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 …
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.
Recent Reviews
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
Pricing
N/A
Unavailable
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
Would you like us to let the vendor know that you want pricing?
4 people also want pricing
Alternatives Pricing
What is Tableau Desktop?
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 Grafana?
Grafana is a data visualization tool developed by Grafana Labs in New York. It is available open source, managed (Grafana Cloud), or via an enterprise edition with enhanced features. Grafana has pluggable data source model and comes bundled with support for popular time series databases like…
Product Demos
Pokemon Sun and Moon SHINY HUNT! (Pokemon Demo)
YouTube
Shiny Summer Days Demo Part 2
YouTube
One Ingredient Make My Hair Super Glossy & Shiny | 100% Natural & live demo |
YouTube
Want Shiny, Volumized, Frizz-Free Hair? ~ John Freida Salon Shape Review & Demo
YouTube
Product Details
- About
- Tech 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 Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
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!
- Business Problems Solved
- Pros
- Cons
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)Companies can't remove reviews or game the system. Here's why
June 15, 2022
Empower Analytical Insights With Shiny
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.
- Learning for beginners.
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.
- 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.
April 29, 2022
Shiny a great tool for a data driven organization
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
- Easier ways to connect to data sources
- Better access control for different roles in the organization
- Video material that allows a better learning experience
April 29, 2022
Trying to advance R analysis with Shiny
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
- More aesthetic visuals
- Complex for non-technical profiles
April 28, 2022
Shiny : How does it compares to other products on market
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 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.
April 26, 2022
Shiny gives a good product for an affordable price
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.
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.
- Speed
- Work in the cloud.
- Working with images.