Best Self Hosted Alternatives to Mylio Photos

Jellyfin is a free software media system for collecting, organizing, and streaming your personal media library from your own server to many types of clients. It provides a server backend and API along with a web interface, and is commonly used as an open alternative to proprietary media servers.

Key Features

• Library management for movies, TV shows, music, and photos with metadata fetching
• Web-based administration and playback interface, plus a broad ecosystem of official and third-party clients
• Streaming with on-the-fly transcoding support via FFmpeg
• User accounts and profiles for separating access and playback history
• Extensible architecture with plugins and integrations

Use Cases

• Host a private “Netflix-like” server for a household’s movie and TV collection
• Centralize and stream a music library to phones, desktops, and smart TVs
• Provide media access for friends or remote devices while keeping content on your own server

Limitations and Considerations

• Transcoding and high-bitrate streaming can require significant CPU/GPU resources depending on usage
• Some client capabilities and codecs may vary by platform, affecting direct play vs transcoding

Jellyfin focuses on giving you full control over your media, with no tracking or vendor-operated central services. It is well-suited for home labs and organizations that want a flexible, privacy-respecting media streaming stack.

PhotoPrism is a self-hosted photo management application that helps you organize, browse, and search large photo and video libraries. It uses machine learning to automatically classify content and make your media easier to find while keeping control of your data.

Key Features

• Automatic labeling and categorization using machine learning
• Face recognition to group photos of people
• Powerful search with combinable filters (labels, places, colors, quality, and more)
• Map-based browsing and location features with geocoding support
• Metadata extraction and merging (e.g., Exif and XMP)
• Web interface optimized for desktop and mobile (PWA-style experience)
• WebDAV support for managing files from compatible clients

Use Cases

• Replace or complement cloud photo services with a private photo library
• Organize multi-device family photo collections with search, labels, and people
• Manage and curate photo/video archives on a home server or NAS

PhotoPrism combines a modern web UI with AI-assisted organization to make personal media libraries searchable and enjoyable to browse. It is well-suited for users who want fast search, automatic tagging, and flexible access to their photo collection.

Ente is an open-source, end-to-end encrypted cloud platform designed to store and sync personal data without needing to trust the service operator. It powers apps such as Ente Photos (a private alternative to mainstream photo clouds) and Ente Auth (a 2FA authenticator with encrypted sync).

Key Features

• End-to-end encryption with a zero-knowledge design for stored and shared content
• Cross-platform clients (mobile, desktop, and web) for photos and authenticator workflows
• Photo backup with background uploads and multi-device sync
• Private sharing, including collaborative albums and link-based sharing with encrypted uploads
• Migration and export workflows to move photo libraries in and out
• External security and cryptography audits reported by the project

Use Cases

• Private photo and video backup as an alternative to Google Photos or iCloud Photos
• Secure family or team photo sharing with collaborative albums
• Encrypted syncing of 2FA tokens across devices (Authy alternative)

Limitations and Considerations

• Some advanced features (for example, semantic search/face features) may depend on the app’s capabilities and server configuration
• Ente Photos is offered as a paid service by the vendor, though the codebase can be deployed independently

Ente suits users who want a privacy-first, audited, end-to-end encrypted experience for photos and 2FA, while keeping the option to run the full stack under their own control. It combines modern client apps with an encrypted cloud backend focused on minimizing trust.

Stash is a self-hosted web application for organizing and viewing a personal adult video and image collection. It indexes your local files, enriches them with metadata, and provides a fast browser-based interface for browsing and streaming.

