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gcloud-rest-taskqueue

Python Client for Google Cloud Task Queue

gcloud-rest-taskqueue v7.0.0 408.6K downloads/30d#6,878 on PyPI348
Permissive license MIT Active released

What it is and what it does

gcloud-rest-taskqueue is a Python client library for interacting with Google Cloud Task Queue, offering both asyncio and threadsafe interfaces for developers who need to manage task scheduling and execution in Google Cloud. It wraps the Cloud Tasks API, allowing you to create, list, and manage tasks programmatically from Python applications.

The package is designed for production use and supports Python 3.8, 3.9, 3.10, and 3.11. It depends only on gcloud-rest-auth for authentication, keeping the dependency footprint minimal. The library is actively maintained and part of the broader gcloud-rest ecosystem, which provides similar async-first clients for other Google Cloud services.

Use it for:

  • Schedule background jobs and deferred tasks in Google Cloud from a Python application
  • Build task queue management into microservices that need to coordinate work across distributed systems
  • Integrate task scheduling into async Python web frameworks that require non-blocking I/O
  • Manage task queues programmatically in automation or infrastructure-as-code workflows

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Asyncio and threadsafe Python client for Google Cloud Task Queue, enabling asynchronous task management and scheduling in Google Cloud.

Yes, if you are building Python applications that need to interact with Google Cloud Task Queue. The package is production-stable, actively maintained, has low install friction, and carries a permissive MIT license. It is a reasonable choice for async-first or threadsafe task queue operations in Google Cloud environments.

Install

gcloud-rest-taskqueue on PyPI

pip

pip install gcloud-rest-taskqueue

uv

uv add gcloud-rest-taskqueue

poetry

poetry add gcloud-rest-taskqueue

Installing gcloud-rest-taskqueue

Before you install

Low friction installation with a single runtime dependency (gcloud-rest-auth). Active maintenance with recent commits; repository remains actively developed.

License in practice

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.

Quickstart

pip install gcloud-rest-taskqueue

from gcloud.rest.taskqueue import TaskQueue

# Requires gcloud-rest-auth for authentication
taskqueue = TaskQueue(project='your-project')

Requires Python 3.8 or later (supports 3.8, 3.9, 3.10, 3.11); authentication via gcloud-rest-auth must be configured

Verify before relying

  • Whether the package supports both asyncio and threadsafe patterns equally or if one is preferred
  • What specific task queue operations are supported beyond scheduling

Package facts

License MIT (permissive)
Python support supports the current Python release (>=3.8,<4.0)
Install friction low — pure-Python wheel
Runtime dependencies 1 — gcloud-rest-auth
Maintenance actively maintained — 1,066 days since the last release
Last repo commit
First released
Downloads 408,575/month — #6,878 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: gcloud_rest_taskqueue-7.0.0-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Internet

Tags

google cloud task queue pythonasyncio task queue clientcloud task schedulinggoogle cloud tasks asynctask queue management python
google-cloudtask-queueasync-client

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