google-cloud-container
Google Cloud Container API client library
Decision gist · record as of 2026-08-14
Yes. This is a production-stable, actively maintained library from Google with no security vulnerabilities, low install friction, and permissive licensing. Install it if you need to manage GCP Kubernetes Engine clusters programmatically. The main prerequisite is GCP project setup and authentication configuration, not a blocker for most teams already using Google Cloud.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud authentication setup (service account credentials or Application Default Credentials) and an active GCP project with Kubernetes Engine enabled.
- Low install friction with a wheel distribution.
- Actively maintained with a recent release (72 days ago) and a stable codebase backed by Google's infrastructure.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 48,344,854 downloads/mo, #593 on PyPI
Alternatives
Verify before relying
pip install google-cloud-container
from google.cloud import container_v1
client = container_v1.ClusterManagerClient()
project_id = 'your-project-id'
zone = 'us-central1-a'
response = client.list_clusters(project_id=project_id, zone=zone)- Whether the library supports all current Kubernetes Engine API versions and features.
- Performance characteristics and rate-limiting behavior for large-scale cluster operations.
- Compatibility with non-Google Kubernetes distributions or on-premises clusters.
What it is and what it does
google-cloud-container is the official Python client for Google Cloud's Kubernetes Engine API. It wraps the gRPC-based container management service, allowing developers to programmatically create, configure, monitor, and delete Kubernetes clusters and node pools on GCP. The library handles authentication, serialization, and API communication through standard Google Cloud client libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).
It's designed for infrastructure automation, CI/CD pipelines, and operational tooling where you need to manage container clusters as code. The library supports modern Python versions (3.10 and later) and is actively maintained by Google, with no known security vulnerabilities. It follows Google's standard client library patterns, including structured logging and environment-based configuration.
Use it for
- Automate cluster provisioning and teardown in CI/CD pipelines or infrastructure-as-code workflows.
- Build operational dashboards or monitoring tools that query cluster status and node pool metrics.
- Implement multi-cluster management or failover logic across GCP zones and regions.
- Programmatically configure cluster networking, security policies, and node pool scaling rules.
- Integrate Kubernetes Engine operations into custom deployment or orchestration frameworks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained library from Google with no security vulnerabilities, low install friction, and permissive licensing. Install it if you need to manage GCP Kubernetes Engine clusters programmatically. The main prerequisite is GCP project setup and authentication configuration, not a blocker for most teams already using Google Cloud.
Install
google-cloud-container on PyPI
Before you install
Low install friction with a wheel distribution. Actively maintained with a recent release (72 days ago) and a stable codebase backed by Google's infrastructure.
Requires Google Cloud authentication setup (service account credentials or Application Default Credentials) and an active GCP project with Kubernetes Engine enabled.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install google-cloud-container
from google.cloud import container_v1
client = container_v1.ClusterManagerClient()
project_id = 'your-project-id'
zone = 'us-central1-a'
response = client.list_clusters(project_id=project_id, zone=zone)Verify before relying
- Whether the library supports all current Kubernetes Engine API versions and features.
- Performance characteristics and rate-limiting behavior for large-scale cluster operations.
- Compatibility with non-Google Kubernetes distributions or on-premises clusters.
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 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 48,344,854 / month, #593 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_container-2.65.0-py3-none-any.whl
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See also google-cloud-resource-manager · google-cloud-containeranalysis · grafeas · google-cloud-build · google-cloud-run · google-cloud-functions · google-cloud-dataflow-client · google-cloud-compute · google-cloud-artifact-registry · google-cloud-monitoring