Every Tuesday, a fresh fifty-song playlist lands in your own music server, built from what you actually listened to: Explo is a self-hosted discovery engine that turns ListenBrainz recommendations into playlists inside Navidrome, Jellyfin, Plex, and other home music systems. It fetches Weekly Exploration, Weekly Jams, and Daily Jams, then goes and gets the tracks, requesting songs from YouTube or Soulseek or whole albums through Lidarr, tagging downloads with proper metadata on the way in. Custom playlists import from Spotify, Apple Music, and ListenBrainz, so a list a friend made elsewhere becomes local files and a native playlist in your library. The web interface handles setup, schedules, and import history; last week's playlist can be kept for later listening instead of overwritten, and notifications report each run. For people who left streaming behind but miss algorithmic discovery, this closes the loop between a scrobble history and a self-hosted collection that keeps growing on its own. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

To explore years of personal music streaming habits without waiting for an annual year-end summary, Your Spotify continuously tracks your listening history and presents it inside a private analytics dashboard. Music enthusiasts use the interface to inspect daily, weekly, monthly, and custom date-range breakdowns of their most played tracks, top artists, favorite albums, and total listening duration. Listeners who want their complete historical archive from day one can upload official Spotify privacy data exports, including both past-year StreamingHistory JSON files and multi-year Extended Streaming History archives, directly through the settings panel. Friends and family sharing an instance can use the collaborative affinity view to compare overlapping listening habits across multiple accounts in intersection or union mode. From any historical table, top-tracks ranking, or multi-user affinity comparison, you can generate new playlists directly inside your Spotify account or trigger track playback on active devices. Administrators can manage user registrations, generate shareable public guest tokens for read-only dashboard access, blacklist specific artists from skewing statistics, and expose ingestion metrics to Prometheus. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Discover, preview, and curate your personal music collection with Aurral, a self-hosted music discovery and library management server that turns listening history into automated playlists and album acquisitions. Connect your Last.fm, ListenBrainz, or Koito scrobble history to surface tailored artist recommendations, genre trends, upcoming releases, artist news, and nearby concert dates. Build scheduled rotating discovery flows that refresh automatically on your chosen cadence, or import existing playlists directly from Spotify, YouTube Music, Last.fm, and ListenBrainz. Preview tracks instantly in the browser before committing them to your permanent collection. Manage downloads through a built-in yt-dlp engine or route requests to slskd, SABnzbd, NZBGet, Prowlarr, deemix, and Lidarr with full queue, history, and upgrade controls. Stream your indexed library from the web player, connect Subsonic and OpenSubsonic apps such as Feishin or Music Assistant, and publish generated playlists straight to Navidrome, Plex, Plexamp, and Jellyfin. Multi-user profiles support granular permissions, custom discovery layouts, and single sign-on via OpenID Connect, Plex, Google, or reverse-proxy headers. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Listening to music across Spotify on your commute, Jellyfin at your desk, and Sonos in the living room usually leaves your play history fragmented across walled gardens, which is why multi-scrobbler unifies over 30 music sources and routes every track to your chosen scrobble backends automatically. Instead of relying on brittle browser plugins per device, you configure active polling or ingress webhooks once for sources including Plex, Navidrome, Subsonic, Apple Music, Deezer, YouTube Music, MPD, VLC, Chromecast, and Music Assistant. Every detected play passes through an intelligent pipeline that verifies listen duration thresholds, cleans messy track titles or featured artist tags using regex rules, and enriches missing metadata against the MusicBrainz, Spotify, or Rocksky catalogs. Before forwarding a play to Last.fm, ListenBrainz, Libre.fm, Maloja, Koito, teal.fm, Discord Now Playing, or Tuneshine, the engine checks temporal and title similarity scores to block duplicate scrobbles. When a downstream service goes offline, failed scrobbles enter a persistent retry queue so you never lose listening history, while Gotify, Ntfy, and Apprise webhooks alert you to source issues. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

AudioMuse-AI transforms your self-hosted music collection into an intelligent sonic discovery universe that generates groove-aware playlists without relying on tag metadata or external streaming APIs. The platform scans audio files directly to extract acoustic properties, rhythmic cadence, harmonic density, and lyrical themes across seventy-two supported languages. Listeners can explore their library through a dynamic two-dimensional interactive music map, discover hidden sonic connections between distant genres, or chart smooth transitional song paths between two completely different tracks. Custom prompt-based querying lets users request niche vibes like late-night lo-fi piano, while automated clustering groups acoustically similar tracks into fresh, genre-defying collections. With Song Alchemy, curators fine-tune playlist moods by interactively adding or subtracting acoustic traits before exporting clean tracklists back to Navidrome, Jellyfin, LMS, Lyrion, Emby, or Plex. A built-in acoustic fingerprinting engine even identifies mystery tracks from twenty-second audio snippets, deduplicating songs across multi-server topologies so every file is processed only once. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Maloja's one job is to be your own scrobble database, charting what you listen to from a server you control. Players and media servers that speak the native JSON API or a ListenBrainz, GNU FM, or Audioscrobbler 1.2 compatible protocol can scrobble with their own API keys. Vinyl sessions and background music can be logged by hand on a manual scrobble page. Existing history moves in from a Last.fm export, a Spotify data export, a ListenBrainz export, or another Maloja instance, while a proxy option forwards new scrobbles to Last.fm or a second Maloja server. The start page ranks top artists, tracks, and albums for today, this week, this month, this year, or all time, alongside a pulse chart of listening volume and a feed of the latest scrobbles. Artist and album pages add performance charts that follow chart position over time. Collaborations credit every artist on a track, and subunits, solo projects, and main acts can be combined or separated in charts at any time. Gold, Platinum, and Diamond awards mark tracks and albums that pass scrobble thresholds you set. Artwork can come from Last.fm, Spotify, Deezer, TheAudioDB, or MusicBrainz lookups, or from images you upload yourself. Week start, timezone, theme, and tile layout are all settings, and an API explorer lists endpoints for scripts. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.