Key Features

• Library scanning and indexing for video files, images, and image galleries (folders and zip files)
• Scene-centric organization with ratings, tags, performers, studios, and movies
• Video streaming to web browsers with broad codec/container support and FFmpeg-based processing
• Markers to bookmark and tag specific timestamps within scenes, shown on the video scrubber
• Metadata extraction from filenames plus scraping via community-maintained scrapers and metadata providers
• Statistics and insights across performers, tags, studios, and more
• Optional access protection (e.g., password protection) for private libraries

Use Cases

• Build a private “personal site” experience for browsing and streaming an adult media collection
• Curate and tag large libraries with performers, studios, and custom tags for quick retrieval
• Create highlight collections by marking favorite moments with timestamped markers

Limitations and Considerations

• Requires FFmpeg for key functionality such as video processing and broad playback compatibility
• Metadata scraping quality and coverage depends on the configured providers and community scrapers

Stash is well-suited for users who want a private, searchable, and streamable catalog of adult media with strong tagging and curation tools. Its extensibility through scrapers and plugins makes it flexible for many different library workflows.

LibrePhotos is a self-hosted photo and video management service that scans your library from disk and helps you browse, search, and organize your media. It includes machine-learning features for richer discovery, such as face recognition and semantic search.

Key Features

• Imports and indexes existing folders by scanning the file system
• Supports photos (including many RAW formats) and videos
• Timeline view for browsing media chronologically
• Multi-user support
• Metadata-based search (EXIF and other embedded information)
• Face detection and face clustering/classification
• Object and scene detection plus image captioning to improve discovery
• Reverse geocoding to infer locations for photos
• Semantic image search

Use Cases

• Replace proprietary photo cloud services with a self-managed library
• Organize large family photo archives with faces, places, and smart search
• Run a multi-user home or small-team media library with individual accounts

Limitations and Considerations

• Machine-learning features can require significant CPU/RAM and indexing time on large libraries
• Advanced features like video/image conversion depend on external tools being available and correctly configured

LibrePhotos is a strong option for anyone who wants a modern, searchable photo library under their own control. It combines classic photo management features with practical AI-assisted organization for easier browsing and discovery.

Photoview is a self-hosted photo and video gallery designed for personal servers and photographer-friendly workflows. It scans media from directories on your server, maps folders to albums, and builds thumbnails for fast browsing while keeping files under your control.

Key Features

• Filesystem-based library scanning with folders mapped to albums
• Automatic thumbnail generation and lazy-loading for performant browsing
• Multi-user accounts with per-user library paths and access controls
• Share albums or individual media via public links, optionally password-protected
• RAW photo support (using Darktable for conversion)
• EXIF metadata extraction and display, including map view when GPS data is present
• Video support with web-optimized transcoding (using FFmpeg)
• Face detection and grouping of photos by person

Use Cases

• Personal or family photo library hosted on a home server or NAS
• Photographer archive browsing with RAW and EXIF-focused workflows
• Private sharing of selected albums with friends/clients via protected links

Limitations and Considerations

• The official iOS app is no longer maintained or available in the App Store
• Requires an initial scan and thumbnail generation that can be time-consuming on very large libraries

Photoview is a good fit if you want a fast, web-based gallery that mirrors your existing folder organization. It focuses on performance, privacy, and photographer-oriented features like RAW, EXIF, and mapping.

Piwigo is an open-source web application for managing, organizing and sharing large photo collections. It provides album hierarchies, user and permission management, extensible plugins and themes, and tools for batch processing and metadata handling.

Key Features

• Scales to large libraries with on-demand multiple-size image generation and cache management
• Albums hierarchy with unlimited depth; images can belong to multiple albums
• Batch manager for bulk operations (tags, album assignment, authors, geolocation)
• Role/group-based permissions, individual user management and activity/history tracking
• Extensible via hundreds of plugins and themes (gallery, slideshow, metadata, maps, etc.)
• Web API (HTTP/JSON) for integrations (upload, search, thumbnails, third-party tools)
• Mobile apps and upload paths (web upload, FTP, desktop apps, mobile clients)
• Support for image metadata (EXIF/IPTC), geolocation, and various image libraries (GD/ImageMagick)

