Nightshade vs Shottr
Side-by-side comparison for macOS
Nightshade
6.0Tool that makes images unsuitable for AI model training
Shottr
8.0Screenshot measurement and annotation tool
| Metric | Nightshade | Shottr |
|---|---|---|
| Category | Security & Privacy | Media & Design |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 8 | 2.8K |
| 90-day Installs | 13 | 7.3K |
| 365-day Installs | 46 | 21.1K |
| Version | 1.1 | 1.9.1 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 125 | 21 |
| GitHub Forks | 31 | - |
| Open Issues | 7 | 1 |
| License | — | GPL-3.0 |
| Language | JavaScript | — |
| Last GitHub Commit | 9y ago | 1y ago |
| First Seen | Jan 20, 2024 | Aug 9, 2023 |
Reviews
Nightshade
Nightshade is a unique tool designed to help artists protect their work by making images unsuitable for AI model training. It allows users to modify images in ways that can disrupt AI training processes, ensuring their creative content isn't misused. Ideal for artists and creators looking to safeguard their work from AI scraping.
Modifies images to make them unsuitable for AI model training.
Pros
- + Free tool for artists to protect their work
- + Addresses a critical issue of AI scraping in the creative community
- + Cross-platform support
Cons
- - Inactive development with no recent updates
- - Unclear licensing terms
Shottr
Shottr is a screenshot measurement and annotation tool designed for precision and ease of use. It offers features like pixel-perfect measurements, customizable annotations, and integration with Alfred for workflow efficiency. Ideal for designers, developers, and anyone needing detailed screenshot analysis.
Shottr allows users to take screenshots, measure pixel distances, and annotate images with precision.
Pros
- + Integration with Alfred for efficient workflow
- + Active development and regular updates
- + Precise measurement and annotation features
- + User-friendly interface for screenshot management
Cons
- - Limited community discussion outside of Hacker News
- - Niche appeal may limit broad adoption