Image board engine, Danbooru-style.
[server] `func/images.py`: - `Image` is now `Image` and `Video`, with their own post-type-specific operations; some of them from `func/metadata.py`. as a result, post type checking will need to be done outside of the classes - apply orientation to [fixed] thumbnail generation and image conversion - moved `_execute` to a global function; it now purely uses streams instead of tempfiles - `func/images.py::Video::to_mp4()` removed code that downscales resolution to an even number since ffmpeg does it automatically - use fstrings instead of .format and % in certain places - DEPRECATING FLASH FILES; there really is no place for them in a photo-oriented booru such as this. will slowly phase it out overtime. added an error message for it - changed EXIF orientation reference URL [server] `func/posts.py`: - `update_post_content()`: updated to use `func/images.py`'s new features |
||
---|---|---|
.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: