Pictaria Server sits beside your Immich instance and makes a photo library of thirty thousand images legible again, surfacing the trips, people, and best shots buried under duplicate bursts and forgotten folders. It starts with Insights: a clickable timeline of your years, detected trips, a people constellation linked by who appears together, place and camera rankings, and records like your busiest day. Click any number and you land on the actual photos, ready to open in Immich, turn into an album, or send onward. Enrich puts an AI to work describing what it sees, writing captions, menu-driven tags, and quality scores for every photo using a local model through Ollama or LM Studio, or a cloud provider with your own key, on a scheduled daily budget. Those tags can sync back into Immich, so searching improves everywhere, not just here. Curate then collapses bursts and near-duplicates into stacks with a suggested keeper, and one keystroke keeps the best and skips the rest. Smart Albums compose rules from people, places, dates, cameras, and tags, preview the result count, and maintain real Immich albums on a schedule. Frame owners get remote control, display metrics, and voice photo questions, while the Activity feed and runtime-editable Settings keep the whole box manageable from the browser. It connects with a limited-permissions API key and cannot delete a single photo. 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.

Plex's own dashboard shows current streams and forgets everything else - which is why every Plex server admin eventually installs Tautulli, the analytics layer. This Python web application (descended from PlexWatch and Headphones) logs complete watch history - what was watched, who watched it, when, where, from which device and IP, and whether it played directly or transcoded - and turns it into clean Highcharts graphs of daily plays, concurrent streams, bandwidth, and platform breakdowns. The home page surfaces top statistics over configurable windows: most-watched content, most active users, stream type ratios. For running a server shared with family and friends, this is operational truth: spot the user forcing 4K transcodes on a phone, see which libraries earn their disk space, and track sync activity across users. The notification engine triggers on server events - playback starts, transcode decision changes, recently added media, server down - through dozens of agents (Discord, Telegram, Slack, email, webhooks) with fully customizable text and conditions, plus arbitrary script execution. Scheduled newsletters email your users a styled digest of recently added content. A comprehensive API exposes every statistic for dashboards like Homarr, and an official mobile app monitors activity on the go. Themed to match Plex/Web. GPL-licensed.

