google-cloud-service-control
Google Cloud Service Control API client library
Decision gist · record as of 2026-08-14
Yes, if you are building services on Google Cloud Service Infrastructure and need to integrate admission control or telemetry reporting. The library is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Not relevant for applications outside the Google Cloud ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10; Google Cloud credentials must be configured (via application default credentials, service account key, or environment variable).
- Low install friction with a pure-wheel distribution.
- Active maintenance with a release 8 days ago; the repository is actively developed and well-established within the Google Cloud Python ecosystem.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, typical for Google Cloud client libraries.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 201,282 downloads/mo, #9,675 on PyPI
Alternatives
Verify before relying
pip install google-cloud-service-control
from google.cloud import servicecontrol_v1
client = servicecontrol_v1.ServiceControllerClient()- Whether the library requires explicit Google Cloud project setup beyond standard authentication.
- Performance characteristics and typical latency for admission control and telemetry operations.
- Specific use-case examples beyond the generic quick-start documentation.
What it is and what it does
This is the official Python client library for Google Cloud Service Control, a managed service that provides admission control and telemetry reporting for applications integrated with Google Cloud Service Infrastructure. It wraps the Service Control API, allowing you to enforce policies and report metrics for your services running on or integrated with Google Cloud.
The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization. It is maintained as part of the broader google-cloud-python ecosystem and supports Python 3.10 through 3.14. Installation is straightforward via pip, and the library integrates with Google Cloud's standard authentication mechanisms.
Use it for
- Enforce admission control policies for microservices by checking requests against Service Control before processing.
- Report service telemetry and quota usage metrics to Google Cloud Service Infrastructure for monitoring and billing.
- Integrate custom services with Google Cloud's managed infrastructure for centralized policy enforcement.
- Implement rate limiting and quota management for APIs using Service Control's admission checks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building services on Google Cloud Service Infrastructure and need to integrate admission control or telemetry reporting.
The library is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Not relevant for applications outside the Google Cloud ecosystem.
Install
google-cloud-service-control on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a release 8 days ago; the repository is actively developed and well-established within the Google Cloud Python ecosystem.
Requires Python >= 3.10; Google Cloud credentials must be configured (via application default credentials, service account key, or environment variable).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, typical for Google Cloud client libraries.
Quickstart
pip install google-cloud-service-control
from google.cloud import servicecontrol_v1
client = servicecontrol_v1.ServiceControllerClient()Verify before relying
- Whether the library requires explicit Google Cloud project setup beyond standard authentication.
- Performance characteristics and typical latency for admission control and telemetry operations.
- Specific use-case examples beyond the generic quick-start documentation.
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 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 201,282 / month, #9,675 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_service_control-1.21.0-py3-none-any.whl
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See also google-cloud-monitoring · google-cloud-tasks · google-cloud-functions · google-cloud-dataflow-client · google-cloud-build · google-cloud-monitoring-dashboards · google-cloud-workflows · google-cloud-service-usage · google-cloud-access-context-manager · google-cloud-container