Lidarr vs MusicBrainz Picard
Side-by-side comparison for macOS
Lidarr
7.5Looks and smells like Sonarr but made for music
MusicBrainz Picard
6.5Music tagger
| Metric | Lidarr | MusicBrainz Picard |
|---|---|---|
| Category | Media & Design | Media & Design |
| AI Score | 7.5 | 6.5 |
| 30-day Installs | 30 | 338 |
| 90-day Installs | 93 | 954 |
| 365-day Installs | 372 | 2.9K |
| Version | 3.1.0.4875 | 2.13.3 |
| Auto-updates | Yes | No |
| Deprecated | Yes | No |
| GitHub Stars | 5.1K | 1 |
| GitHub Forks | 349 | - |
| Open Issues | 811 | - |
| License | GPL-3.0 | — |
| Language | C# | Dockerfile |
| Last GitHub Commit | 3mo ago | 5y ago |
| First Seen | May 23, 2018 | Feb 25, 2014 |
Reviews
Lidarr
Lidarr is a music collection manager designed for enthusiasts who want to organize and download their favorite albums and tracks. It offers a user-friendly interface, automatic organization, and integration with various download clients, making it ideal for music lovers and media managers.
Lidarr organizes, downloads, and manages music collections, similar to Sonarr but tailored for music.
Pros
- + User-friendly interface similar to Sonarr
- + Automatic organization of music collections
- + Active and engaged community support
Cons
- - High number of open issues on GitHub
- - Integration challenges with certain download clients
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