Use Cases

• Internal image library for organizations requiring per-user access controls and versioned galleries
• Photographer portfolios and client-proofing portals with private albums and batch workflows
• Media cataloging and digital-asset workflows that need metadata import/export and API integration

Limitations and Considerations

• Requires a PHP-enabled web host and a MySQL/MariaDB database; recent Piwigo releases expect modern PHP (8.x)
• Some optional features require extra tools (exiftool for advanced metadata, ffmpeg for video posters) or server tuning for very large installations
• Plugin compatibility can vary between major Piwigo versions; migrations may require testing

Piwigo is a mature, community-driven gallery platform focused on flexibility and performance for large photo collections. It is extensible through themes and plugins and provides developer APIs for integrations and automation.

Memories is a photo and video management application implemented as a Nextcloud app. It provides timeline-first browsing, AI-assisted tagging integration, albums and sharing, map views, bulk metadata editing, and on-demand video transcoding for web-friendly playback.

Key Features

• Timeline view that sorts media by date taken (Exif) and supports fast "rewind" navigation through large libraries.
• AI-assisted automatic tagging via integration with Recognize and Face Recognition Nextcloud apps to group by people and objects.
• Albums and external sharing, including collaborative album editing for multiple Nextcloud users.
• Bulk metadata editing (title, description, GPS, date/time, tags) with most metadata preserved in file Exif headers.
• On-demand video transcoding and HLS packaging for adaptive streaming; supports hardware acceleration (VA-API, NVENC) where available.
• Map view with automatic GPS extraction and reverse geocoding to locate photos on a map.
• Migration helpers for importing from Nextcloud Photos and Google Takeout; optimized for large libraries (tested at high photo counts).

Use Cases

• Personal self-hosted photo library on a Nextcloud instance with privacy-first storage and searchable timelines.
• Small teams or families that want shared, collaborative albums and controlled external sharing without third-party hosting.
• Migrating and organizing large collections (including video) while retaining Exif metadata and enabling web playback via HLS.

Limitations and Considerations

• Requires a Nextcloud instance and recent platform stack (Nextcloud 26+, PHP 8.0+); several features require external system binaries and services (ffmpeg/ffprobe, Imagick) which must be installed and configured.
• AI tagging is provided via external Nextcloud apps and models; enabling full face/object recognition may require separate setup and resources.
• Video transcoding can be resource intensive; hardware acceleration is recommended for performance on large libraries.
• Android client is described as early access; mobile upload relies primarily on Nextcloud mobile apps.

In summary, Memories is a focused, performance-oriented photo gallery app for Nextcloud that emphasizes privacy, metadata preservation, timeline navigation, AI-assisted tagging, and web-friendly video playback. It is designed for users and organizations who want a feature-rich, self-hosted alternative for managing large photo and video collections.

Memories is a fast, modern photo and video management application that runs as a Nextcloud app. It provides a responsive web interface to browse large libraries, organize albums, edit metadata, and stream videos efficiently while keeping files in your existing Nextcloud storage.

Key Features

• Timeline-based browsing using extracted EXIF date/time metadata
• Albums with collaborative organization and sharing (including external sharing)
• Bulk metadata editing (titles, descriptions, dates, GPS, tags)
• Map view using GPS EXIF data, including reverse geocoding for locations
• Video playback with on-demand transcoding and adaptive streaming (HLS)
• Archive workflow to hide selected items from the main timeline
• Integrations for automatic tagging and face/object grouping via Nextcloud AI-related apps
• Performance-oriented indexing designed for very large libraries

Use Cases

• Replace or enhance Nextcloud Photos with a faster, feature-rich gallery experience
• Organize and share family or team media libraries through Nextcloud accounts and public links
• Browse and stream mixed photo/video collections on mobile and desktop with efficient transcoding

Limitations and Considerations

• Some advanced features (for example AI tagging) depend on installing and configuring compatible Nextcloud apps
• Video transcoding can be resource-intensive and may require additional configuration for hardware acceleration

Memories is well-suited for users who already rely on Nextcloud and want a dedicated, high-performance media library experience. It emphasizes retaining your existing folder structure and storing key metadata in standard formats to reduce lock-in and ease migration.

