Gelbboru

Gelbboru




🔞 ALL INFORMATION CLICK HERE 👈🏻👈🏻👈🏻

































Gelbboru
6 alternatives Popular filters None
Imageboard Tag based Reverse Image Search No registration required Reporting
Copy a direct link to this comment to your clipboard
Copy a direct link to this comment to your clipboard
Copy a direct link to this comment to your clipboard
Copy a direct link to this comment to your clipboard
⚫︎ No registration required You can use most of the features in this app without registration.
Copy a direct link to this comment to your clipboard
Copy a direct link to this comment to your clipboard
Gelbooru is described as 'Millions of FREE hentai and anime videos, images, wallpapers, and more! No account needed, updated constantly!' and is a Imageboard. There are six alternatives to Gelbooru, not only websites but also apps for. The best alternative is Danbooru , which is both free and Open Source. Other great sites and apps similar to Gelbooru are yande.re , rule34.xxx , E621 and Fur Affinity .
Millions of FREE hentai and anime videos, images, wallpapers, and more! No account needed, updated constantly!
Danbooru is an advanced, tag-based image board system that is based on Ruby On Rails.
NOT FOR KIDS! It contain Pictures of Uncensored nudity.
yande.re is an anime-focused imageboard, or "booru", that utilizes a comprehensive tag system to categorize and archive images for easy browsing and discovery.
NOT FOR KIDS! It contain Pictures of Uncensored nudity.
At rule34.xxx it's easy to find any kind of porn with our fast search engine. Happy browsing!
Mature imageboard replacement for the image board Sidechan. A general audience imageboard, e926 (formerly e961) complements this site.
Fur Affinity, the internet's largest online furry art community.
Konachan is an anime-focused imageboard, or "booru", that utilizes a comprehensive tag system to categorize and archive images for easy browsing and discovery.
NOT FOR KIDS! It contain pictures of uncensored nudity.
AlternativeTo is a free service that helps you find better alternatives to the products you love and hate.
The site is made by Ola and Markus in Sweden, with a lot of help from our friends and colleagues in Italy, Finland, USA, Colombia, Philippines, France and contributors from all over the world. That's right, all the lists of alternatives are crowd-sourced, and that's what makes the data powerful and relevant.
Feel free to send us your questions and feedback at hello@alternativeto.net , in our forums or on social media.
Follow us on Facebook , Twitter or Instagram or chat with us on Discord . This is build Docker_20220822.2 .




Help
Sponsors
Log in
Register




Menu





Help
Sponsors
Log in
Register





Search PyPI




Search




Navigation





Project description





Release history






Download files







Project links











Homepage







Classifiers



Development Status




4 - Beta







Intended Audience




Developers







License




OSI Approved :: GNU General Public License v3 (GPLv3)







Programming Language




Python :: 3.9







Topic




Multimedia :: Graphics





Software Development :: Libraries :: Python Modules









Project links











Homepage







Classifiers



Development Status




4 - Beta







Intended Audience




Developers







License




OSI Approved :: GNU General Public License v3 (GPLv3)







Programming Language




Python :: 3.9







Topic




Multimedia :: Graphics





Software Development :: Libraries :: Python Modules









Help


Installing packages
Uploading packages
User guide
FAQs




About PyPI


PyPI on Twitter
Infrastructure dashboard
Package index name retention
Our sponsors




Contributing to PyPI


Bugs and feedback
Contribute on GitHub
Translate PyPI
Development credits




Using PyPI


Code of conduct
Report security issue
Privacy policy
Terms of use









English





español





français





日本語





português (Brasil)





українська





Ελληνικά





Deutsch





中文 (简体)





中文 (繁體)





русский





עברית





esperanto







pip install python-gelbooru


Copy PIP instructions


Python-Gelbooru is an unofficial and lightweight asynchronous wrapper for the Gelbooru API.

View statistics for this project via Libraries.io , or by using our public dataset on Google BigQuery

License: GNU General Public License v3 (GPLv3) (gpl-3.0)


