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Lidify

MITPythonv0.2.10Self-Hosted

Music discovery tool that provides recommendations based on selected Lidarr artists using Last.fm.

GitHubGitHub
563 stars11 forks0 contributors

What is Lidify?

Lidify is a music discovery tool that provides personalized artist recommendations based on your existing Lidarr library. It integrates with Last.fm's API to find similar artists and can automatically add discovered artists to your Lidarr collection. The tool helps music enthusiasts expand their libraries with minimal manual effort.

Target Audience

Users who manage their music collections with Lidarr and want to discover new artists similar to their existing favorites. This includes self-hosted media server enthusiasts and music collectors looking to automate discovery.

Value Proposition

Lidify offers seamless integration with Lidarr, eliminating the need for manual artist lookup and addition. Its automated workflow and configurable settings provide a tailored discovery experience while maintaining compatibility with existing media server setups.

Overview

Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.

Use Cases

Best For

  • Automating music discovery for Lidarr users
  • Finding similar artists based on existing music library
  • Expanding self-hosted music collections with minimal effort
  • Integrating Last.fm recommendations with media server workflows
  • Containerized music discovery applications
  • Users wanting to automate artist additions to Lidarr

Not Ideal For

  • Users who manage music with media servers other than Lidarr, such as Plex or Emby
  • Projects requiring music recommendations from multiple sources beyond Last.fm
  • Teams wanting a hosted, plug-and-play service without self-hosting and Docker setup
  • Applications needing extensive customization or integration with non-music *arr apps like Sonarr

Pros & Cons

Pros

Seamless Lidarr Integration

Directly accesses your Lidarr library to pull artists and can automatically add new ones with configurable settings like quality profiles and search options, streamlining music discovery.

Last.fm-Based Recommendations

Uses Last.fm's well-established API to find artists similar to your favorites, providing personalized and reliable suggestions, as highlighted in the README's focus on Last.fm after Spotify deprecation.

Easy Docker Deployment

Comes with Docker Compose support and comprehensive environment variables, making installation and configuration straightforward for containerized environments, as shown in the provided YAML snippet.

Configurable Automation

Offers settings like dry-run mode, auto-start delays, and fallback options, giving users control over the discovery and addition process without manual intervention.

Cons

Single Recommendation Source

With Spotify support deprecated due to API changes (noted in issue #24), Lidify relies solely on Last.fm, which may not suit users who prefer other music platforms or diversified recommendations.

Docker-Centric Setup

The project is optimized for Docker deployment; non-Docker setups are not well-documented, making it challenging for users who avoid containers or prefer alternative installation methods.

API Dependency Risks

Core functionality depends on Lidarr and Last.fm APIs, so changes or outages in these services could break Lidify without easy workarounds, as seen with the Spotify deprecation.

Frequently Asked Questions

Quick Stats

Stars563
Forks11
Contributors0
Open Issues0
Last commit6 days ago
CreatedSince 2024

Tags

#media-server#music-management#music-discovery#docker#recommendation-engine#self-hosted

Built With

P
Python
D
Docker

Included in

Self Hosted284.1k
Auto-fetched 1 day ago

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