Posit Description

At Posit, we strive to enhance data science by making it more open, user-friendly, accessible, and collaborative for everyone. Our suite of tools empowers individuals, teams, and enterprises to utilize advanced analytics to derive meaningful insights and create a significant impact. From our inception, we have committed to open-source software, such as RStudio IDE, Shiny, and tidyverse, because we firmly believe in democratizing access to data science tools. We offer R and Python-based solutions designed to streamline the analysis process, enabling you to achieve higher-quality results in less time. Our platform facilitates secure sharing of data-science applications across your organization, reinforcing the idea that our code belongs to you. You can build upon it, share it, and use it to enhance the lives of others. By simplifying the processes of uploading, storing, accessing, and distributing your work, we aim to make your experience seamless. We are always excited to learn about the incredible projects being developed using our tools globally, and we cherish the opportunity to share those inspiring stories with the community. Ultimately, our mission is to foster a vibrant ecosystem where data science can flourish for everyone involved.

Pricing

Free Version:
Yes
Free Trial:
Yes

Integrations

Reviews - 1 Verified Review

Total
ease
features
design

Company Details

Company:
Posit
Headquarters:
United States
Website:
posit.co

Media

Posit Screenshot 1
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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

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

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

Data Science Software

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

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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