Jellystat is a self-hosted media analytics and live session monitoring dashboard for Jellyfin and Emby servers that turns raw streaming activity into detailed user, library, and playback insights. Media server administrators use the live dashboard to watch active streams in real time, inspecting transcoding status, client devices, bitrates, and playback progress as sessions happen. Every completed or partial stream is logged automatically so you can browse chronological watch histories, filter by library or stream type, and analyze peak concurrent streaming hours across the week. Dedicated library and user views break down total watch duration, play counts, and most popular movies, episodes, or music albums per account. If you already use the official Jellyfin Playback Reporting or Statistics plugins, you can import existing historical records directly into your instance without losing past data. Built-in database backup and restore tools, automatic library synchronization tasks, IP geolocation via MaxMind GeoLite, and interactive Swagger API documentation at the /swagger endpoint round out the administrative toolkit. 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 uncover deep viewing insights and AI-powered content recommendations across your self-hosted Jellyfin media server, Streamystats delivers a comprehensive analytics and watch-history platform. Once connected to one or more Jellyfin instances using native MediaBrowser authentication, the dashboard tracks live playback sessions, per-user watch durations, device and client breakdowns, and library-wide growth metrics without requiring third-party reporting plugins. You can import existing historical logs from Jellystat or the Playback Reporting plugin so years of viewing habits carry over immediately, then explore interactive watch-time graphs, genre radar charts, actor and director leaderboards, and a yearly Wrapped summary. When you enable vector embeddings through OpenAI, OpenRouter, Google Gemini, Voyage AI, or a local Ollama model, the recommendation engine calculates cosine similarity against your watch history and explains exactly which watched movies or series inspired each suggestion. An integrated AI chat assistant equipped with thirteen specialized function-calling tools lets you search your catalog semantically, ask natural-language questions about your viewing statistics, and generate shared movie recommendations for multiple household members at once. Administrators can also mark titles as watched or unwatched with automatic watch-time inference, manage watchlists over an external API, and connect Janitorr for automated media cleanup. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 8,000 GitHub stars and continuous development since 2020, LibrePhotos delivers the core intelligence of Google Photos — face recognition, object detection, semantic search, and automatic album generation — entirely on your own hardware without sending a single photo to a third-party server. The Django 5 backend processes uploaded media through a machine learning pipeline that runs face detection via the face_recognition library, clusters identified faces using scikit-learn and HDBSCAN, generates image captions through BLIP and Moondream 2, and classifies scenes using Places365 or Google's SigLIP 2 vision-language model with zero-shot classification against 900+ real-world tags. Semantic search lets you find photos by natural language queries like "sunset at the beach" without manual tagging, while metadata search filters by person, camera, lens, file type, and filesystem path. The React 18 frontend built with Vite presents a timeline view, fullscreen lightbox with slideshow mode, photo detail sidebar showing location and people, and a folder navigation view with breadcrumb paths. RAW files from any camera are converted via ImageMagick, videos processed through FFmpeg, and Live Photos paired with their RAW+JPEG counterparts as unified entries. Public album sharing via link provides fine-grained privacy controls, and duplicate detection uses perceptual hashing to identify near-identical images. Deployment runs as a single unified Docker container or via Docker Compose with Kubernetes manifests also available. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Damselfly puts a searchable brain over a folder-based photo archive, so a library of hundreds of thousands of images stays browsable from any browser. Point it at your existing folders and it indexes everything in the background, generating thumbnails and reading IPTC keywords, EXIF camera data, and file names into one catalogue. Search returns results in under a second even across 500,000 photographs, and advanced filters narrow by date range, camera or lens model, file size, orientation, detected objects, or recognized faces. Face detection and recognition run locally and offline, so you tag a person once and Damselfly finds them in other shots without sending family photos to a cloud service. Keyword tagging writes metadata with ExifTool without re-encoding JPEGs, keeping originals byte-identical while tags travel with the files into DigiKam, Photoshop, or other tools. The Picasa-style basket collects picks from search results for download, watermarked export for social media or email, or upload to WordPress, and baskets can be personal or shared between users. Photos with location metadata appear on a map, visually similar images can be found from a single example, and untagged shots can be listed so nothing stays unlabelled. Accounts with role-based permissions let everyone browse while only editors tag or reorganize, and an optional desktop client syncs basket selections to a laptop for editing. 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.

Instead of paging through albums, Photofield lays a whole photo library out on one zoomable canvas, where thousands of thumbnails sharpen into full-resolution pictures as you zoom. Collections come straight from directories named in a configuration file. One setting turns every subfolder into its own collection. Pick a layout per collection: album grouped by date, timeline with month markers, wall, map, highlights with dates and place names, or flex. Sort oldest first, newest first, or shuffled hourly, daily, weekly, or monthly. Tiles load progressively, and an info drawer shows the date, file name, and dimensions. A right-click menu opens or copies an image, copies its link, or finds similar images. Originals are never modified, so a read-only mount is safe. Indexing runs at up to 10,000 files per second on a fast SSD with a warm cache. JPEG, PNG, AVIF, HEIC, DNG, GIF, MP4, and MOV files are recognized. Place names resolve from an embedded database, with no external lookups. The optional photofield-ai companion adds search by words like beach sunset or cat eyes, plus a Faces layout of detected faces. Alpha tagging lets you label photos. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

