
  • Build dynamic views working with variables
  • Easy to share
It is very useful when you are working with R Studio for analyzing data and you need to share the outputs with colleagues or stakeholders. Especially useful for dynamic visuals based on a variable to show how different scenarios would be based on the decision variable. It is slightly complex for executive forums and to show key insights from the analysis as the final output, but very good during the analysis.

Shiny : How does it compares to other products on market

Rating: 4 out of 10
April 28, 2022
VK
Vetted Review
Verified User
Shiny
6 years of experience
Shiny is a tool to create dynamic and interactive visualizations and that is how I have used it throughout with a few of my clients.
  • Dynamic visualization
  • Showcase interactive drop downs to choose from
  • Showcase sliders to select values
Shiny can be a complex tool for business intelligence needs, which requires a high level of coding skills and R programming knowledge base and a dashboard in Shiny can not be put together by a non-programmer business stakeholder. This tool is more suited for academic settings as the code can become lengthy and complex to integrate new enhancements.

Shiny gives a good product for an affordable price

Rating: 8 out of 10
April 26, 2022
Verified User
Vetted Review
Verified User
Shiny
2 years of experience
We deliver dashboards from specific models generated in R for diverse researchers working in the Research and Development department.

There are models generated to model different diseases (called disease modeling) that include working with patient data (historical data).

This can include Rx, fluids, and medical notes. It involves different structures of data, such as text, columnar, time series, and images.
  • Interacting with ML models.
  • Deliver an online service.
  • Ability to select the best model.
Shiny is well suited for classical ML models that involve 1 specific type of data and the model uses a specific R library or package.

When the problem needs the application of several tools and libraries, Shiny could improve the speed of the model in production.

I really like how you can play with your models using real data.
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