PhotoPrism
Personal photo management powered by Go and Google TensorFlow. Browse, organize, and share your personal photo collection, using the latest technologies to automatically tag and find pictures.
High commit volume, frequent releases and growing activity.
Commit activity more than 92% of tracked projects; popularity more than 95%. How this is calculated.
Commits, last 11 months
| Stars | 40k |
|---|---|
| Latest release | 260919-28c46a116 · 19 Sept 2026 |
| Repo updated | 27 Sept 2026 |
| Licence | AGPL-3.0 |
| Built with | Go, Docker |
Is PhotoPrism actively maintained?
Over the last 11 months the project absorbed 2496 commits, of which 937 arrived in the most recent quarter — roughly 312 commits a month.
Activity is accelerating: the last quarter carried 52% more commits than the one before it.
The most recent tagged release, 260919-28c46a116, shipped within the last month — a current, installable version exists today.
Of the 25 projects we track in Photo Galleries, PhotoPrism ranks #2 by health score — in the top quarter of its category.
What PhotoPrism actually does
PhotoPrism is a self-hosted photo management system that uses machine learning models to automatically tag and organise image libraries. It allows you to browse, search, and share your personal collection through a web interface. The backend is written in Go and integrates with TensorFlow for image recognition.
Best fit: It suits individuals who want to organise large, self-hosted image collections with automated tagging without relying on external cloud services.
Worth knowing: Running TensorFlow inference locally can demand significant CPU or memory resources, and the AGPL-3.0 licence may impose constraints if you plan to modify and distribute the code.
Deployment notes
You can typically run it using Docker with persistent volumes attached for your media library and configuration data. It generally requires a reverse proxy in front to handle HTTPS termination.
PhotoPrism as a replacement for
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