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starnet2 vs RawTherapee

Side-by-side comparison for macOS

starnet2

7.0
Media & Design

Removes stars from astrophotography images using ML models

RawTherapee

8.0
Media & Design

RAW photo processor

Metric starnet2 RawTherapee
Category Media & Design Media & Design
AI Score 7.0 8.0
30-day Installs 8 227
90-day Installs 19 551
365-day Installs 77 2.4K
Version 02,2023 5.12
Auto-updates No No
Deprecated No No
GitHub Stars 3.8K
GitHub Forks 378
Open Issues 1.0K
License GPL-3.0
Language C++
Last GitHub Commit 1mo ago
First Seen Feb 24, 2024 Nov 25, 2014

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.

RawTherapee

RawTherapee is a powerful, free, and cross-platform RAW image processing application with advanced features for photo editing. It supports a wide range of RAW file formats and offers professional-grade tools for noise reduction, tone mapping, and more. Ideal for photographers and photo enthusiasts who need precise control over their image processing.

Processes RAW image files with advanced photo editing tools.

Pros

  • + Free and open-source software (GPL-3.0 license)
  • + Cross-platform support for Windows, macOS, and Linux
  • + Advanced photo editing features, including noise reduction and wavelet processing
  • + Supports a wide range of RAW file formats
  • + Active community and regular updates

Cons

  • - No automatic updates (requires manual installation)
  • - Steep learning curve for new users