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gcloud-aio-taskqueue

Python Client for Google Cloud Task Queue

Worth itPyPI InternetReleased Sep 2023422.8K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — gcloud_aio_taskqueue-7.0.0-py3-none-any.whl
v7.0.0 · released 2023-09-13 · Python >=3.8,<4.0 · 1 runtime deps: gcloud-aio-auth

Yes. The package has low install friction, active maintenance, no known vulnerabilities, permissive licensing, and solid production history. Install it if you need to interact with Google Cloud Task Queue from Python and prefer a dedicated client library over raw API calls.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.8 or later and valid Google Cloud credentials configured in the environment.
  • Low install friction with a single runtime dependency (gcloud-aio-auth).
  • The package is actively maintained with recent commits and has been in production use since 2017, supporting current Python versions (3.8–3.11).

License · maintenance · safety

MIT (permissive) — MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions.

last release 2023-09-13 (1066 days) · last repo commit 2026-08-14 · 348 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 422,755 downloads/mo, #6,779 on PyPI

Verify before relying

pip install gcloud-aio-taskqueue

import asyncio
from gcloud.aio.taskqueue import TaskQueue

async def main():
    async with TaskQueue() as client:
        # Use client to interact with Cloud Task Queue
        pass

asyncio.run(main())
  • Whether the library supports both asyncio AND threadsafe patterns equally, or if one is primary
  • Specific Google Cloud Task Queue API version(s) supported by version 7.0.0
  • Whether gcloud-aio-auth credentials are automatically discovered or require explicit configuration
Same gist for agents: .md · .json

What it is and what it does

gcloud-aio-taskqueue is a Python client for Google Cloud Task Queue that provides both asyncio and threadsafe interfaces for scheduling and managing tasks in Google Cloud. It wraps the Google Cloud Tasks API, allowing developers to create, list, and execute tasks programmatically from Python applications.

The library is part of the larger gcloud-aio ecosystem and depends on gcloud-aio-auth for authentication. It targets modern Python versions (3.8 through 3.11) and has been maintained in production since 2017. The package is designed for developers who need to integrate Cloud Task Queue operations into their applications, whether using async/await patterns or traditional threaded code.

Use it for

  • Schedule background jobs and deferred tasks in Google Cloud from a Python application
  • Manage task queues programmatically without direct API calls in async-first codebases
  • Integrate task scheduling into microservices or serverless architectures running on Google Cloud
  • Batch and queue long-running operations for asynchronous execution with retry policies

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package has low install friction, active maintenance, no known vulnerabilities, permissive licensing, and solid production history. Install it if you need to interact with Google Cloud Task Queue from Python and prefer a dedicated client library over raw API calls.

Install

gcloud-aio-taskqueue on PyPI

Before you install

Low install friction with a single runtime dependency (gcloud-aio-auth). The package is actively maintained with recent commits and has been in production use since 2017, supporting current Python versions (3.8–3.11).

Requires Python 3.8 or later and valid Google Cloud credentials configured in the environment.

License in practice

MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions.

Quickstart

pip install gcloud-aio-taskqueue

import asyncio
from gcloud.aio.taskqueue import TaskQueue

async def main():
    async with TaskQueue() as client:
        # Use client to interact with Cloud Task Queue
        pass

asyncio.run(main())

Verify before relying

  • Whether the library supports both asyncio AND threadsafe patterns equally, or if one is primary
  • Specific Google Cloud Task Queue API version(s) supported by version 7.0.0
  • Whether gcloud-aio-auth credentials are automatically discovered or require explicit configuration

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.8,<4.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
gcloud-aio-auth
MaintenanceActively maintained 1,066 days since the last release
Last repo commit
First released
Downloads422,755 / month, #6,779 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
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

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

Tags

Capabilities
google cloud task queue python clientasyncio task queue google cloudgcloud task queue asyncpython cloud tasks apigoogle cloud tasks library
Topics
google-cloudasync-firsttask-queue

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See also gcloud-aio-datastore · gcloud-rest-taskqueue · gcloud-aio-pubsub · gcloud-aio-storage · gcloud-aio-bigquery · gcloud-aio-auth · gcloud-rest-bigquery · gcloud-rest-datastore · taskcluster · algoliasearch