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.
Empower Analytical Insights With Shiny
Shiny - a great tool for developing data visualizations on the cheap.
Shiny a great tool for a data driven organization
Trying to advance R analysis with Shiny
Shiny : How does it compares to other products on market
Shiny gives a good product for an affordable price
There …
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
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 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…
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.
Product Demos
Pokemon Sun and Moon SHINY HUNT! (Pokemon Demo)
Shiny Summer Days Demo Part 2
One Ingredient Make My Hair Super Glossy & Shiny | 100% Natural & live demo |
Want Shiny, Volumized, Frizz-Free Hair? ~ John Freida Salon Shape Review & Demo
Product Details
- About
- Tech Details
What is Shiny?
Shiny Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(11)Community Insights
- 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)Empower Analytical Insights With Shiny
- Data transformation.
- Data visualisation.
- Repeatable analytical pipelines.
- Learning for beginners.
- 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.
Shiny a great tool for a data driven 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
Trying to advance R analysis 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
Shiny : How does it compares to other products on market
- 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.
Shiny gives a good product for an affordable price
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.
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.