google-cloud-monitoring

Google Cloud Monitoring API client library

google-cloud-monitoring Permissive license Apache-2.0 Active ★ 5,370 v2.31.0 released 2026-06-03

Install

google-cloud-monitoring on PyPI

pip

pip install google-cloud-monitoring

uv

uv add google-cloud-monitoring

poetry

poetry add google-cloud-monitoring

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 — 71 days since the last release
Last repo commit	2026-08-13
First released	2016-09-29
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_monitoring-2.31.0-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-monitoring

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

Python Client for Cloud Monitoring

Cloud Monitoring_: Manages your Cloud Monitoring data and configurations.

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-monitoring.svg :target: https://pypi.org/project/google-cloud-monitoring/ .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-monitoring.svg :target: https://pypi.org/project/google-cloud-monitoring/ .. _Cloud Monitoring: https://cloud.google.com/monitoring/docs .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/monitoring/latest/summary_overview .. _Product Documentation: https://cloud.google.com/monitoring/docs

Quick Start

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

Select or create a Cloud Platform project._
Enable billing for your project._
Enable the Cloud Monitoring._
`Set up...

Read as markdown · JSON record · Source repository · Homepage

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Official Python client library for Google Cloud Monitoring, enabling programmatic management of monitoring data, metrics, and alert configurations on Google Cloud Platform.

Low friction installation with five stable runtime dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf). Active maintenance with recent releases; repository shows 5370 stars and last commit dated 2026-08-13.

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

Usage

pip install google-cloud-monitoring

from google.cloud import monitoring_v3

client = monitoring_v3.MetricServiceClient()
project_name = client.common_project_path('PROJECT_ID')
results = client.list_time_series(request={'name': project_name})

Requires Python >= 3.10; Google Cloud Platform project with Cloud Monitoring enabled and valid authentication credentials configured.

Verdict: Production-ready official Google client library with active maintenance, no known vulnerabilities, and low install friction. Suitable for applications requiring programmatic access to Cloud Monitoring APIs on GCP.

Needs verification

Whether the package supports async/await patterns for concurrent monitoring operations
Performance characteristics and rate-limiting behavior when querying large metric datasets
Specific authentication methods supported beyond standard Application Default Credentials

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