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Intuitive User Interface: Users have found RStudio to have an intuitive user interface that allows them to quickly test and debug code. …
Overview
What is Posit?
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
Recent Reviews
Awards
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Popular Features
- Visualization (26)8.484%
- Connect to Multiple Data Sources (25)8.181%
- Extend Existing Data Sources (26)7.474%
- Automatic Data Format Detection (25)6.363%
Reviewer Pros & Cons
Video Reviews
2 videos
RStudio Review: It Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
02:53
RStudio Review: Works As An Useful Tool But User Finds Free Version Could Be More Competitive
02:13
Pricing
N/A
Unavailable
What is Posit?
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
Entry-level set up fee?
- Setup fee optional
For the latest information on pricing, visithttps://posit.co/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
What is Posit Workbench? Build Data Products in R & Python using Jupyter, VSCode, and RStudio.
YouTube
Posit Connect | Host all of the data products you create
YouTube
Features
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Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is Posit?
Posit, formerly RStudio, provides a modular data science platform that combines open-source and commercial products.
their open source offerings, such as the RStudio IDE, Shiny Server, rmarkdown and the many packages in the tidyverse, boast users among data scientists around the world to enhance the production and consumption of knowledge by everyone, regardless of economic means.
Their commercial software products, including Posit Workbench, Posit Connect, and Posit Package Manager, are available as a bundle in Posit Team. These products aim to give organizations the confidence to adopt R, Python and other open-source data science software at scale. This enables data science teams using R and Python to deliver interactive reports and applications to decision-makers, leverage large amounts of data, integrate with existing enterprise systems, platforms, and processes, and be compliant with security practices and standards.
The platform is complemented by online services, including Posit Cloud and shinyapps.io, to make it easier to do, teach and learn data science, and share data science insights with others, over the web.
Posit’s open-source software and commercial software form what the vendor describes as a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for Posit’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone.
Posit Features
Platform Connectivity Features
- Supported: Connect to Multiple Data Sources
- Supported: Extend Existing Data Sources
- Supported: Automatic Data Format Detection
Data Exploration Features
- Supported: Visualization
- Supported: Interactive Data Analysis
Data Preparation Features
- Supported: Interactive Data Cleaning and Enrichment
- Supported: Data Transformations
Platform Data Modeling Features
- Supported: Multiple Model Development Languages and Tools
- Supported: Single platform for multiple model development
- Supported: Self-Service Model Delivery
Model Deployment Features
- Supported: Flexible Model Publishing Options
- Supported: Security, Governance, and Cost Controls
Additional Features
- Supported: Share Data Science insights in the form of Shiny applications, Quarto content, R Markdown reports, Plumber APIs, dashboards, Jupyter Notebooks, and interactive Python content.
Posit Screenshots
Posit Videos
Open Source Software for Data Science - CEO J.J. Allaire provides an overview of Posit's mission, and why Posit has become a Public Benefits Corporation.
Posit Integrations
- Amazon SageMaker
- Kubernetes
- Apache Spark
- Jupyter Notebook
- Streamlit
- Tableau Desktop
- Azure Machine Learning
- Databricks Lakehouse Platform
- Microsoft Visual Studio Code
- Bokeh
- Slurm
- Dash applications
- SAML Marketplaces
Posit Competitors
Posit Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | No |
Frequently Asked Questions
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
Reviewers rate Security, Governance, and Cost Controls highest, with a score of 8.9.
The most common users of Posit are from Enterprises (1,001+ employees).
Comparisons
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Reviews and Ratings
(237)
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!
- Pros
- Cons
- Recommendations
Intuitive User Interface: Users have found RStudio to have an intuitive user interface that allows them to quickly test and debug code. This has been mentioned by numerous reviewers, highlighting the ease of use and convenience it offers in coding tasks.
Seamless Integration with Git: The seamless integration of RStudio with Git has been praised by users, making it easy for them to manage version control. Several reviewers have specifically mentioned this as a major advantage of using RStudio for their coding projects.
Powerful Statistical Analysis Tool: Many users appreciate RStudio's capabilities as a powerful tool for statistical analysis and data exploration. They mention its ability to import data from multiple sources, apply machine learning models easily, and export data into various channels.
