Lychee vs PhotoPrism
| Tagline | Grid and album-based self-hosted photo management system | AI-powered personal photo management with TensorFlow tagging and browsing |
| Category | Photo Management | Photo Management |
| Replaces | Google Photos, iCloud Photos | Google Photos, iCloud Photos |
| GitHub stars | 4.2k | 40k |
| Language | PHP | Go |
| License | MIT | AGPL-3.0 |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Docker Compose Manual | Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | yesterday | today |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Lychee
- No automatic mobile backup; photos must be uploaded manually via the web interface
- No AI-based tagging, face recognition, or semantic search
- Some advanced features (smart albums, U2F login) require the paid Supporter Edition
- No video transcoding; video support is limited to direct playback of uploaded files
PhotoPrism
- Mobile auto-backup requires a third-party app (no official mobile client); Google Photos has seamless native sync
- Advanced features (multi-user, private mode) locked behind a paid Plus license
- Initial indexing and AI classification can be very slow on CPU-only hardware
- Face recognition accuracy is lower than Google Photos' cloud-scale models
Bottom line
Both are a similar lift to self-host; choose PhotoPrism for the larger community and ecosystem. PhotoPrism has seen more recent development. Open each guide below for deploy steps and the full feature gap.
PhotoPrism
AI-powered personal photo management with TensorFlow tagging and browsing