starnet2 vs ImageOptim
Side-by-side comparison for macOS
starnet2
7.0Removes stars from astrophotography images using ML models
ImageOptim
7.5Tool to optimise images to a smaller size
| Metric | starnet2 | ImageOptim |
|---|---|---|
| Category | Media & Design | Media & Design |
| AI Score | 7.0 | 7.5 |
| 30-day Installs | 8 | 622 |
| 90-day Installs | 19 | 1.9K |
| 365-day Installs | 77 | 7.7K |
| Version | 02,2023 | 1.9.3 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 9.7K |
| GitHub Forks | — | 458 |
| Open Issues | — | 195 |
| License | — | GPL-2.0 |
| Language | — | HTML |
| Last GitHub Commit | — | 2y ago |
| First Seen | Feb 24, 2024 | Aug 9, 2023 |
Reviews
starnet2
starnet2 is a specialized app for astrophotographers that uses machine learning to remove stars from images, allowing users to focus on nebulas and galaxies. It is designed for those seeking advanced image processing in astrophotography.
Removes stars from astrophotography images using machine learning models.
Pros
- + Specialized for astrophotography, addressing a specific niche need.
- + Uses machine learning for effective and automated star removal.
- + Optimized for macOS, providing a tailored experience.
Cons
- - Lack of auto-updates may indicate limited maintenance.
- - Very niche, with low adoption and community support.
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- - Outdated user interface.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.