stats.fm (formerly Spotistats) represents a specialized analytics platform that extracts and visualizes Spotify listening data with unprecedented depth and customization. The application processes user streaming history to generate comprehensive statistics across tracks, artists, and albums, positioning itself as a year-round alternative to Spotify's annual Wrapped feature. With over 10 million users globally, the platform has established itself as the definitive third-party analytics tool for music enthusiasts seeking deeper insights into their listening habits. The core functionality revolves around historical data importation from Spotify, which users must manually request through Spotify's privacy settings. Once processed, the application provides detailed metrics including total listening time, top artists and tracks across customizable timeframes, and streaming count comparisons. Premium features (stats.fm Plus) unlock additional capabilities including all-time historical rankings, detailed track information, and advanced filtering options. The subscription model offers both monthly and lifetime access tiers, with pricing noted by users as exceptionally reasonable compared to industry standards. User experience centers around a clean, data-forward interface that prioritizes statistical visualization over decorative elements. The navigation system organizes information into logical categories: overview statistics, top tracks, top artists, and recent plays. Real-world usage patterns indicate most users engage with the application for tracking musical trends over time, discovering listening patterns, and comparing current preferences against historical data. The interface successfully balances depth of information with accessibility, though some users report minor navigation learning curves for less technically-inclined individuals. User feedback trends consistently highlight satisfaction with data comprehensiveness while noting specific technical issues. Kyla Smith (July 13, 2025) praised affordability but noted interface issues with date entry keyboards. Multiple users including Rafael Veiga (August 7, 2025) and mustang17gt (August 7, 2025) reported track duplication problems where identical songs appear as separate entries, though the development team has implemented duplicate reporting features. Joseph Jones (August 6, 2025) acknowledged the small development team while affirming overall functionality despite data import complexity for some users. The application demonstrates significant strengths in data depth and customization options unavailable through native Spotify features. Limitations include occasional data synchronization issues, interface quirks in specific functions, and the manual data import process that may challenge less technical users. Ideal use cases include music enthusiasts seeking detailed historical analytics, artists tracking their own music performance, and researchers analyzing listening patterns over extended periods. The platform successfully fills the analytics gap in Spotify's ecosystem despite minor technical imperfections.