google-cloud-logging
Google Cloud Logging API client library
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and is the standard way to integrate Python applications with Google Cloud Logging. Install it if you are building on or integrating with GCP and need centralized logging. Requires Google Cloud project setup and authentication configuration beforehand.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud project setup, billing enabled, Cloud Logging API enabled, and authentication credentials configured (see Quick Start in documentation).
- Low install friction with a pure-wheel distribution.
- Active maintenance with a release 8 days ago; the repository shows recent activity and is not archived.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 101,727,957 downloads/mo, #339 on PyPI
Alternatives
Verify before relying
pip install google-cloud-logging
from google.cloud import logging_v2
client = logging_v2.Client()
logger = client.logger('my-logger')
logger.log_struct({'message': 'Hello, Cloud Logging!'})- Whether the package handles authentication automatically or requires explicit credential setup beyond environment variables.
- Performance characteristics when logging at scale (throughput, latency, batching behavior).
- Whether OpenTelemetry integration is automatic or requires additional configuration.
What it is and what it does
google-cloud-logging is the official Python client library for Google Cloud Logging, allowing applications to write log entries and manage logging configuration in Google Cloud Platform. It wraps the Cloud Logging API and provides a Pythonic interface for structured logging, log querying, and configuration management.
The library depends on google-api-core, google-auth, google-cloud-core, and protobuf for API communication and authentication. It supports Python 3.10 and later, and is actively maintained by Google. The package is designed for applications running on or integrating with GCP infrastructure, from local development to production workloads.
Use it for
- Send application logs from Python services running on Google Cloud to centralized Cloud Logging for monitoring and debugging.
- Integrate structured logging into existing Python applications to capture events as JSON for analysis in Cloud Logging dashboards.
- Manage log sinks, retention policies, and exclusion filters programmatically from Python code.
- Correlate application logs with trace and metrics data in Google Cloud for observability.
- Configure custom log routing and filtering for multi-tenant or complex logging architectures on GCP.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, low install friction, and is the standard way to integrate Python applications with Google Cloud Logging. Install it if you are building on or integrating with GCP and need centralized logging. Requires Google Cloud project setup and authentication configuration beforehand.
Install
google-cloud-logging on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a release 8 days ago; the repository shows recent activity and is not archived.
Requires Google Cloud project setup, billing enabled, Cloud Logging API enabled, and authentication credentials configured (see Quick Start in documentation).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install google-cloud-logging
from google.cloud import logging_v2
client = logging_v2.Client()
logger = client.logger('my-logger')
logger.log_struct({'message': 'Hello, Cloud Logging!'})Verify before relying
- Whether the package handles authentication automatically or requires explicit credential setup beyond environment variables.
- Performance characteristics when logging at scale (throughput, latency, batching behavior).
- Whether OpenTelemetry integration is automatic or requires additional configuration.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 10 packagesgoogle-api-coregoogle-authgoogle-cloud-appengine-logginggoogle-cloud-audit-loggoogle-cloud-coregrpc-google-iam-v1opentelemetry-apigrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 101,727,957 / month, #339 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 :: 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 |
Evidence: google_cloud_logging-3.16.2-py3-none-any.whl
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See also google-cloud-appengine-logging · logdna · google-cloud-monitoring · google-cloud-audit-log · google-cloud-build · google-cloud-bigquery-logging · structlog-gcp · google-cloud-billing · google-cloud-dns · google-cloud-trace