PiGallery2 is a fast, directory-first web photo gallery that renders your existing folder structure as a read-only gallery. It is optimized for low-resource servers and focuses on quick browsing, searching, and viewing photos and videos without modifying your originals.

Key Features

• Directory-first browsing that mirrors your on-disk folder structure
• Fast indexing to a database for responsive browsing (SQLite or MySQL)
• Advanced search with boolean logic, negation, range queries, and autocomplete suggestions
• Photo viewer with optional info panel (including EXIF metadata)
• Map view from GPS photo metadata, with GPX track display and activity visualization
• Sharing links for folders with optional password protection
• On-the-fly thumbnail generation in multiple sizes with caching to a temp folder
• Video playback support and optional transcoding with thumbnail generation
• Markdown files in folders for simple blogging/notes and date attachment
• Logical albums based on saved searches and per-user allow/block filters

Use Cases

• Self-host a lightweight family photo archive that keeps your existing folder layout
• Quickly search large photo collections by date, rating, people metadata, and location
• Share selected folders externally via password-protected links

Limitations and Considerations

• The gallery is intentionally read-only and does not support organizing, editing, or tagging photos within the app
• Face features rely on existing metadata (no built-in ML-based automatic face detection)

PiGallery2 is best suited for users who want a fast, minimal-maintenance photo gallery that reflects their filesystem as-is. It provides powerful search and viewing features while keeping photo management in your regular file workflow.

Damselfly is a server-based digital photo management system built to index very large, folder-based libraries and make images easy to find using filenames, folders, and embedded metadata. It emphasizes fast search and an efficient keyword-tagging workflow, with optional computer-vision assistance.

Key Features

• Indexes large photo collections using EXIF/IPTC metadata plus folder and filename information
• Fast full-text search, including multi-phrase and partial-word matching
• AI-assisted tagging with face detection, face recognition, and object detection (runs locally/offline)
• Advanced filters (date ranges, camera/lens metadata, orientation, file size, untagged images, and more)
• Non-destructive keyword tagging via ExifTool to avoid JPEG re-encoding
• Background scanning and automated thumbnail generation
• Multi-user accounts with role-based entitlements (including read-only access)
• Basket workflow to collect images for download/export and further processing
• Optional desktop client for syncing selected images to a local folder for editing

Use Cases

• Personal or family photo library management with quick search and tagging
• Photographer workflows for cataloging, keywording, and exporting selected sets
• Home server/NAS-based photo access across multiple devices without copying catalogs

Limitations and Considerations

• Primarily designed for folder-based photo libraries; edit/manipulation features are limited compared to dedicated editors
• Video support is not a primary focus and may be limited depending on format and workflow

Damselfly is well-suited for users who want a self-hosted, high-performance photo catalog focused on search, metadata, and assisted tagging. Its basket-and-sync workflow also supports bringing selected photos to a workstation for external editing while keeping the main library centralized.

ChronoFrame is a self-hosted personal photo gallery for uploading, organizing, and viewing photos in a modern, responsive web interface. It focuses on smooth browsing (including large images) and metadata-aware organization with map-based exploration.

Key Features

• Web-based photo upload and management with albums and a dashboard
• EXIF parsing to extract capture time, GPS coordinates, and camera details
• Reverse geocoding to identify shooting locations and map-based exploration view
• Live Photo and Motion Photo support (pairing image and MOV video components)
• Multiple storage backends, including local filesystem and S3-compatible storage
• SQLite-based setup option for low-maintenance deployments

Use Cases

• Personal or family photo library with location-aware browsing
• Lightweight self-hosted alternative for showcasing a frequently updated gallery
• Curating trips or events with albums and map exploration

ChronoFrame is a strong fit for users who want an easy-to-deploy, metadata-driven gallery with modern UI performance and support for dynamic photo formats. Its combination of map exploration, EXIF tooling, and flexible storage makes it practical for both private archiving and sharing curated collections.

