PHD2 vs starnet2
Side-by-side comparison for macOS
PHD2
7.0Telescope guiding software
starnet2
7.0Removes stars from astrophotography images using ML models
| Metric | PHD2 | starnet2 |
|---|---|---|
| Category | Science | Media & Design |
| AI Score | 7.0 | 7.0 |
| 30-day Installs | 4 | 8 |
| 90-day Installs | 7 | 19 |
| 365-day Installs | 27 | 77 |
| Version | 2.6.14 | 02,2023 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 283 | — |
| GitHub Forks | 128 | — |
| Open Issues | 180 | — |
| License | BSD-3-Clause | — |
| Language | C++ | — |
| Last GitHub Commit | 2mo ago | — |
| First Seen | Jan 2, 2015 | Feb 24, 2024 |
Reviews
PHD2
PHD2 is a niche telescope guiding software designed for astrophotography, offering precise control and real-time adjustments for amateur astronomers. It provides essential tools for aligning and guiding telescopes, making it invaluable for those engaged in detailed celestial imaging.
PHD2 guides telescopes to ensure accurate tracking of celestial objects for astrophotography.
Pros
- + Highly specialized for astrophotography needs
- + Open-source with a permissive license
- + Active development and regular updates
Cons
- - Lack of auto-update feature
- - High number of open issues may suggest instability
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.