TinyPNG4Mac vs ImageOptim
Side-by-side comparison for macOS
TinyPNG4Mac
7.5TinyPNG client
ImageOptim
7.5Tool to optimise images to a smaller size
| Metric | TinyPNG4Mac | ImageOptim |
|---|---|---|
| Category | Media & Design | Media & Design |
| AI Score | 7.5 | 7.5 |
| 30-day Installs | 12 | 628 |
| 90-day Installs | 20 | 1.9K |
| 365-day Installs | 189 | 7.7K |
| Version | 2.2.1,20201 | 1.9.3 |
| Auto-updates | No | Yes |
| Deprecated | Yes | No |
| GitHub Stars | 4.0K | 9.7K |
| GitHub Forks | 290 | 458 |
| Open Issues | 15 | 195 |
| License | MIT | GPL-2.0 |
| Language | Swift | HTML |
| Last GitHub Commit | 5mo ago | 2y ago |
| First Seen | Oct 20, 2019 | Aug 9, 2023 |
Reviews
TinyPNG4Mac
TinyPNG4Mac is a native macOS client for TinyPNG, offering a seamless way to compress PNG and JPEG images without losing quality. Key features include drag-and-drop functionality, batch processing, and integration with macOS workflows. It benefits designers and anyone needing efficient image optimization.
Compresses PNG and JPEG images using the TinyPNG API, optimizing them for web use without quality loss.
Pros
- + Native macOS integration provides a smooth user experience.
- + Supports drag-and-drop and batch processing for efficient workflow.
- + Developed in Swift, ensuring modern and maintainable code.
- + Actively maintained with frequent updates and issue resolutions.
Cons
- - No auto-update feature, requiring manual checks for updates.
- - Low installation count suggests limited adoption.
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- - Outdated user interface.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.