Posit Team
Reviews
Star rating
Rank in Statistical Analysis
Pros and cons
Pros
- Ease of Use
- Features
- Open Source
- Useful
- User Interface
- Flexibility
Cons
- Slow Performance
- Learning Curve
- Performance Issues
- Steep Learning Curve
- Lagging Performance
- Poor UI Design
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 25.0% |
| Mid-Market | 26.2% |
| Enterprise | 48.8% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 1 | 5.0 |
| 2025 Q1 | 1 | 5.0 |
| 2025 Q2 | 5 | 4.9 |
| 2025 Q3 | 1 | 4.5 |
| 2025 Q4 | 2 | 5.0 |
| 2026 Q1 | 7 | 4.7 |
| 2026 Q2 | 4 | 4.5 |
| 2026 Q3 | 3 | 4.8 |
Satisfaction ratings
What reviewers say
Posit Stays Ahead with AI Innovation and Truly Responsive Support
“Posit has delivered an impressive range of technology-driven solutions! Rather than simply catching waves, they stay ahead of the curve with AI and other innovations. Both the vendor and our primary contact have been outstanding partners to my team—always providing prompt respons”
Exceptional Open-Source Data Science Tools with Great Documentation and R/Python Support
“I love that they create tons of open source software for data science. The software packages are well-designed to work together as a whole with a shared philosophy, have excellent documentation, and have both R and Python support. I also think that the Posit Team has one of the m”
Posit Team Makes Biostatistical Work Reproducible, Collaborative, and Secure
“What I find most helpful about Posit Team is that it makes biostatistical work more reproducible, collaborative, and secure. It allows teams to develop, share, and deploy R and Python analyses in one reliable environment, which is especially valuable for clinical, regulatory, and”