# photonixapp/photonix

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

Repository: https://github.com/photonixapp/photonix
Canonical: https://ross.abutalabs.com/products/photonix
Homepage: https://photonix.org/
Language: Python
License: AGPL-3.0
License Family: copyleft
Topics: photo, photography, django, javascript, react, web, gallery, management, python, tensorflow, object-detection, image-recognition, photo-manager, ml, ai, docker, docker-image, google-photos, storage, face-recognition
Last push: 2026-07-21T11:06:10+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 8, longevity 100
- inputs: {"age_days": 3466, "days_push": 43, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1955, forks 136 (observed 2026-08-28T04:05:58.997832+00:00)

## What it is
Photonix is a self-hosted, web-based photo management server built with Django and React. It ingests your photo collection and enables smart search and filtering using ML-based object recognition, face recognition, location awareness, and color analysis.

## Use cases
- self-host a Google Photos alternative on my home server
- search my photo library by objects, faces, or location
- organize and access photos from any device via a browser
- manage RAW photography files alongside edited images
- run a private multi-user photo library for my family
- automatically tag and filter photos with AI

## When to choose
- you want a self-hosted, privacy-respecting photo manager with ML-powered search
- you run a home server or Raspberry Pi and want Docker-based deployment
- you need multi-user and multi-library support for families or small teams

## When to avoid
- you need a fully stable, feature-complete 1.0 product - it is still in development with broken parts
- you need video support or a polished mobile app today
- you want a set-and-forget backup solution rather than a management tool

## Facets
- artifact type: application
- maturity: experimental
- function: image-processing, machine-learning, search-engine, web-framework, self-hosted
- domain: photography, image-processing, machine-learning, self-hosted, media
- platform: self-hosted, python, browser
- tags: photo-management, face-recognition, object-detection, google-photos-alternative, django, react, tensorflow, home-server, photo-gallery, docker, web-server

## Member repositories
- photonixapp/photonix (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:58.997832+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:06:30.717308+00:00, confidence not recorded.
  - readme: https://github.com/photonixapp/photonix (fetched 2026-08-28T04:05:58.997832+00:00, sha 3d98aca08183)
  - homepage: https://photonix.org/ (fetched 2026-08-29T10:46:24.608925+00:00, sha e3431ffba004)
  - site_page: https://photonix.org/docs/installing (fetched 2026-08-29T10:46:24.615984+00:00, sha db64f7c36f59)
  - site_page: https://photonix.org/docs/developer/image_analysis (fetched 2026-08-29T10:46:24.618008+00:00, sha 1779cb2a9e34)
  - site_page: https://photonix.org/docs/users_libraries (fetched 2026-08-29T10:46:24.619912+00:00, sha 5e6df7ff62a7)
  - site_page: https://photonix.org/docs/sustainability (fetched 2026-08-29T10:46:24.621550+00:00, sha 3d2a35d0d67c)
  - site_page: https://photonix.org/faqs (fetched 2026-08-29T10:46:24.612130+00:00, sha da58561247c9)
- Data as of 2026-08-30T08:39:29.467469+00:00.