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Excire Foto vs Ente
Side-by-side comparison for macOS
Excire Foto
6.0Photo library manager with object recognition, search, and culling tools
Ente
8.0Desktop client for Ente Photos
| Metric | Excire Foto | Ente |
|---|---|---|
| Category | Media & Design | Media & Design |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 1 | 55 |
| 90-day Installs | 9 | 194 |
| 365-day Installs | 41 | 719 |
| Version | 4.1.5 | 1.7.23 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 158 |
| GitHub Forks | — | 18 |
| Open Issues | — | - |
| License | — | AGPL-3.0 |
| Language | — | — |
| Last GitHub Commit | — | 2mo ago |
| First Seen | Apr 5, 2025 | Jul 11, 2023 |
Reviews
Excire Foto
Excire Foto is a photo library manager that leverages AI for object recognition, enabling efficient search and culling. It's ideal for photographers seeking advanced organization and quick access to their photos.
Excire Foto is a photo library manager that uses AI-powered object recognition to help users organize, search, and cull their photos.
Pros
- + AI-powered search enhances efficiency
- + Non-destructive culling keeps photos hidden but accessible
- + Seamless integration with macOS ecosystem
Cons
- - No auto-updates require manual checks
- - Low install count may indicate limited adoption
Ente
Ente is a privacy-focused, open-source desktop client for photo management, offering local storage and simple organization. It benefits users who prioritize simplicity and control over their photos.
Manages photos locally with features like tagging and organization.
Pros
- + Open-source with AGPL-3.0 license
- + Focus on privacy and local storage
- + Regular updates and active development
Cons
- - Limited community engagement
- - Unclear programming language details