Image board engine, Danbooru-style.
79d0efc25b
Added this because recently, there have been more problems with `docker-compose build` where it errors:
ERROR: Service 'server' failed to build: failed to parse platform : "" is an invalid component of "": platform specifier component must match "^[A-Za-z0-9_-]+$": invalid argument
Recent Docker versions have switched to using `buildx` (BuildKit) to build containers, but that needs to be enabled, either in `daemon.json` or through an environment variable. But since we are using Docker Compose, it doesn't pass it to Docker; so the environment variable needs to be set. At least that's what I've heard and figured out sweat_smile My explanation might be very wrong - but it works :)
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| .github/workflows | ||
| client | ||
| doc | ||
| server | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| docker-compose.yml | ||
| LICENSE.md | ||
| README.md | ||
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 youtube-dl
- 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:
Post view:
