PhotoPrism vs Immich vs LibrePhotos: Three-Way Comparison
Quick Verdict
Immich is the best choice for most people. It has the best mobile app (rivaling Google Photos), the most active development, automatic backup from phones, facial recognition, and a polished UI. PhotoPrism is the most mature option with the best search and browsing. LibrePhotos has strong AI features but slower development and a rougher experience overall.
Overview
All three are self-hosted Google Photos alternatives with AI-powered features. They differ significantly in maturity, mobile experience, and philosophy.
Immich is the fastest-growing self-hosted photo platform. Built with a mobile-first approach, its iOS and Android apps provide automatic camera backup, timeline browsing, shared albums, and facial recognition. Written in TypeScript/Dart with a microservices architecture (server, machine learning, PostgreSQL, Redis).
PhotoPrism is the most mature of the three. It excels at indexing and searching large photo libraries with AI-powered labels, automatic categorization by color/subject/location, and a clean browsing experience. Written in Go with a Vue.js frontend. Uses MariaDB and optional TensorFlow for AI features.
LibrePhotos is a fork of Ownphotos with AI-driven auto-tagging, face recognition, and event detection. Written in Python/Django with a React frontend. Uses PostgreSQL. Development is slower than the other two, but it has unique features like scene classification and visual similarity search.
Feature Comparison
| Feature | Immich | PhotoPrism | LibrePhotos |
|---|---|---|---|
| Mobile app quality | Excellent (native iOS + Android) | No native app (PWA) | No native app (PWA) |
| Automatic phone backup | Yes (background upload) | No (manual upload only) | No (manual upload only) |
| Face recognition | Yes | Yes | Yes |
| Object detection / AI labels | Yes | Yes (TensorFlow) | Yes (deep learning) |
| Map / location view | Yes | Yes | Yes |
| Timeline view | Yes (Google Photos-like) | Yes | Yes |
| Shared albums | Yes | Yes (link sharing) | Yes |
| Shared libraries (multi-user) | Yes (partner sharing) | Limited | Limited |
| Video support | Yes (full playback + thumbnails) | Yes | Limited |
| RAW file support | Yes | Yes (extensive) | Yes |
| EXIF editing | Yes | Yes | Limited |
| Duplicate detection | Yes | Yes | No |
| Search (text/natural language) | Good | Excellent | Good |
| Import from Google Photos | Yes (via Google Takeout) | Yes | Yes |
| API | REST API | REST API | REST API |
| External sharing links | Yes | Yes | Yes |
| User management | Yes | Limited (multi-user is basic) | Yes |
| OAuth / SSO | Yes | No | No |
| Docker containers | 6 (server, ML, DB, Redis, etc.) | 2 (app + MariaDB) | 4+ (backend, frontend, DB, worker) |
| RAM (idle) | 1-2 GB | 500 MB-1 GB | 1-2 GB |
| RAM (with ML) | 2-4 GB | 1-2 GB | 2-4 GB |
| Language | TypeScript / Dart | Go | Python / Django |
| License | AGPL-3.0 | AGPL-3.0 | MIT |
| GitHub stars | ~60K+ | ~37K+ | ~7K+ |
| Development activity | Very high | Active | Moderate |
Installation Complexity
Immich
The most complex to deploy — 6+ containers (server, microservices, machine learning, PostgreSQL, Redis, and optionally a reverse proxy). The official docker-compose.yml handles this, but the .env file has many variables to configure. Machine learning can be disabled to reduce resource usage. Immich uses frequent breaking changes and explicitly warns that it’s not yet production-ready.
PhotoPrism
Moderate complexity — 2 containers (PhotoPrism + MariaDB). Requires careful configuration of environment variables — database driver must be mysql even for MariaDB, dollar signs in passwords need escaping as $$, and minimum 4 GB swap is required to prevent OOM kills during indexing. Security options (seccomp:unconfined, apparmor:unconfined) are required.
LibrePhotos
Moderate-to-high complexity — 4+ containers (backend, frontend, PostgreSQL, worker for background tasks). The ${tag} environment variable approach for image versioning is unconventional. Documentation is less thorough than Immich or PhotoPrism.
Simplest setup: PhotoPrism (2 containers, well-documented gotchas). Most containers but best-documented: Immich (6 containers, excellent docs). Least polished setup: LibrePhotos (sparse documentation, less community support).
Performance and Resource Usage
| Metric | Immich | PhotoPrism | LibrePhotos |
|---|---|---|---|
| RAM (idle, no ML) | ~500 MB | ~400 MB | ~500 MB |
| RAM (with ML running) | 2-4 GB | 1-2 GB | 2-4 GB |
| CPU (initial library scan) | Very high | High | High |
| Disk (application + ML models) | ~2 GB | ~1 GB | ~2 GB |
| Scan speed (10K photos) | Fast | Moderate | Slow |
| Direct photo viewing | Fast | Fast | Moderate |
Immich is the most resource-hungry but also the fastest for large libraries. Its machine learning pipeline uses ONNX Runtime and can leverage GPUs for face recognition and classification.
PhotoPrism is the most efficient when run without TensorFlow (disable with PHOTOPRISM_DISABLE_TENSORFLOW). With TF enabled, the initial indexing requires 4 GB+ swap and significant CPU time.
LibrePhotos is similar to Immich in resource usage but noticeably slower during library scans and thumbnail generation. Its Python backend is inherently slower than Go or TypeScript at I/O-heavy operations.
Community and Support
Immich has explosive growth — 60K+ GitHub stars and one of the most active open-source projects in the self-hosting space. The Discord community is vibrant, issues are addressed quickly, and new features ship weekly. The downside: frequent breaking changes require you to read release notes before upgrading.
PhotoPrism has a mature, established community (~37K stars). Development is steady. The maintainer is opinionated (this is a feature — the project has clear direction). Documentation is good. Premium features (via PhotoPrism Plus subscription) fund development.
LibrePhotos has a smaller community (~7K stars). Development continues but at a slower pace. Issues may take weeks to get responses. Documentation gaps are common. The MIT license is the most permissive of the three.
Use Cases
Choose Immich If…
- You want the closest experience to Google Photos
- Automatic mobile phone backup is essential
- You want a polished native mobile app
- Shared albums and partner sharing matter
- You have sufficient hardware (4+ GB RAM recommended)
- You’re comfortable with frequent updates and occasional breaking changes
Choose PhotoPrism If…
- You have a large existing photo library to index
- Search and browsing quality matter most
- You want the lowest resource usage
- You prefer stability over bleeding-edge features
- You don’t need mobile auto-backup
- You want the simplest Docker deployment (2 containers)
Choose LibrePhotos If…
- Scene classification and visual similarity search are important to you
- You prefer MIT licensing
- You’re comfortable with a less polished but functional experience
- You want face recognition without a mobile-first app
Final Verdict
Immich is the winner for most users. Its mobile app is transformative — automatic background backup from your phone, with a timeline interface that genuinely rivals Google Photos. If you’re replacing Google Photos, Immich is the closest self-hosted equivalent.
PhotoPrism is the winner for library management. If you have 100K+ photos already on a NAS and want to browse, search, and organize them, PhotoPrism’s indexing and search capabilities are unmatched. It’s also the most resource-efficient option.
LibrePhotos is for enthusiasts who want AI features and don’t mind a rougher experience. Its visual similarity search is unique, but slower development and limited documentation make it harder to recommend over the other two.
The recommendation order: Immich > PhotoPrism > LibrePhotos.
FAQ
Can I migrate between these apps?
There’s no direct migration tool between them. All three can work from the same source photo directory, so you can run them simultaneously during evaluation. Each maintains its own metadata database — face tags, albums, and favorites won’t transfer.
Which is best for RAW photos?
PhotoPrism has the most extensive RAW format support and renders them well. Immich handles RAW files too but PhotoPrism’s experience with RAW browsing is smoother.
Do any of these support external storage (S3)?
Immich supports S3-compatible storage. PhotoPrism and LibrePhotos require local or NFS-mounted storage.
Which uses the least disk space?
PhotoPrism with TensorFlow disabled (~1 GB). Immich and LibrePhotos both need ~2 GB for application data and ML models.
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