
Product
A New Design for GitHub PR Comments
We redesigned our GitHub PR comments to deliver clear, actionable security insights without adding noise to your workflow.
DOLib is a fully featured python 3.6+ library for Digital Ocean, which provides sync and async APIs. This library supports all Digital Ocean API methods and simple in use. Enjoy!
Comming soon.
Python 3.6+
DOLib uses these awesome libraries:
pip install dolib
Sync client
from dolib import Client
client = Client(token="60c13d47f17dbed9f7293cf8c82d18fece3439a54f88e6c52c2df07f87bd8dd9")
droplets = client.droplets.all()
volume = client.volumes.get("53cf7120-9d5b-11ea-aed1-0a58ac14d008")
client.volumes.attach(volume, droplet_id=droplets[0].id)
Async client
from dolib import AsyncClient
from dolib.models import Droplet
async with Client(token="60c13d47f17dbed9f7293cf8c82d18fece3439a54f88e6c52c2df07f87bd8dd9") as client:
droplet = Droplet(name="dolib-droplet", region="fra1", size="s-1vcpu-1gb", image="ubuntu-18-04-x64")
droplet = await client.droplets.create(droplet)
To run the tests:
tox -p all
This project follows Semantic Versioning 2.0.0.
This project is licensed under the terms of the MIT license.
FAQs
Python library for awesome Digital Ocean API
We found that dolib demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
We redesigned our GitHub PR comments to deliver clear, actionable security insights without adding noise to your workflow.
Product
Our redesigned Repositories page adds alert severity, filtering, and tabs for faster triage and clearer insights across all your projects.
Security News
Slopsquatting is a new supply chain threat where AI-assisted code generators recommend hallucinated packages that attackers register and weaponize.