Tags


gelbooru,



anime,



artwork,



anime artwork,



booru



Everything starts with the AsyncGelbooru class. It can be used as a context manager.
Here's an example before showing the full docs
This downloads 10 random arts with the tags saigyouji_yuyuko that are rated explicit to the arts folder and uses the id of the post for the file name (and automatically uses the correct extension)
The documentation of all of the attributes, methods and properties of these classes can be found here, or in the docstrings.
def __init__(self, *, api_key: Optional[str] = None, user_id: Optional[str] = None)
If values are provided to the constructor, it will represent a session that has a verified API key and user id.
Note: Results will not be changed if the API key or user id is invalid, just that you might be more rate limited more often.
async def search_posts(self, tags: Iterable[str], *, exclude_tags: Iterable[str] = None, limit=1, page_number: int = 0, random: bool = False ) -> Tuple[Post, ...]
Searches Gelbooru with the tags and excluded tags provided.
These tags are not Tag objects, but you can call str() on the Tag object to get the tag that goes in the iterable.
The strings that go in both of the tags and exclude_tags parameters can have spaces, improper capitalization. They will be properly formatted during search.
If random is True: returns random posts.
page_number is with respect to the limit.
Even though the Gelbooru API returns 100 posts by default when a limit isn't provided, this library returns 1 to save from some disasters.
async def get_post(self, *, post_id: Optional[int] = None, md5: Optional[str] = None) -> Tuple[Post, ...]
async def get_post_comments(self, post: Post) -> Tuple[Comment, ...]
async def search_tags(self, names: Optional[Iterable[str]] = None, limit: int = 1, *, name_pattern: Optional[str] = None, after_id: Optional[int] = None, order: Optional[Literal['asc', 'desc']] = None, order_by: Optional[Literal['date', 'count', 'name']] = None) -> Tuple[Tag, ...]
async def get_tag(self, *, name: Optional[str] = None, tag_id: Optional[int] = None) -> Tag
async def async_download(self, path: Optional[str] = None, *, session: Optional[aiohttp.ClientSession] = None, stream: Optional[BinaryIO] = None):
def sync_download(self, path: Optional[str] = None, *, session: Optional[requests.Session] = None, stream: Optional[BinaryIO] = None):
Attributes can be found in the docstrings

View statistics for this project via Libraries.io , or by using our public dataset on Google BigQuery

License: GNU General Public License v3 (GPLv3) (gpl-3.0)


Tags


gelbooru,



anime,



artwork,



anime artwork,



booru



Download the file for your platform. If you're not sure which to choose, learn more about installing packages .

Uploaded Jul 7, 2022


source




Developed and maintained by the Python community, for the Python community.

Donate today!

8b62e0f0279b90637b1b7672c13676bd9c989a9ac2552c3ef8e02d55b1114eb4
44a603a4311b266163d0e29d81c41e56ce6a822edcb3ef9f19217347aa5d1d06

Something went wrong, but don’t fret — let’s give it another shot.




Help
Sponsors
Log in
Register




Menu





Help
Sponsors
Log in
Register





Search PyPI




Search




Navigation





Project description





Release history






Download files







Project links











Homepage













Download







Classifiers



Development Status




4 - Beta







Intended Audience




Developers







License




OSI Approved :: GNU General Public License v3 (GPLv3)







Programming Language




Python :: 3.6





Python :: 3.7





Python :: 3.8







Topic




Multimedia :: Graphics





Software Development :: Libraries :: Python Modules









Project links











Homepage













Download







Classifiers



Development Status




4 - Beta







Intended Audience




Developers







License




OSI Approved :: GNU General Public License v3 (GPLv3)







Programming Language




Python :: 3.6





Python :: 3.7





Python :: 3.8







Topic




Multimedia :: Graphics





Software Development :: Libraries :: Python Modules









Help


Installing packages
Uploading packages
User guide
FAQs




About PyPI


PyPI on Twitter
Infrastructure dashboard
Package index name retention
Our sponsors




Contributing to PyPI


Bugs and feedback
Contribute on GitHub
Translate PyPI
Development credits




Using PyPI


Code of conduct
Report security issue
Privacy policy
Terms of use









English





español





français





日本語





português (Brasil)





українська





Ελληνικά





Deutsch





中文 (简体)





中文 (繁體)





русский





עברית





esperanto







pip install pygelbooru


Copy PIP instructions


PyGelbooru is an unofficial and lightweight asynchronous library for Gelbooru compatible API's.

View statistics for this project via Libraries.io , or by using our public dataset on Google BigQuery

License: GNU General Public License v3 (GPLv3) (gpl-3.0)


Tags


gelbooru,



anime,



artwork,



anime artwork,



booru



PyGelbooru is an unofficial and lightweight asynchronous library for the Gelbooru API.
This library requires Python 3.6 or above.
You can install the library through pip as follows,
The primary use for this library is, naturally, to search for images with specific tags.
Tags can contain spaces when passed as arguments, they will simply be reformated with underscores before being queried, so you don't need to reformat them yourself.
Results are returned as a list of GelbooruImage containers. When cast to a string, this will return the image_url,
In addition to searching for a large list of images, PyGelbooru also provides a helper method for when you're really just after a single, random image that matches the specified tags.
This method will automatically pull a random image from the last 20,000 Gelbooru image submissions.
You can fetch post comments directly from the GelbooruImage container,
Besides searching for images, you can also pull information on tags as follows,

View statistics for this project via Libraries.io , or by using our public dataset on Google BigQuery

License: GNU General Public License v3 (GPLv3) (gpl-3.0)


Tags


gelbooru,



anime,



artwork,



anime artwork,



booru



Download the file for your platform. If you're not sure which to choose, learn more about installing packages .

Uploaded Mar 18, 2022


source




Uploaded Mar 18, 2022


py3




Developed and maintained by the Python community
Sara Underwood Fapping
Hentai Paradise
Allie Ayers Naked

Report Page