hydrus network vs MusicBrainz Picard
Side-by-side comparison for macOS
hydrus network
7.0Booru-style media tagger
MusicBrainz Picard
6.5Music tagger
| Metric | hydrus network | MusicBrainz Picard |
|---|---|---|
| Category | Media & Design | Media & Design |
| AI Score | 7.0 | 6.5 |
| 30-day Installs | 2 | 340 |
| 90-day Installs | 6 | 946 |
| 365-day Installs | 46 | 2.9K |
| Version | 636 | 2.13.3 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 3.0K | 1 |
| GitHub Forks | 191 | - |
| Open Issues | 777 | - |
| License | NOASSERTION | — |
| Language | Python | Dockerfile |
| Last GitHub Commit | 2mo ago | 5y ago |
| First Seen | Aug 9, 2023 | Feb 25, 2014 |
Reviews
hydrus network
Hydrus Network is a powerful, customizable media tagging tool that allows users to organize and share content via user-run servers. It supports importing from various sources, making it ideal for those seeking a flexible, privacy-focused media management solution.
Hydrus Network organizes and tags media files, importing from multiple sources and enabling sharing through user-run servers.
Pros
- + Highly customizable and flexible media tagging capabilities
- + Supports importing media from various sources
- + Actively maintained with regular updates and issue resolution
Cons
- - Lack of auto-update functionality
- - High number of open issues may indicate pending bugs or feature requests
- - Limited community engagement and discussion
MusicBrainz Picard
MusicBrainz Picard is a powerful music tagger that uses acoustic fingerprinting to identify and tag music files. It supports various metadata formats and offers features like auto-tagging and batch processing, making it ideal for users with large music collections.
Automatically identifies and tags music files using acoustic fingerprinting and metadata from the MusicBrainz database.
Pros
- + Advanced features for music tagging and organization
- + Cross-platform support
- + Open-source
Cons
- - No auto-updates and limited recent development
- - Web-based interface may not be ideal for all users