gcloud-rest-taskqueue
Python Client for Google Cloud Task Queue
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later (supports 3.8, 3.9, 3.10, 3.11); authentication via gcloud-rest-auth must be configured
- Low friction installation with a single runtime dependency (gcloud-rest-auth).
- Active maintenance with recent commits; repository remains actively developed.
License · maintenance · safety
MIT (permissive) — 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.
last release 2023-09-13 (1066 days) · last repo commit 2026-08-14 · 348 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 408,575 downloads/mo, #6,878 on PyPI
Alternatives
Verify before relying
pip install gcloud-rest-taskqueue
from gcloud.rest.taskqueue import TaskQueue
# Requires gcloud-rest-auth for authentication
taskqueue = TaskQueue(project='your-project')- Whether the package supports both asyncio and threadsafe patterns equally or if one is preferred
- What specific task queue operations are supported beyond scheduling
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 on it.
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
Before you install
Low friction installation with a single runtime dependency (gcloud-rest-auth). Active maintenance with recent commits; repository remains actively developed.
Requires Python 3.8 or later (supports 3.8, 3.9, 3.10, 3.11); authentication via gcloud-rest-auth must be configured
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')
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 packagegcloud-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 |
| 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_rest_taskqueue-7.0.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “google cloud task queue python”
- gcloud-rest-taskqueueAsyncio and threadsafe Python client for Google Cloud Task Queue,…
- gcloud-aio-taskqueueAsyncio and threadsafe Python client library for interacting with…
- google-cloud-tasksPython client library for Google Cloud Tasks, enabling you to create,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Internet packages
Botocore provides low-level, data-driven access to Amazon Web Services APIs, serving as the foundation for the AWS CLI and boto3 libraries.
Install it if you need programmatic access to AWS services.
Provides an async client for AWS services using botocore and aiohttp, allowing you to call AWS APIs asynchronously within asyncio-based applications.
Install it if you need to call AWS services from async Python code; it is the standard way to do so.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides a platform-independent file locking mechanism to coordinate access to files across processes and threads.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides common Protocol Buffer message definitions used across Google Cloud APIs, enabling Python clients to interact with Google services.
See also gcloud-aio-taskqueue · gcloud-rest-bigquery · gcloud-aio-storage · gcloud-rest-auth · gcloud-aio-datastore · gcloud-rest-datastore · gcloud-aio-bigquery · b2luigi · culsans · taskcluster