HomeGallery is a self-hosted, open-source web gallery for browsing and exploring personal photo and video archives. It focuses on fast, mobile-friendly navigation, tagging, and AI-assisted discovery such as similar-image search and face search.

Key Features

• Timeline view and similarity-based browsing for rediscovering related photos
• Reverse image lookup (similar image search) to find visually related content
• Face detection and finding similar faces
• Video preview generation and transcoding
• Tagging with single and multi-selection
• Boolean search/query language with and/or/not operators
• Reverse geocoding (geo coordinates to human-readable locations)
• Static site export to run as a standalone gallery without a backend service
• Supports offline/read-only media sources after previews and metadata are generated

Use Cases

• Create a private, searchable family photo and video archive on a NAS or home server
• Explore large media collections using similarity browsing to surface forgotten memories
• Generate a static web gallery export for sharing a curated collection internally

Limitations and Considerations

• The full media index is loaded into the browser, which can become large for very big libraries
• Some AI capabilities may rely on an API server that can be self-hosted if you want to avoid external calls

HomeGallery is well-suited for individuals who want a privacy-preserving alternative to cloud photo services while keeping a responsive experience on mobile devices. Its similarity-based exploration and client-side searching make it especially useful for large, long-lived media archives.

Meme Search is an open source meme search engine and finder that helps you organize and retrieve images using AI-generated descriptions and semantic vector search. It performs image-to-text extraction, embedding generation, and searching locally, designed to run easily via Docker.

Key Features

• Local image-to-text processing with multiple selectable captioning models
• Automatic and manual meme description management to improve search quality
• Fast semantic and keyword search backed by PostgreSQL with pgvector
• Tagging and filtering by tags, directory paths, and search mode (keyword vs vector)
• Bulk description generation for faster indexing
• Directory rescans to detect and index newly added images
• Drag-and-drop uploads via the web UI (with configurable storage directory)
• Dark mode user interface

Use Cases

• Personal meme library management for quick semantic retrieval by content or text
• Homelab media organization with local-first AI indexing and search
• Team/shared collections where tags and edited descriptions improve discoverability

Limitations and Considerations

• First-time caption generation can be slow due to downloading and caching model weights
• Resource usage depends on the chosen image-to-text model size and hardware capabilities

Meme Search combines a Rails-based web interface with a Python-based generator to provide practical, private semantic search for image collections. It is well-suited for users who want fast local search, tagging, and ongoing rescans without relying on external AI services.

Photofield is a self-hosted photo gallery and viewer designed for very fast browsing of large photo libraries on commodity hardware. It is non-invasive: your filesystem is the source of truth, and originals are not modified.

Key Features

• Seamless zoomable interface across views for quick detail inspection
• Progressive multi-resolution loading from previews to full-quality media
• Read-only, filesystem-based collections with non-destructive behavior
• Fast indexing optimized for large libraries
• Flexible thumbnail and media pipeline, including reuse of existing thumbnails
• Basic video support (including use of pre-generated multiple resolutions)
• Optional semantic search via a separate AI component and optional tagging (alpha)

Use Cases

• Browsing and searching large personal photo archives stored on NAS or local disks
• Complementing other photo management tools with a fast, read-only viewer
• Serving a lightweight family photo portal with directory-based separation

Limitations and Considerations

• No built-in user accounts, authentication, or authorization
• Not optimized for many concurrent users due to server-side state handling
• Initial page load can be slow on weaker CPUs or cold storage caches
• No on-the-fly video transcoding

Photofield is a strong fit for users who want a fast, simple, non-destructive photo viewer that scales well to large libraries. Its single-binary deployment and caching approach make it easy to run while keeping originals untouched.

