Shiny

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Shiny
Score 8.0 out of 10
N/A
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.N/A
Pricing
Shiny
Editions & Modules
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Offerings
Pricing Offerings
Shiny
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Shiny
User Ratings
Shiny
Likelihood to Recommend
8.0
(0 ratings)
User Testimonials
Shiny
Likelihood to Recommend
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.
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Pros
  • 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.
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Cons
  • 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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Alternatives Considered
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.
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Return on Investment
  • We saw a good involvement to researchers when showing their models in shiny.
  • We can have a quicker review from the user when the model is in production.
  • False positives can be found easily and they help the retraining of the model.
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