Audience

Posit is ideal for data scientists, analysts, and enterprise teams seeking powerful, open-source-driven tools for coding, collaboration, and secure data-science deployment

About Posit

Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.

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Pricing

Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
More Reviews Write a Review

Company Information

Posit
Founded: 2009
United States
posit.co

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Product Details

Platforms Supported
Windows
Mac
Training
Documentation
In Person
Support
Phone Support
Online

Posit Frequently Asked Questions

Q: What kinds of users and organization types does Posit work with?
Q: What languages does Posit support in their product?
Q: What kind of support options does Posit offer?
Q: What other applications or services does Posit integrate with?
Q: What type of training does Posit provide?
Q: Does Posit offer a free trial?

Posit Product Features

Big Data

Templates Not Supported
Data Visualization Not Supported
Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
Data Mining Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported

Data Science

Data Ingestion Not Supported
Data Preparation Not Supported
Data Visualization Not Supported
Data Discovery Not Supported
Advanced Modeling Not Supported
Model Deployment Not Supported
Access Control Not Supported
Audit Logs Not Supported
Reports Not Supported

IDE

Code Completion Not Supported
Compiler Not Supported
Cross Platform Support Not Supported
Debugger Not Supported
Drag and Drop UI Not Supported
Integrations and Plugins Not Supported
Multi Language Support Not Supported
Project Management Not Supported
Text Editor / Code Editor Not Supported

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported

Source Code Management

Change Management Not Supported
Build Automation Not Supported
Repository Management Not Supported
Access Controls/Permissions Not Supported
Continuous Integration Not Supported
Code Review Not Supported
Collaboration Not Supported
Version Control Not Supported
Bug Tracking Not Supported

Statistical Analysis

Visualization Not Supported
Analytics Not Supported
Multivariate Analysis Not Supported
Survival Analysis Not Supported
Regression Analysis Not Supported
Statistical Process Control Not Supported
Forecasting Not Supported
Time Series Not Supported
File Management Not Supported
File Storage Not Supported
Association Discovery Not Supported
Compliance Tracking Not Supported
Statistical Simulation Not Supported

Posit Additional Categories

Posit Verified User Reviews

Write a Review
  • Robert G.
    Student
    Used the software for: 6-12 Months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Statistics and graphs"

    Posted 2022-03-23

    Pros: Powerful statistical tools.
    Good quality customisable plots, all different types using all different data and models.
    Easy to import from csv and there's plenty of datasets around if you go looking.
    Easy to create and export graphs.
    Being able to quickly and easily visualise (and share) data is more useful than I could have imagined. All the "academic" data online is suddenly easy to use.
    I haven't even scratched the surface of community created packages, but they're easy to install, not always so easy to use.

    Cons: You can get unhelpful syntax error messages.
    The basics work well but sometimes just changing something (eg colours) in specialised plots feels like a hard programming puzzle.
    It's mostly straight-forward like "plot(data)", but the commands are written in a programming language and get tricky depending on your needs.

    Overall: I've been studying statistics for the last year and RStudio is the easy part. You get a lot of value by visualising stuff and it's easy. It automatically calculates correlations, associations, confidence intervals, prediction intervals, p/t/f values... Even if you just have a straight list of numbers you can get a boxplot, standard deviation, test normality...

    Read More...
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