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ShrinkIt vs ImageOptim

Side-by-side comparison for macOS

ShrinkIt

6.0
Science

ImageOptim

7.5
Media & Design

Tool to optimise images to a smaller size

Metric ShrinkIt ImageOptim
Category Science Media & Design
AI Score 6.0 7.5
30-day Installs - 622
90-day Installs - 1.9K
365-day Installs 20 7.7K
Version 1.3.2 1.9.3
Auto-updates No Yes
Deprecated Yes No
GitHub Stars 4 9.7K
GitHub Forks 2 458
Open Issues - 195
License GPL-2.0
Language Matlab HTML
Last GitHub Commit 9y ago 2y ago
First Seen May 22, 2015 Aug 9, 2023

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

ImageOptim

ImageOptim is a popular macOS app that optimizes images to reduce file size without compromising quality. It's widely used by web developers and designers to enhance website performance and is known for its effectiveness in cutting image file sizes significantly.

Optimizes images to smaller sizes without losing quality.

Pros

  • + Highly effective in reducing image file sizes without quality loss.
  • + Popular and widely recognized in the developer community.
  • + Open-source with a strong community support.
  • + Good integration with macOS ecosystem.

Cons

  • - Outdated user interface.
  • - Lacks lossy optimization options, which some users desire.