Posit Description

Posit delivers a comprehensive ecosystem for modern data science, uniting open-source technologies with enterprise-grade collaboration and deployment tools. Positron, its free data-science IDE, blends the immediacy of a console with powerful debugging, editing, and production capabilities for Python and R developers. Posit’s suite of products allows organizations to securely host analytical content, automate reporting, and operationalize models with confidence. With strong support for open-source tooling, the company enables teams to build on transparent, extensible technologies they can fully trust. Cloud solutions simplify how users store, access, and scale their projects while maintaining reproducibility and governance. Customer success stories from organizations like Dow, PING, and the City of Reykjavík highlight the impact of Posit-powered applications in real-world environments. Posit also fosters a thriving community, offering resources, events, champions programs, and extensive documentation. Built by data scientists for data scientists, Posit helps teams adopt open-source data science practices at enterprise scale.

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Pricing

Free Version:
Yes
Free Trial:
Yes

Integrations

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Reviews - 1 Verified Review

Total
ease
features
design
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Company Details

Company:
Posit
Year Founded:
2009
Headquarters:
United States
Website:
posit.co

Media

Posit Screenshot 1
Posit Screenshot 1 Posit Screenshot 2
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Product Details

Platforms
Windows
Mac
Types of Training
Training Docs
In Person
Customer Support
Business Hours
Online Support

Posit Features and Options

Data Science Software

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

Big Data Platform

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

Statistical Analysis Software

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

Machine Learning Software

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

IDE Software

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

Source Code Management Software

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

Posit Lists

Posit User Reviews

Write a Review
  • Name: Robert G.
    Job Title: Student
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Statistics and graphs

    Date: Mar 23 2022

    Summary: 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...

    Positive: 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.

    Negative: 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.

    Read More...
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