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Posit

Posit
Formerly RStudio

Overview

What is Posit?

Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

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Learn from top reviewers

Can't Beat Open-Source Software!

Rating: 10 out of 10
December 21, 2024
IncentivizedVetted ReviewVerified User
I use the open source software available through Posit, specifically Quarto and some of the main packages they manage (i.e, dplyr) for research analysis at work. Specifically,...
Continue reading
Verified user
Analyst
Posit6 years of experience

Posit, the Best ever Data Science Software

Rating: 10 out of 10
August 1, 2023
IncentivizedVetted ReviewVerified User
I use Posit software RStudio Pro to analyze, modelling and visualize dataset related to healthcare, medical affairs and pharma. There are lots of R packages available mainly d...
Continue reading
Samrit Pramanik
Analyst - Other
Data Scientist
Genpact
Posit3 years of experience

All-in with RStudio

Rating: 10 out of 10
June 30, 2023
IncentivizedVetted ReviewVerified User
RStudio products are used across multiple departments in our organization, including the research, IT, and data science business units. Our work largely involves analyzing cli...
Continue reading
Verified user
Analyst
Posit6 years of experience

RStudio Connect(s) your data science products to your clients.

Rating: 10 out of 10
April 21, 2022
Vetted ReviewVerified User
We license the RStudio Connect (RSC) product from RStudio. We also use, for free, the open source packages and development environment offered by RStudio. Without going into s...
Continue reading
Andrew Choens
Manager - Information Technology
Data Science and Engineering Leader
Acuitas Health, LLC
Posit1 year of experience

Top quality R and Python products with excellent customer support

Rating: 10 out of 10
January 25, 2022
IncentivizedVetted ReviewVerified User
My team uses RStudio products, but we distribute reports and dashboards to 100+ users. The business problem it addresses is how to get the data science work that we're doing i...
Continue reading
Chris Beeley
Manager - Research & Development
Senior Analyst
Nottinghamshire Healthcare NHS Foundation Trust
Posit3 years of experience
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Video Reviews

2 videos

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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
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Pricing

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Posit

Posit

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
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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

8.2
Avg 8.3

Data Exploration

Ability to explore data and develop insights

9.1
Avg 8.4

Data Preparation

Ability to prepare data for analysis

9.3
Avg 8.2

Platform Data Modeling

Building predictive data models

9.4
Avg 8.4

Model Deployment

Tools for deploying models into production

9.7
Avg 8.5
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Product Details

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

Screenshot of Posit runs on most desktops or on a server and accessed over the webScreenshot of Posit supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of Posit supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from Posit Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Jupyter: Author and edit Python code with Jupyter using the same Posit Workbench infrastructure.Screenshot of Posit Connect enables users to deploy Interactive Python Applications (including Dash, Bokeh and Streamlit), in the same place Shiny apps are shared.

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.

Watch Overview of Posit Connect

Posit Integrations

Posit Competitors

Posit Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

Anaconda, Dataiku, and Cloudera Data Science Workbench are common alternatives for Posit.

Reviewers rate Interactive Data Analysis and Self-Service Model Delivery and Security, Governance, and Cost Controls highest, with a score of 9.8.

The most common users of Posit are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

View all reviews
(1-5 of 123)

Can't Beat Open-Source Software!

Rating: 10 out of 10
Incentivized
December 21, 2024
Verified User
Analyst in Research & Development
Research Company, 10,001+ employees
Vetted Review
Verified User
Posit
6 years of experience
Use Cases and Deployment Scope
I use the open source software available through Posit, specifically Quarto and some of the main packages they manage (i.e, dplyr) for research analysis at work. Specifically, I work for a large government agency and do analyses on large source (i.e., tens of thousands) data of employees.

Posit, the Best ever Data Science Software

Rating: 10 out of 10
Incentivized
August 01, 2023
Use Cases and Deployment Scope
I use Posit software RStudio Pro to analyze, modelling and visualize dataset related to healthcare, medical affairs and pharma. There are lots of R packages available mainly dplyr, stringr, ggplot2, tidyr which we usually use in our day-to-day data management, data wrangling, cleaning, pre-processing tasks. Also, we use lots of other machine learning packages such as caret, tidymodels for statistical modelling and prediction. Our client network is integrated with AWS cloud platform so that we can use Posit software seamlessly and efficiently.

Business problems like patient analytics, feasibility studies are done using Posit Workbench. Based on clients' requirements and requests we use RStudio and R packages for data visualization including Bar plots, Line Plots for various kind of statistical analysis viz. Correlation analysis, LASSO regression, Elasso or Network analysis and Graph.

We have used RStudio for parallel computing with the R package VSURF to handle big data like millions of rows and columns (mostly patient churn and history data). We also used ggplot2 and plotly library for stunning graphs and plots.

Last but not the least, we have used Rmarkdown (or now Quarto) for generating PDF, Word reports to clients for data validation and case studies according to business requirements.

All-in with RStudio

Rating: 10 out of 10
Incentivized
June 30, 2023
Verified User
Analyst in Research & Development
Computer Software Company, 1001-5000 employees
Vetted Review
Verified User
Posit
6 years of experience
Use Cases and Deployment Scope
RStudio products are used across multiple departments in our organization, including the research, IT, and data science business units. Our work largely involves analyzing clinical and supply-chain data to improve quality of patient care and to reduce excess cost in the healthcare system. This work can include predicting patient outcomes based on clinical and demographic data, predicting supply shortages, and estimating under- or over-utilization of hospital resources.

Top quality R and Python products with excellent customer support

Rating: 10 out of 10
Incentivized
January 25, 2022
CB
Chris Beeley
Senior Analyst
Nottinghamshire Healthcare NHS Foundation Trust (Hospital & Health Care, 10,001+ employees)
Vetted Review
Verified User
Posit
3 years of experience
View profile
Use Cases and Deployment Scope
My team uses RStudio products, but we distribute reports and dashboards to 100+ users. The business problem it addresses is how to get the data science work that we're doing in R and Python (for example, text mining), as well as more day-to-day reporting based on some of the data structures that we have written in R/SQL.

RStudio Connect(s) your data science products to your clients.

Rating: 10 out of 10
April 21, 2022
AC
Andrew Choens
Data Science and Engineering Leader
Acuitas Health, LLC (Hospital & Health Care, 11-50 employees)
Vetted Review
Verified User
Posit
1 year of experience
View profile
Use Cases and Deployment Scope
We license the RStudio Connect (RSC) product from RStudio. We also use, for free, the open source packages and development environment offered by RStudio. Without going into specifics, our Connect license is about 1/6th the cost of our QlikView license, which we will discontinue once we are done porting legacy dashboards off of it. A direct comparison between Qlik and RSC is unfair. Products such as QlikView and PowerBI are BI tools which licensed users use to build dashboards. I refer to RSC as a content management platform for data science. We use it to: Validate our data and alert us to problems. Email reports to clients in PDF and Excel. Upload data to FTP servers and to send HL7 messages (via a HL7 engine). Hosts our internal API. Host machine learning models. Host custom-built dashboards. And, staff love developing against it.I could calculate an ROI for everything, except staff satisfaction. But the value add is there and it is valuable.
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