Your next favorite record is hiding in your listening history, and Digarr is the self-hosted discovery engine that finds it, scores it, and queues it for your library. Connect ListenBrainz, Last.fm, Spotify, Deezer, Discogs, or your Plex, Jellyfin, Emby, or Subsonic server, and Digarr builds a taste profile from what you actually play. An AI provider you choose, from Anthropic, OpenAI, and Gemini to a local Ollama model, proposes candidates, and a weighted scoring system ranks them by consensus, similarity, genre overlap, and your past feedback. Every suggestion lands in a review queue where you can preview tracks, approve, reject, or permanently block artists before anything touches your collection. Approve an artist and Digarr adds them to Lidarr with your quality profile, queues the release in slskd, or exports a playlist to Spotify, Navidrome, Jellyfin, Emby, or Plex. Album-level discovery runs on its own: Release Radar catches new releases from artists you follow, Library Gap-Fill surfaces the studio albums you are missing, and scheduled subscriptions keep fresh candidates flowing in without you lifting a finger. Share the instance with family or friends, each with their own queue and connections, protected by local accounts or OIDC single sign-on, and get notified through webhooks, ntfy, Telegram, or Apprise when new picks arrive. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Self-hosted music requests, no Lidarr install needed: DroppedNeedle searches MusicBrainz, drives your own slskd or Usenet setup, and files only verified, tagged tracks in your library. Request a whole album or a single track, then retry or cancel from a dedicated requests page. The engine queries slskd, or SABnzbd with Newznab indexers or Prowlarr, and scores every candidate before anything downloads. Files must pass checks for readable tags, a sane duration, and an optional AcoustID fingerprint match. Close calls park for admin review. Failed requests are searched again until a verified copy arrives. Quality floors per format and storage caps keep the library tidy, and better copies replace old ones. The built-in player queues Jellyfin, Navidrome, Plex, local files, and YouTube previews with shuffle, a 10-band equalizer, and embedded lyrics. Prefer your own app? Symfonium, Finamp, Feishin, and other Subsonic or Jellyfin clients connect with revocable app passwords. Discovery rows draw on ListenBrainz and Last.fm history and global charts, and a weekly mix can queue up to five missing albums. Follow artists for new-release alerts, or add Ticketmaster or Skiddle keys for gig listings in cities you choose. Import Spotify playlists, or drag in a zip of music you bought. Admin, Trusted, and User roles decide whether a request starts at once or waits for approval. 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.

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.

Instead of manually hunting for what to watch next after finishing a series on Plex, Jellyfin, or Emby, let SuggestArr turn your household's recent viewing history into automated media discovery and download requests. The platform analyzes recently watched movies, shows, and anime, queries TMDb or any OpenAI-compatible LLM (including Ollama, OpenRouter, and LiteLLM) for tailored recommendations with plain-language explanations, and dispatches requests straight to Seer, Jellyseerr, or Overseerr. Built-in AI Search lets users describe a mood or plot in natural language and request matching titles in a single click. Administrators can schedule recurring discovery jobs, import public watchlists from Trakt and MDBList, and enforce granular filters for minimum ratings, release years, genres, and regional streaming service availability so you never download content you already pay to stream. Smart request controls pause jobs when Seer queues are full, require optional human approval before submission, auto-decline stale requests, and clean up unwatched suggestions automatically. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Spotify economics without the subscription or catalog gaps: Navidrome, the reference self-hosted music server, streams your own FLAC, MP3, and ALAC collection from a single Go binary with a React/Material UI web player. Its Subsonic/OpenSubsonic API compatibility is the superpower: 50+ existing clients work out of the box, from Symfonium and DSub on Android to Feishin and Sonixd on desktop, plus Android Auto, CarPlay, and Android TV apps. Transcoding is server-managed and FFmpeg-backed - FLAC direct-plays at home and downsamples to MP3, AAC, or Opus over mobile bandwidth, with the OpenSubsonic transcoding extension letting clients declare capabilities and receive per-track direct-play or transcode decisions automatically. Multi-user support gives every account its own play counts, favorites, ratings, and playlists, and multi-library support scopes different collections to different users. The feature list covers serious listening: Last.fm and ListenBrainz scrobbling, artist bios and images, embedded and external lyrics, audiobook bookmarks, saved play queues that resume on another device, internet radio, jukebox mode, and M3U playlist auto-import kept in sync with your folder. Resource usage is famously low - it runs happily on a Raspberry Pi and scales to six-figure track counts.

LMS is a self-hosted music server that streams your own library to any web browser or Subsonic-compatible player. Point it at a folder of tagged files and it builds a library that understands multi-valued genres and moods, composer, conductor, and producer credits, release types, and release groups that keep remasters beside the original. MusicBrainz identifiers settle duplicate artist and album names, and an artist information folder in Kodi NFO format adds biographies and portraits. Browse with filters like Electronic plus Relaxed, then switch on radio mode and the queue refills itself with similar tracks, chosen by audio similarity or by tags. Plays can be scrobbled to ListenBrainz and Last.fm, and loved tracks synchronize with ListenBrainz. Phone apps connect through the Subsonic and OpenSubsonic API with a personal API key, and transcoding trims bandwidth on slow connections. ReplayGain evens out loudness, podcasts and lyrics sit in the same interface, and an admin-only jukebox mode plays through the server's own audio output. Several libraries can live side by side, a .lmsignore file keeps unwanted folders out of scans, and logins can use the internal user database, PAM, or reverse-proxy SSO headers. 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.

