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.

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.

Gorse generates personalized recommendations from your application's user interaction data through automatically trained models, requiring no machine learning expertise to deploy or operate. Over 10,000 GitHub stars and production deployments processing millions of interactions validate a multi-source architecture that merges candidates from latest-item, user-to-user, item-to-item, and collaborative filtering recommenders, then ranks them using factorization machines or LLM-based rerankers with configurable query and document templates. Multimodal content support processes text, images, and video metadata via embedding vectors stored in BF16 format, with optional Qdrant, Weaviate, or Milvus integration for distributed similarity search. The visual RecFlow editor provides a drag-and-drop interface for designing recommendation pipelines, connecting data sources to recommenders and rankers without writing configuration files. A distributed cluster separates concerns across master nodes for model training and dashboard hosting, worker nodes for offline recommendation generation, and server nodes for real-time API endpoints, all scaling horizontally behind load balancers. Online evaluation analyzes recommendation quality from recent user feedback with configurable cache sizes and expiration intervals. RESTful APIs expose CRUD endpoints for users, items, and feedback alongside recommendation retrieval with category filters and API key authentication. Stores data in MySQL, PostgreSQL, MongoDB, or ClickHouse with Redis caching. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 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.

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.

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.

Whether your personal audio library spans ten thousand lossless FLAC albums or a sprawling hierarchy of studio recordings, Polaris streams your entire music collection to any browser or mobile device with instant responsiveness. You can browse cataloged tracks by album, artist, genre, or raw directory tree without waiting for sluggish page loads. Multi-value metadata indexing cleanly separates collaborations across artists, composers, record labels, and lyricists. A structured query bar filters songs using per-field search operators and boolean combinators. During playback, real-time audio waveform visualizations render signal peaks directly inside the scrubbing bar. Lossless and compressed formats play seamlessly, covering FLAC, MP3, MP4, M4B, Ogg Vorbis, Opus, Musepack, APE, WAV, and AIFF files. Each household listener gets an isolated account with private playlists, dark mode themes, and customizable color palettes. Administrators can edit mount points, user credentials, and dynamic DNS hooks either through the web settings panel or a plain-text configuration file. Mobile listeners can also connect from dedicated Android and iOS companion apps on the go. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.

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.

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.

Across peer-to-peer music and file-sharing communities, slskd brings the Soulseek network into any modern web browser through a self-hosted client-server daemon that runs continuously without a desktop GUI. Users can run multiple concurrent network searches, filter results by audio bitrate, file extension, free upload slots, or transfer speed, and queue entire album folders for download in two clicks. The real-time transfer monitor groups active downloads and uploads by peer and directory, allowing you to inspect your live queue position, retry stalled files, or clear completed batches at a glance. For library contributors, the share manager indexes local directories with custom regex exclusion rules and configurable user groups that enforce per-group upload slot allocations, bandwidth caps, and automated leecher blacklists. Built-in social tools let you browse remote user directory trees, auto-join public Soulseek chat rooms on startup, and exchange private messages directly inside the web interface. Multi-server operators can even link a central controller to remote relay agents to distribute file sharing and search workloads across separate machines. When transfers finish or system state changes, event-driven integrations can fire custom HTTP webhooks, execute post-processing shell scripts, upload files via FTP, or expose Prometheus metrics and CIDR-restricted REST API endpoints for external media managers. 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.