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google-cloud-memcache

Google Cloud Memcache API client library

google-cloud-memcache Permissive license Apache-2.0 Active 5,370 v1.16.0 released

Install

google-cloud-memcache on PyPI

pip

pip install google-cloud-memcache

uv

uv add google-cloud-memcache

poetry

poetry add google-cloud-memcache

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 5 — google-api-core, google-auth, grpcio, proto-plus, protobuf
Maintenance actively maintained — 52 days since the last release
Last repo commit
First released
Popularity one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities none known (OSV.dev, checked 2026-08-13)

Evidence: google_cloud_memcache-1.16.0-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet

About google-cloud-memcache

from the package's own PyPI description — quoted content, verbatim

Python Client for Cloud Memorystore for Memcached

|stable| |pypi| |versions|

Cloud Memorystore for Memcached_: Google Cloud Memorystore for Memcached API is used for creating and managing Memcached instances in GCP.

  • Client Library Documentation_
  • Product Documentation_

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-memcache.svg :target: https://pypi.org/project/google-cloud-memcache/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-memcache.svg :target: https://pypi.org/project/google-cloud-memcache/ .. _Cloud Memorystore for Memcached: https://cloud.google.com/memorystore/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/memcache/latest/summary_overview .. _Product Documentation: https://cloud.google.com/memorystore/

Quick Start

In order to use this library, you first need to go through the following steps:

  1. `Select or create a Cloud Platform...

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Official Google Cloud client library for creating and managing Memcached instances in Google Cloud Memorystore, providing programmatic access to the Cloud Memcached API.

Low friction install with five stable Google-maintained dependencies. Active maintenance with a release 52 days ago and recent commits; part of the widely-used googleapis ecosystem.

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; standard for Google Cloud client libraries.

Usage

pip install google-cloud-memcache

from google.cloud import memcache_v1

client = memcache_v1.CloudMemcacheClient()
project = 'your-project-id'
region = 'us-central1'
instance_id = 'my-memcache'
request = memcache_v1.GetInstanceRequest(name=f'projects/{project}/locations/{region}/instances/{instance_id}')
instance = client.get_instance(request=request)

Requires Python >= 3.10; GCP project with Cloud Memorystore for Memcached enabled and authentication credentials configured (via Application Default Credentials or explicit key).

Verdict: Production-ready, actively maintained Google Cloud client library with no known vulnerabilities and permissive licensing. Suitable for applications that need to programmatically manage Memcached instances on Google Cloud Platform.

Needs verification

  • Whether the library supports async/await patterns for non-blocking operations
  • Performance characteristics and rate-limiting behavior when managing large numbers of instances
  • Specific authentication methods supported beyond Application Default Credentials
google cloud memcache clientmemorystore memcached api pythongcp memcached managementcloud memcache instancesgoogle memorystore python clientmemcached provisioning gcp

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