R vs jamovi
Side-by-side comparison for macOS
R
8.0Environment for statistical computing and graphics
jamovi
7.0Statistical software
| Metric | R | jamovi |
|---|---|---|
| Category | Developer Tools | Science |
| AI Score | 8.0 | 7.0 |
| 30-day Installs | 1.1K | 31 |
| 90-day Installs | 3.0K | 97 |
| 365-day Installs | 11.7K | 383 |
| Version | 4.6.0,sonoma | 2.7.28.0 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 695 |
| GitHub Forks | — | 75 |
| Open Issues | — | 357 |
| License | — | NOASSERTION |
| Language | — | TypeScript |
| Last GitHub Commit | — | 1mo ago |
| First Seen | Mar 2, 2019 | Aug 9, 2023 |
Reviews
R
R is a powerful environment for statistical computing and graphics, widely used in academia and data science. It offers extensive packages and tools for data analysis, visualization, and machine learning, making it indispensable for researchers and statisticians.
R provides an environment for statistical analysis, data visualization, and programming.
Pros
- + Extensive statistical and graphical capabilities
- + Large ecosystem of packages and tools
- + Active and supportive community
Cons
- - Steep learning curve for beginners
- - Some enterprise features require additional tools
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