Swing Music transforms your personal audio collection into a private streaming platform with a responsive interface modeled after modern on-demand music apps. The server scans local directories, normalizes messy metadata tags, and categorizes tracks by version labels such as Deluxe, Remaster, or Live editions. Listeners can explore automated Daily Mixes compiled from real listening activity, browse folder hierarchies directly, or curate custom collections across related artists and releases. Audio playback combines intelligent silence detection with configurable cross-fade transitions to deliver seamless, uninterrupted listening across web browsers and mobile devices. Integrated Last.fm scrobbling keeps external listening statistics updated in real time, while personal playback history powers internal analytics and favorites. Multi-user account support enables family members to preserve separate playlists, favorites, and mix recommendations on a shared audio library. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GNU AGPLv3 licensed.

A streaming-style music player for your own Navidrome, Jellyfin, or OpenSubsonic server, on the desktop or in a browser. Home leads with a featured carousel, genre shortcuts, most played, and newly added releases. Browse by album, artist, genre, folder, or radio station. Queue, lyrics, and visualizer panels can each sit in the player sidebar. Japanese lyrics can show furigana and romaji. Star ratings, favorite hearts, and scrobbling to your server come built in. Shape the sound with a parametric equalizer, a compressor, ReplayGain, and optional transcoding. Auto DJ tops up a dwindling queue with songs or whole albums. Navidrome smart playlists get a visual rule editor with match-all or match-any groups. Choose from 32 built-in themes and 39 interface languages. The catch: Feishin is only the player, so the music server stays separate. In a browser it plays through the web player backend, while the desktop app adds MPV and built-in lyrics fetching. Docker environment variables can preset and lock the server, so guests only type a username and password. 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.

When a music library is full of wrong tags, missing covers, and blank ratings, Tagr lets you fix the whole collection from any browser, on desktop or phone. Three roles divide the work on your own server. Admins mount a music folder, press scan, and get a searchable table of every track, with sortable and filterable columns, more than 40 editable fields, and room for custom tags. Taggers make the changes: edit fields inline, swap album art, and match one song or a whole selection against MusicBrainz, ticking which fields to overwrite. Mistakes are cheap, because every edit is stored in a persistent change history with a revert action, viewable per song or per folder. Rule-based smart playlists, such as every track with an empty comment, show what still needs attention. Listeners browse and play without edit rights, using the waveform player, a Recently played view, and optional ListenBrainz scrobbling that each person connects to their own account. Supported formats include MP3, FLAC, WAV, AAC, OGG, M4A, M4B, WMA, AIFF, and Opus, with changes written straight back into the files. Swipe-friendly panels, an installable PWA, and five interface languages make the phone a comfortable place to work. 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.

Metadata Remote is a browser-based audio tag editor designed specifically for headless music servers, enabling collectors to fix ID3 tags, embed high-resolution cover art, and match releases against MusicBrainz without moving files off their NAS. Navidrome, Jellyfin, and Plex administrators can browse mounted directories directly from any browser, inspect standard and extended metadata fields, and apply single-file or bulk folder-wide updates in one click. Clicking an empty or incomplete field activates the smart inference engine, which analyzes filenames, directory hierarchy, and sibling tracks alongside live MusicBrainz queries to present candidate values ranked by confidence percentage, including specialized matching rules for classical works, multi-artist compilations, and live bootlegs. Built-in audio streaming lets you audition MP3, FLAC, OGG, OPUS, M4A, M4B, WMA, WAV, and WavPack files inside the interface to verify mysterious tracks before renaming files or folders inline. A dedicated long-form text editor automatically opens for lyrics and liner notes exceeding 100 characters, while the album art manager previews image dimensions, bulk-embeds covers across entire albums, and repairs corrupted artwork headers automatically. Every single-track edit, custom field creation, and batch folder operation is tracked in a 1,000-step undo and redo history with full keyboard-only navigation. 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.

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.

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.

Configure each indexer once, not five times: Prowlarr is the indexer hub of the *arr stack, removing the most tedious duplication in a media automation setup. Instead of configuring the same torrent trackers and Usenet indexers separately in Sonarr, Radarr, Lidarr, Readarr, and Mylar3, you add each one once in Prowlarr and it syncs them to every connected app automatically, complete with category mappings; with Full Sync enabled, adding or removing an indexer propagates everywhere, and a tracker URL change is a one-place fix. Coverage is the deepest available: 500+ torrent trackers with definitions added constantly, 24 native Usenet indexers, generic Newznab and Torznab support for anything else, and custom Cardigann YML definitions with JSON and XML parsing for obscure sources. Built on the same .NET/React base as its siblings, it also earns a place as a search tool in its own right: unified manual search queries every indexer simultaneously at a category level, and you can push multiple releases straight to your download clients without touching Sonarr or Radarr. Health checks and status notifications flag failing indexers, per-indexer statistics track success rates and response times so you can cull unreliable sources, and per-indexer proxy support (SOCKS4/5, HTTP, FlareSolverr) handles trackers behind Cloudflare.