jamovi vs RStudio
Side-by-side comparison for macOS
jamovi
7.0Statistical software
RStudio
8.0Data science software focusing on R and Python
| Metric | jamovi | RStudio |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 31 | 1.2K |
| 90-day Installs | 97 | 3.3K |
| 365-day Installs | 383 | 13.5K |
| Version | 2.7.28.0 | 2026.04.0,526 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 695 | 5.0K |
| GitHub Forks | 75 | 1.2K |
| Open Issues | 357 | 1.4K |
| License | NOASSERTION | NOASSERTION |
| Language | TypeScript | Java |
| Last GitHub Commit | 1mo ago | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2023 |
Reviews
jamovi
Jamovi is a user-friendly statistical software designed to bridge the gap between researchers and statisticians. It offers a modern interface for statistical analysis, integrates with R, and is open-source, making it accessible and extensible for data professionals.
Jamovi provides tools for statistical analysis, modeling, and visualization, catering to researchers and statisticians.
Pros
- + User-friendly interface for statistical analysis
- + Open-source and extensible with R integration
- + Free and accessible for researchers and statisticians
Cons
- - High number of open issues may indicate stability concerns
- - Some users report difficulty connecting RJEditor with system R
RStudio
RStudio is a powerful integrated development environment (IDE) for data science, focusing on R and Python. It offers a comprehensive platform for coding, data analysis, and visualization, making it ideal for data scientists, statisticians, and developers working with these languages.
RStudio provides an integrated environment for coding, data analysis, and visualization, supporting R and Python.
Pros
- + Powerful IDE for R and Python
- + Strong support for data science tools
- + Active and large community
Cons
- - No auto-updates feature
- - Some reported bugs and feature requests