ShrinkIt vs Gephi
Side-by-side comparison for macOS
ShrinkIt
6.0Gephi
7.0Open-source platform for visualizing and manipulating large graphs
| Metric | ShrinkIt | Gephi |
|---|---|---|
| Category | Science | Science |
| AI Score | 6.0 | 7.0 |
| 30-day Installs | - | 110 |
| 90-day Installs | - | 275 |
| 365-day Installs | 20 | 896 |
| Version | 1.3.2 | 0.10.1 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 4 | 6.4K |
| GitHub Forks | 2 | 1.6K |
| Open Issues | - | 517 |
| License | — | GPL-3.0 |
| Language | Matlab | Java |
| Last GitHub Commit | 9y ago | 1mo ago |
| First Seen | May 22, 2015 | Nov 12, 2012 |
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
Gephi
Gephi is a unique open-source platform for visualizing and manipulating large graphs, offering extensive features for network analysis. It benefits researchers, data analysts, and anyone working with complex network data.
Visualizes and manipulates large graphs for network analysis.
Pros
- + Open-source and free to use.
- + Extensive features for graph analysis and visualization.
- + Cross-platform support.
Cons
- - Compatibility issues on MacOS.
- - Requires Java 8 or higher.