Shiny

Shiny

11 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Shiny	Score 7.9 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

No answers on this topic

Offerings

Pricing Offerings
Shiny
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Shiny
Considered Both Products	Shiny Verified User Analyst Chose Shiny 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 … Incentivized Helpful? Kenton Woods Research Assistant Chose Shiny Shiny is much cheaper to use than Tableau Desktop and Microsoft Power BI. It's not as fancy, and maybe not as effective, but you save lots of money by using Shiny over the previously listed alternatives. The graphs and charts you can make in Shiny are very good for … Incentivized Helpful? Verified User Consultant Chose Shiny Both Tableau and Power BI are easier to learn and allow you to develop dashboards in a faster and more intuitive way, but both have limitations in what you can do with them and if you want to do something more specific it is always more complicated. RStudio is much more … Incentivized Helpful? Verified User Analyst Chose Shiny - Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling. Incentivized Helpful? VK Varun Kumar Data Science and Analytics Lead Chose Shiny Shiny can be a good tool in academic but its not upto standard of TMT industry but could possibly be useful in life science industry (which is where its more prevalent usually), its good as its mostly free (not including cost of servers and compute). I would rank its … Incentivized Helpful? Verified User Engineer Chose Shiny Shiny allows easy and fast development of a product into production whereas Jupyter Notebook can be broken really easily by a user. The idea of having a specific server that works with that model is very practical and it's a good advantage. In the contrary, the quantity of … Incentivized Helpful?
Top Pros	Pro R studio Pro Better visualization Pro Easy to share
Top Cons	Minus Better access Minus Technical staff Minus Access control

Best Alternatives
	Shiny
Small Businesses	IBM SPSS Modeler Score 7.8 out of 10
Medium-sized Companies	Mathematica Score 8.2 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10
All Alternatives	View all alternatives

User Ratings
	Shiny
Likelihood to Recommend	7.9 (6 ratings)

User Testimonials
	Shiny
Likelihood to Recommend	Posit (formerly RStudio) 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. Incentivized Verified User Anonymous Read full review
Pros	Posit (formerly RStudio) 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. Incentivized Kenton Woods Research Assistant Read full review
Cons	Posit (formerly RStudio) Easier ways to connect to data sources Better access control for different roles in the organization Video material that allows a better learning experience Incentivized Verified User Anonymous Read full review
Alternatives Considered	Posit (formerly RStudio) - Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling. Incentivized Verified User Anonymous Read full review
Return on Investment	Posit (formerly RStudio) 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. Incentivized Verified User Anonymous Read full review
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