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

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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

Videos and Screen Captures

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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
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Source Code Management

Change Management
Build Automation
Repository Management
Access Controls/Permissions
Continuous Integration
Code Review
Collaboration
Version Control
Bug Tracking

Statistical Analysis

Visualization
Analytics
Multivariate Analysis
Survival Analysis
Regression Analysis
Statistical Process Control
Forecasting
Time Series
File Management
File Storage
Association Discovery
Compliance Tracking
Statistical Simulation

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...

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