HomeGallery turns the photo and video folders on your server into a mobile-friendly web gallery. Your files and folder structure stay exactly as they are. Point it at camera files, phone files, or offline drives, and previews and metadata are extracted once. Scroll one endless stream, newest first. Open any image for its file name, dimensions, capture date, source paths, camera settings, street address, tags, and detected objects. Swipe between photos, then pinch or double-tap to zoom. The Map view clusters photos by place, with counts. The plant button lists similar images, so one sunset finds every other sunset. Face search finds the same person in other photos. A search box accepts expressions like tags in (vacation, family), type:video year in [2015:2020] order by duration, or not exists(geo). In Edit mode, select many photos at once and type comma-separated tags; a minus prefix removes one. Videos are transcoded for playback. Renamed or moved files keep their previews. An archive disk can stay unplugged once indexing is done. Optional logins limit each user to a query filter. Install it as a PWA for a lightweight mobile app. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PiGallery2 turns any mounted folder of images and home videos into a high-speed web gallery without modifying your raw files or forcing migration into a database silo. The server scans directories in read-only mode, keeping folder structures intact while generating responsive previews with hardware-accelerated Sharp processing. Users can inspect detailed camera EXIF metadata, toggle custom full-screen lightboxes with swipe gesture navigation, and stream high-definition MP4 or WebM video clips. Embedded GPS coordinates automatically pin photos onto interactive OpenStreetMap or Mapbox views, allowing travel albums to display alongside synchronized GPX track routes. Powerful boolean search expressions filter across dates, keywords, camera models, and Adobe XMP face regions without requiring expensive background machine learning models. Built-in link sharing creates password-protected access links with custom expiration dates for friends and family. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PicPeak is a self-hosted gallery platform where photographers deliver event photos to clients through private, branded links that expire on their own schedule. Every gallery gets a share link, an optional password, and a QR code that exports as PNG, SVG, an A6 table card, or an A4 poster, so a reception can put the gallery on every table. Guests browse in one of seven layouts, from grid and masonry to carousel and timeline, and react with likes, favorites, star ratings, comments, emoji reactions, or color labels. For a party, open the gallery to guest uploads, hold the finished edit back with Reveal Mode until a scheduled moment, and put the optional Live Slideshow link on a projector so new photos appear as they arrive. Theme presets, custom colors, logos, fonts, CSS, and CMS pages keep the studio's brand in front, while bulk ZIP downloads, capped download sizes, watermarking, and right-click blocking control what guests take home. An analytics dashboard tracks views, unique visitors, and downloads. Beta modules add face grouping that runs in a separate container on your own server, plus quotes, contracts, invoices, and customer accounts for studios. Media sits on local disk or any S3-compatible bucket, OIDC single sign-on lets a team log in through an identity provider, and API tokens and webhooks connect PicPeak to automations. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Publish high-resolution photography without social media compression using ChronoFrame, a self-hosted portfolio and gallery platform built around EXIF camera telemetry, live motion media, and interactive map exploration. Drop JPEG, PNG, WebP, TIFF, or HEIC images alongside paired MOV clips into the browser uploader, and the background task queue automatically extracts camera bodies, lenses, focal lengths, shutter speeds, and RGB histograms while pairing Apple Live Photos and Motion Photos for hover playback. Visitors browse your work through a responsive masonry grid with instant ThumbHash placeholders, inspect fine details inside a hardware-accelerated WebGL tiled viewer, or explore shooting locations on an interactive MapLibre or Mapbox globe powered by reverse geocoding. Curators can group shots into reordered albums, protect private collections with passwords, edit ratings and metadata in bulk, and generate custom share preview cards. Storage scales across local disks, S3-compatible buckets, and OpenList backends with configurable CDN delivery. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

The de facto dashboard of observability: Grafana is the open-source frontend that turns the data stores you already run into interactive graphs. It does not store metrics itself; it connects to the data stores you already run and turns their contents into interactive dashboards. Supported sources number over 150 via plugins: Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, MySQL, PostgreSQL, Microsoft SQL Server, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and many more. Dashboards are built from a large library of panel types (time series, heatmaps, tables, gauges, logs) with template variables for reusable, parameterized views. Unified alerting evaluates rules against any connected data source, not just Prometheus, and routes notifications to Slack, PagerDuty, email, and other channels with grouping and silencing - unlike Prometheus Alertmanager, a single rule can combine a Loki log pattern, a PostgreSQL query result, and a CloudWatch metric. Dashboards serialize to JSON and data sources configure via provisioning files, so the entire observability setup can live in Git and deploy repeatably across environments. Explore mode adds ad-hoc querying outside dashboards, with split view for correlating a metric spike against the matching log lines, and access control spans organizations, teams, folder permissions, and OAuth, LDAP, and SAML integration. Written in Go and TypeScript, AGPL-licensed. Self-hosting gives you unlimited users, dashboards, and queries at flat hosting cost, without Grafana Cloud's usage-based pricing.