Omoide is a self-hosted, offline-first photo and video library that organizes media locally using on-device AI models. It focuses on privacy and longevity by keeping all processing and search on the user’s machine, and can be run as a desktop app or in Docker for servers and NAS devices. (github.com)

Key Features

• 100% local / offline-first media management (no cloud required). (github.com)
• Face detection, embedding and clustering with review/merge tools for people management. (github.com)
• Semantic (natural-language) image search powered by OpenCLIP embeddings. (github.com)
• Auto-tagging, perceptual duplicate detection, and video scene extraction for faster curation. (github.com)
• Map view with EXIF extraction and GPS editing; co-appearance graph to visualize relationships between people. (github.com)
• Multiple profiles, read-only mode for sharing, and background task management for large libraries. (github.com)

Use Cases

• Personal archival and private photo/video libraries where users want local AI-powered search and face grouping. (github.com)
• Photographers or hobbyists organizing large collections on a NAS or local server (Docker support). (github.com)
• Small galleries or archivists needing an offline, searchable presentation/preview of media with privacy controls. (proxmox.orasoft.net.pl)

Limitations and Considerations

• License: distributed under the PolyForm Noncommercial License 1.0.0, which restricts commercial use; review the license before deploying in commercial contexts. (github.com)
• Resource & setup: initial model downloads and AI processing can require significant CPU/GPU resources; FFmpeg and Python toolchain are required for desktop builds and media processing. Performance and required hardware depend on chosen models (CPU-only runs will be slower). (github.com)
• Community & support: actively maintained as a passion project; community discussion and feedback appear on self-hosting forums and social channels rather than a dedicated commercial support portal. (reddit.com)

Omoide provides a privacy-focused, local-first alternative for people who want Google/Apple Photos–like discovery features without cloud dependencies. It is suited for users who can accommodate model downloads and local compute demands and who accept the project’s noncommercial license terms. (github.com)

Circled.me is a self-hosted community server that provides private photo and video backup, album management, real-time chat and audio/video calls. It targets low resource use and privacy for local communities, families or small groups and includes mobile app integration for multi-account access.

Key Features

• Photo and video backup from mobile devices with album and moment grouping
• Local disk or S3-compatible object storage support per-user or per-bucket
• Real-time chat with push notifications and browser/mobile call support (WebRTC)
• Automatic video conversion to H.264 for web compatibility
• Face detection and tagging with optional CNN mode for improved accuracy
• Albums, secret-link sharing, contributor/viewer roles and reverse geocoding for assets
• SQLite default database with optional MySQL support and Docker Compose deployment

Use Cases

• Private family or community photo backup and sharing with controlled access
• Lightweight media server for small groups needing chat and occasional video calls
• Field or event teams collecting photos and geolocation-enriched media with tagging

Limitations and Considerations

• Project is actively developed and may introduce breaking changes; exercise caution for primary/sole backup use
• Mobile app is the primary client currently; web UI/client capabilities may be more limited
• TURN server and NAT traversal require additional configuration and port forwarding for reliable peer-to-peer calls
• Face-detection CNN mode is slower and more CPU-intensive than the default option

Circled.me is a compact, privacy-oriented community server suitable for self-hosted photo sharing and lightweight collaboration. It emphasizes low resource usage and flexible storage backends while providing integrated chat and calling features.

SPIS is a Simple Private Image Server that provides a minimal, fast web gallery for images and videos stored on a filesystem. It is designed for low-resource hosts and mobile use, exposing a progressive web app frontend while delegating media serving to a separate webserver.

