Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/rr-/szurubooru
Image board engine, Danbooru-style.
https://github.com/rr-/szurubooru
danbooru es6 image-board-engine python
Last synced: about 1 month ago
JSON representation
Image board engine, Danbooru-style.
- Host: GitHub
- URL: https://github.com/rr-/szurubooru
- Owner: rr-
- License: gpl-3.0
- Created: 2013-10-01T05:26:47.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2024-04-27T19:59:45.000Z (4 months ago)
- Last Synced: 2024-04-27T21:37:28.282Z (4 months ago)
- Topics: danbooru, es6, image-board-engine, python
- Language: Python
- Homepage:
- Size: 11.1 MB
- Stars: 644
- Watchers: 26
- Forks: 164
- Open Issues: 142
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-acg - szurubooru - Python-powered booru for small to medium communities. [English] (Image Board)
README
# 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](https://sjp.pwn.pl/sjp/;2527372). 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](https://github.com/yt-dlp/yt-dlp)
- Post comments
- Post notes / annotations, including arbitrary polygons
- Rich JSON REST API ([see documentation](doc/API.md))
- 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.](doc/INSTALL.md)
More installation resources, as well as related projects can be found on the
[GitHub project Wiki](https://github.com/rr-/szurubooru/wiki)
## Screenshots
Post list:
Post view:
## License
[GPLv3](LICENSE.md).