starnet++ vs Fiji
Side-by-side comparison for macOS
starnet++
6.0Removes stars from astrophotography images using ML models
Fiji
8.0Open-source image processing package
| Metric | starnet++ | Fiji |
|---|---|---|
| Category | Science | Science |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 12 | 95 |
| 90-day Installs | 24 | 376 |
| 365-day Installs | 94 | 1.1K |
| Version | 2,03,2022 | 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 15, 2023 | Aug 9, 2023 |
Reviews
starnet++
Starnet++ is a macOS app that uses machine learning to remove stars from astrophotography images, offering a unique solution for creating polished celestial visuals. It benefits astrophotographers and astronomy enthusiasts looking to enhance their images.
Removes stars from astrophotography images using machine learning models.
Pros
- + Unique machine learning approach for star removal.
- + Tailored for macOS users interested in astrophotography.
- + Appeals to serious astrophotographers seeking professional results.
Cons
- - Lack of auto-update feature may require manual checks.
- - Limited installs and community traction suggest niche adoption.
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.