Confusing and Outdated User Interface: Several users have expressed dissatisfaction with the user interface of RStudio, finding it confusing, unattractive, and outdated compared to other tools. They feel that the interface is too technical for business people.
Frequent Crashes with Large Datasets: Some users have mentioned that RStudio frequently crashes when loading large amounts of data. This can be frustrating and disrupt their workflow.
Lack of Integration with Other Applications: Users have pointed out that RStudio is not as integrated with other applications as Python. This limitation makes it less convenient for users who rely on seamless integration between different software tools.
Users commonly recommend RStudio for beginners in R programming and data analytics. They believe that RStudio is a good tool for learning machine learning and recommend using it for data work, programming R code for machine learning, implementing R software, data analysis, and data science. Users consider RStudio to be a great resource for analyzing data and necessary for anyone who wants to get into R programming. While considering other suites and languages like Python, they still recommend taking a look at RStudio for data analysis. Additionally, users find RStudio to be useful for doing statistics and creating professional plots and figures. They suggest familiarizing oneself with common libraries in the field and doing online tutorials before starting to use RStudio. Users warn about the steep learning curve but believe it is worth investing the time to learn it. Moreover, they recommend using RStudio for big data and epidemiological research.
Attribute Ratings
Reviews
(1-4 of 4)Companies can't remove reviews or game the system. Here's why
September 06, 2021
RStudio for quick prediction prototyping
Very few of us are getting into predictions using Machine Learning and Data Science. We use Rstudio to program our algorithms. There are only a handful of people in the whole organization who use Rstudio right now. We use it in pockets, and do the proof of concepts with Machine Learning using R.
- We use it for a quick visual representation of data
- We do exploratory data analysis to understand data
- We do predictions using RStudio
- When we have to run 100 iterations using more than 10000 records, RStudio gets stuck or takes a very very long time to respond
- Generating a pdf report from an RMD file is very difficult from RStudio.
- Generating a pdf report in RStudio cloud is straightforward and inbuilt.
- RStudio is free and it's easy to start using it
- It's easy to install new libraries and start using them seamlessly
- The installation of some libraries is challenging, especially when they depend on a lot of other libraries.
- RStudio crashes when there is a clash between libraries somehow.
I have used Jupyter notebooks. I have used the cloud version of RStudio extensively. I program mainly in R as we have some libraries on Microstrategy which are in R. So, R was a natural choice for prototyping. I also use Jupiter Notebook for python programming. But, I use this less often than R.
10
We are a varied group of individuals coming from different backgrounds. Some are data scientists, some are Ph.D. doctors, some are programmers like me. All of us work on business problems, which present a lot of data which does not have immediate meaning to the business. We try to run predictions based on that data.
10
We are a bunch of programmers who use Rstudio. We do not really support the software, but we use it. We do help each other when we run into issues or get stuck into specific programming needs using R. Most of us have some kind of programming experience. There are some Ph.D. scientists who also program on RStudio.
- Running quick predictions based on the data at hand
- Representing data using graphs and charts
- Exploratory data analysis using RStudio
- We use it for scatterplot matrices
- We use it to quickly see the dependencies of various predictors
- We check multicollinearity between our input columns
- We hope to use it on a production run basis on cloud
- We need to be able to scale our prototype solution to larger sets of data
- We wish to have stable models, using Rstudio, which can be dynamic based on new data
No
- Price
- Vendor Reputation
- Third-party Reviews
It's free and easy to use. That's most important, as it gives us the flexibility to switch to something else for our prototyping needs.
If we had to do it again, we would like consider a product which is cloud first. We currently use RStudio Cloud, which is close to what we want in the future. But how much can we scale is the question. We have not really tested that yet. We would assume there are options to use it on cloud vendors such as Azure and AWS.
- Implemented in-house
No
Change management was minimal
I did not purchase premium support. I just use the cloud-based and RStudio IDE.
No
None
- Generation of HTML reports out of the RMD
- quick help files for any functions
- A quick view of data files
- The loading of files with lot of data takes a lot of time
- Generation of pdf report from RMD is not very easy.
No
September 01, 2021
RStudio is amazing, the future of Data Science
Score 10 out of 10
Vetted Review
Verified User
I use RStudio for research & teaching purposes (I'm a professor in a business school). I know 5-6 of my colleagues also use it. All of my courses are entirely focused on coding and I use RStudio all the time in class. Additionally, all of my research revolves around uses of R code, thus I spend 5-6h/day working with RStudio.
