ShrinkIt vs JASP
Side-by-side comparison for macOS
ShrinkIt
6.0JASP
7.0Statistical analysis application
| Metric | ShrinkIt | JASP |
|---|---|---|
| Category | Science | Science |
| AI Score | 6.0 | 7.0 |
| 30-day Installs | - | 32 |
| 90-day Installs | - | 79 |
| 365-day Installs | 20 | 335 |
| Version | 1.3.2 | 0.96.0.0 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 4 | 936 |
| GitHub Forks | 2 | 230 |
| Open Issues | - | 20 |
| License | — | AGPL-3.0 |
| Language | Matlab | C++ |
| Last GitHub Commit | 9y ago | 1mo ago |
| First Seen | May 22, 2015 | Jul 18, 2016 |
Reviews
ShrinkIt
ShrinkIt is a specialized MATLAB toolbox designed for empirical Bayes shrinkage on resting-state fMRI connectivity matrices, aiding in subject-level parcellation. It is particularly beneficial for researchers in neuroimaging and neuroscience, offering a niche tool for optimizing functional brain mapping.
ShrinkIt performs empirical Bayes shrinkage on rs-fMRI connectivity matrices to improve subject-level parcellation in neuroimaging research.
Pros
- + Specialized tool for neuroimaging research
- + Employs robust empirical Bayes methodology
- + Integrated with MATLAB, a preferred tool in research
Cons
- - Low project activity and maintenance
- - Potential compatibility issues with newer systems
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