What is Posit?

At Posit, our mission is to transform data science into a more open, accessible, user-friendly, and collaborative field for all. Our comprehensive suite of tools enables individuals, teams, and organizations to harness advanced analytics for meaningful insights that drive significant change. Since our foundation, we have championed open-source software, including RStudio IDE, Shiny, and tidyverse, as we believe in making data science tools available to everyone. We provide solutions based on R and Python that streamline the analysis process, allowing users to achieve superior results in a shorter timeframe. Our platform promotes secure sharing of data-science applications throughout your organization, emphasizing that the code we create is yours to build upon, share, and utilize for the benefit of others. By simplifying the tasks of uploading, storing, accessing, and distributing your work, we strive to create a seamless experience for you. We are always eager to hear about the remarkable projects being developed globally with our tools, and we value the chance to share these inspiring stories with our community. Ultimately, we aim to cultivate a dynamic ecosystem where data science can thrive and empower everyone involved, fostering innovation and collaboration at every level.

Pricing

Free Version:
Free Version available.
Free Trial Offered?:
Yes

Integrations

Screenshots and Video

Posit Screenshot 1

Company Facts

Company Name:
Posit
Company Location:
United States
Company Website:
posit.co

Product Details

Deployment
Windows
Mac
Training Options
Documentation Hub
On-Site Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Posit Categories and Features

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

Source Code Management Software

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

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

Data Science Software

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

Posit Customer Reviews

Write a Review
  • Reviewer Name: Robert G.
    Position: Student
    Has used product for: 6-12 Months
    Uses the product: Weekly
    Org Size (# of Employees): 100 - 499
    Feature Set
    Layout
    Ease Of Use
    Cost
    Would you 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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