- Amazing user interface
- Great package development
- Incredible simple to use
- Joyful team & community
- NLP, a package (wrapper) for major models (ex: GPT3), just as for Keras-Tensorflow
- I could not have done half of what I do without RStudio (research & pedagogy).
- It's so good that it's hard to code elsewhere now (ex: Jupyter Notebooks)
I have tried to work a bit with Jupyer notebooks and Spyder, but both are way less agreeable than RStudio.
Once you taste RStudio, you can't go back!
Once you taste RStudio, you can't go back!
6
Teaching and research
We do not have in-house support. We help each other when need be.
- Learning R
- Carrying out empirical research work
No
- Price
- Product Features
- Product Usability
- Product Reputation
- Prior Experience with the Product
- Implemented in-house
No
Change management was minimal
You don't need to purchase support.
You get help from free resources like StackOverflow.
You get help from free resources like StackOverflow.
No
No
August 31, 2021
RStudio--Standing on the shoulders of giants
We model economic indicators for cities in Mexico. Traffic congestion and other demographics.
- Coordinate data wrangling with visualizations
- Interactions with other software
- Project management
- Function name autofill
- Speed
- More and clearer detail on dashboard bugs
- We can communicate insights in a very professional way
- We can scale up solutions
- We can adapt different solutions to our projects
- We save time in order to invest it in analysis
With RStudio I can easily deploy insightful information and I can update it. Moreover, it takes minutes normally to resolve most of the new requests or to scale if needed. I have the control of my code and I can translate it into digestible reporting.
1
Data Analytics
1
Small start-up
- Modeling new traffic congestion initiatives
- Historical traffic data
- Monitoring live traffic congestion data
- Dashboard capabilities for story telling
- Speed of implementation of new ideas
- Easy interaction with other softwares
- Report users metrics on traffic congestion
- Predict traffic bubbles
- Analyze alternative data and report the results - live
No
- Price
- Product Features
- Product Usability
- Product Reputation
- Prior Experience with the Product
I've tried Rstudio in the past and I knew its capabilities to simplify complex analysis
Difficult to tell at this stage
- Implemented in-house
No
Change management was minimal
- Deciding when to upgrade to more premium versions of products
No, I considered but it is still not cost effective for my company. We hope we can escalate next year
No
Not yet.
- Environment creation
- Link with Python
- Link with Rmarkdown might be unstable
December 23, 2020
RStudio is the leading IDE for R
RStudio is the leading tool for running R code interactively. We use it for bioinformatics and data science research. While RStudio is free, RStudio the company also offers a series of paid offerings with additional features. They do a good job supporting their paid products. Overall, RStudio is the top tool for running R code.
- Interactive usage
- Good community support
- Active development
- Better documentation on new offerings
- Better debugging of community offerings
- Less closed ecosystem
- Allows novice users to use R
- Interactive feedback
- Good core feature set
RStudio gives a more integrated R experience compared to Jupyter. RStudio is the ideal tool for running R interactively.
100
RStudio is the major IDE for R, and R is used for statistical and bioinformatics analysis across multiple groups. R is the leading and often only tool for many different types of analysis.
100
There are a range of skills for RStudio users, from new fellows just starting biostatistics/bioinformatics work to senior users who have many years of experience.
- Biostatistic modeling - regression analysis etc
- Bioinformatics analysis - microbiome, RNA-seq, etc
- Machine Learning through caret
- Build dash boards to facilitate cooperation between groups.
- Use notebooks for interactive training.
- Use notebooks for sharing
- More dashboards in the future.
- More notebooks for cooperation.
- Better reproducibility through Rproj and Renv
No
- Product Features
- Product Usability
RStudio allows interactive R coding, which is a major language used by our institutions. It allows both novice and expert users to have a good experience with R.
I won't. RStudio products are the best for R
- Implemented in-house
No
Change management was minimal
More training and communication with users.
- Changing expectations from users.
Yes
Included in our purchase
Yes
Yes. It was handled quickly and promptly.
We were discussing some additional features, and the product support team helped us find equivalent functions.
- Environment reproduction
- Literate notebooks
- Rproj for building projects
- Running cluster or parallel jobs