Lidify

Lidify is a music discovery tool that generates artist recommendations from a Lidarr-managed collection. It queries external music metadata services and can add recommended artists back into Lidarr, running as a self-hosted web application.

Key Features

• Generates artist recommendations based on selected artists tracked in Lidarr
• Integrates with Last.fm for discovery (Last.fm is the primary supported data source)
• Can add recommended artists to Lidarr via the Lidarr API with configurable search and quality settings
• Distributed as a Docker image and configurable via environment variables
• Configurable options include API keys, Lidarr address and API key, quality/metadata profiles, auto-start and dry-run modes
• Simple web UI for selecting artists, reviewing recommendations, and managing integration behavior

Use Cases

• Expand a Lidarr-managed music library by discovering similar artists to add automatically
• Seed a new music collection based on existing favorite artists tracked in Lidarr
• Curate and validate recommended artists before importing into a Lidarr workflow

Limitations and Considerations

• Spotify integration is no longer supported due to API changes; Last.fm is the supported discovery provider
• Requires valid Last.fm API credentials and a reachable Lidarr instance with an API key
• Matching accuracy depends on external metadata quality and may require manual review for ambiguous artist results

Lidify is a lightweight tool for automating music discovery around a Lidarr installation, focusing on Last.fm-based recommendations and easy Docker-based deployment.