Key Features

• Progressive Web App (PWA) frontend optimized for mobile and desktop
• Endless scrolling gallery with thumbnail generation and fast pagination
• Favorites, archive, slideshow playback, and basic filtering by year/month/subdirectory
• Video support with processing using external tools (transcoding/metadata via ffmpeg/ffprobe)
• Custom commands configurable in the UI to run scripts on selected media files
• Configuration via CLI, environment variables, or TOML file with templating for nginx, systemd, and docker-compose
• Docker image and prebuilt binaries for easy deployment
• Filesystem-first design: no database required, multi-threaded Rust backend for indexing and metadata processing

Use Cases

• Personal photo and video galleries hosted on a NAS or single-board computer
• Lightweight media viewer for private collections with PWA installability on phones
• Embeddable admin/viewer for shared media directories with custom command hooks

Limitations and Considerations

• SPIS does not serve raw media files directly; a separate webserver must be configured to serve media and thumbnails
• No built-in user authentication or access control; protection should be implemented at the webserver or reverse-proxy layer
• Video features require ffmpeg/ffprobe on the host for processing and metadata extraction

SPIS is focused on simplicity, performance, and low operational overhead, making it a practical choice for self-hosted personal galleries and lightweight media browsing on modest hardware.

Imagor Studio is a self-hosted image gallery and live editing web application designed for creators. It provides a high-performance gallery plus professional, non-destructive image editing with instant preview and URL-based transforms.

Key Features

• High-performance virtual-scrolling gallery for fast browsing of large photo collections
• Live, non-destructive image editing with real-time preview, color adjustments, effects, and cropping
• Instant URL generation for transformed images to enable on-the-fly delivery and embedding
• Universal storage support: local filesystems and S3-compatible object stores
• Zero-configuration quick start with SQLite by default and Docker images for easy deployment
• Touch-optimized, responsive React-based interface with EXIF metadata display
• Built on a performant image processing stack (libvips/imagor) for efficient transforms and streaming

Use Cases

• Photographers and hobbyists managing large local photo libraries with fast browsing and edits
• Designers and content creators applying quick non-destructive transforms and producing shareable image URLs
• Teams or websites that need on-the-fly optimized images via generated URLs backed by an image processing server

Limitations and Considerations

• Intended primarily for single-site or small-team use; large-scale, multi-tenant deployments may require separate imagor scaling, caching, and storage tuning
• Feature set assumes an external imagor processing backend for heavy production workloads; performance depends on that infrastructure

Imagor Studio combines a modern, touch-friendly UI with a high-performance image processing ecosystem to provide fast browsing and professional live editing for creators. It is suited for local and S3-backed collections and is deployable via Docker for quick setup.

This Week in Past is a Rust-based web application that scans local photo folders, reads image metadata, and presents a simple fullscreen slideshow of images taken during the current calendar week in previous years. It can run as a static binary or in Docker and uses in-memory caching for fast playlist generation.

Key Features

• Aggregates image metadata from configured folders at startup and caches it in memory for fast access
• Shows photos from the current calendar week across previous years; falls back to random images if none match
• Configurable slideshow interval, refresh interval and preload behavior via environment variables or URL parameters
• Optional weather display (requires API key) and optional reverse-geocoding to show city names
• Home Assistant integration support for loading weather from a sensor entity and using an API token
• Folder ignoring via marker files or regular-expression matching; click zones for previous/pause/next controls
• Distributed as a statically compiled Rust binary and as a Docker image for easy deployment

Use Cases

• Display a nostalgia slideshow on a home media display or digital photo frame showing past years' images for this week
• Add a photo-driven screensaver or background display for a home server or NAS with photos mounted
• Combine with Home Assistant to show local weather alongside a photo slideshow in a smart home setup

Limitations and Considerations

• No HEIC image support due to upstream image library limitations; HEIC images will not be displayed
• Indexing and slideshow responsiveness depend on storage throughput and CPU; very large collections benefit from fast disks and RAM
• Weather and location features require external API keys and are disabled until configured

This Week in Past is lightweight and focused: it provides a simple, configurable nostalgia slideshow for locally hosted photo collections and integrates with common smart-home and weather services when configured.