szurubooru with AFOS changes
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fix draft button and give it color
2025-12-13 15:43:10 +01:00
.forgejo/workflows remove build arg 2025-12-13 14:39:13 +01:00
.github/workflows client+server: only trigger autobuild on master branch pushes 2022-03-31 18:54:08 -04:00
client fix draft button and give it color 2025-12-13 15:43:10 +01:00
doc chore: questionable is not a recognized rating 2025-02-11 21:50:27 +01:00
server simplify docker setup for my local instance 2025-12-13 14:32:40 +01:00
.gitattributes all: add .gitattributes 2022-05-02 13:04:07 +02:00
.gitignore all: updated gitignore 2020-03-06 10:29:03 -05:00
.pre-commit-config.yaml server+client: bump versions in pre-commit 2023-04-17 10:31:35 -04:00
docker-compose.dev.yml build: setup docker-compose.dev.yml dev iteration 2025-05-23 20:05:15 +02:00
docker-compose.yml doc: use docker compose instead of docker-compose 2025-02-11 21:25:10 +01:00
LICENSE.md docs/license: add license 2016-09-08 18:09:24 +02:00
README.md doc: update for yt-dlp 2023-08-17 20:58:09 +08:00

szurubooru

Szurubooru is an image board engine inspired by services such as Danbooru, Gelbooru and Moebooru dedicated for small and medium communities. Its name has its roots in Polish language and has onomatopeic meaning of scraping or scrubbing. It is pronounced as shoorubooru.

Features

  • Post content: images (JPG, PNG, GIF, animated GIF), videos (MP4, WEBM), Flash animations
  • Ability to retrieve web video content using yt-dlp
  • Post comments
  • Post notes / annotations, including arbitrary polygons
  • Rich JSON REST API (see documentation)
  • Token based authentication for clients
  • Rich search system
  • Rich privilege system
  • Autocomplete in search and while editing tags
  • Tag categories
  • Tag suggestions
  • Tag implications (adding a tag automatically adds another)
  • Tag aliases
  • Pools and pool categories
  • Duplicate detection
  • Post rating and favoriting; comment rating
  • Polished UI
  • Browser configurable endless paging
  • Browser configurable backdrop grid for transparent images

Installation

It is recommended that you use Docker for deployment. See installation instructions.

More installation resources, as well as related projects can be found on the GitHub project Wiki

Screenshots

Post list:

20160908_180032_fsk

Post view:

20160908_180429_lmp

License

GPLv3.