JASP vs jamovi
Side-by-side comparison for macOS
JASP
7.0Statistical analysis application
jamovi
7.0Statistical software
| Metric | JASP | jamovi |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.0 | 7.0 |
| 30-day Installs | 32 | 31 |
| 90-day Installs | 79 | 97 |
| 365-day Installs | 335 | 383 |
| Version | 0.96.0.0 | 2.7.28.0 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 936 | 695 |
| GitHub Forks | 230 | 75 |
| Open Issues | 20 | 357 |
| License | AGPL-3.0 | NOASSERTION |
| Language | C++ | TypeScript |
| Last GitHub Commit | 1mo ago | 1mo ago |
| First Seen | Jul 18, 2016 | Aug 9, 2023 |
Reviews
JASP
JASP is a statistical analysis application that offers both Bayesian and Frequentist methods, making it a versatile tool for researchers and statisticians. It is designed to be user-friendly, particularly for those familiar with SPSS.
JASP performs statistical analysis using both Bayesian and Frequentist methods.
Pros
- + Supports both Bayesian and Frequentist statistical methods
- + User-friendly interface for SPSS users
- + Actively maintained with recent updates
Cons
- - No auto-update feature
- - Limited community discussion and engagement
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