starnet2 vs Fiji
Side-by-side comparison for macOS
starnet2
7.0Removes stars from astrophotography images using ML models
Fiji
8.0Open-source image processing package
| Metric | starnet2 | Fiji |
|---|---|---|
| Category | Media & Design | Science |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 8 | 95 |
| 90-day Installs | 19 | 376 |
| 365-day Installs | 77 | 1.1K |
| Version | 02,2023 | 20260423-0417 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 936 |
| GitHub Forks | — | 253 |
| Open Issues | — | 133 |
| License | — | GPL-3.0 |
| Language | — | Shell |
| Last GitHub Commit | — | 4mo 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.
Fiji
Fiji is a comprehensive open-source image processing tool designed for scientific image analysis, particularly in microscopy and bioimage processing. It offers a wide range of features and plugins, making it an essential tool for researchers and scientists in various fields.
Fiji is an advanced image processing application used for scientific image analysis, microscopy, and bioimage processing.
Pros
- + Open-source and highly customizable with a wide range of plugins.
- + Comprehensive set of tools for scientific image analysis.
- + Active development and strong community support.
Cons
- - Steep learning curve for non-experts.
- - Historically, there have been platform-specific issues, though these are typically resolved promptly.