Lidify

Lidify is an open-source web application that provides music recommendations based on artists already present in a Lidarr library. It functions as a discovery tool to expand music collections by identifying similar artists through external API integrations, helping users find new music that aligns with their existing tastes.

The software is deployed as a server application, typically using Docker Compose for containerized installation. It connects to a Lidarr instance via an API key to read existing artist data and then uses the Last.fm API to generate suggestions for new music to add to the library. This process automates the bridge between music discovery services and library management software.

Key features

• Integration with the Last.fm API for artist recommendations
• Connection to Lidarr via API key for library synchronization
• Option to automatically search for missing albums when adding artists
• Dry run mode to preview recommendations without modifying Lidarr
• Configurable quality and metadata profile IDs for new additions
• Custom timeout settings for Lidarr API calls
• Support for custom root folder paths for music storage
• Environment variable configuration for PUID and PGID permissions

The application is designed for users who manage their music libraries using Lidarr and want to automate the discovery of similar artists. It relies on a configuration process where the user provides a Last.fm API key and secret through environment variables or the application interface. The system includes settings to control how artists are added, including a fallback option to use the top result if no exact match is found during the discovery process. Additionally, the software can be configured to run automatically at startup with a specific delay duration to ensure dependencies are available.

Lidify serves as a workflow automation tool for media server enthusiasts focusing on the systematic expansion of music libraries.