google-cloud-run
Google Cloud Run API client library
Decision gist · record as of 2026-08-14
Yes, if you need to manage Cloud Run services programmatically from Python. The library is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It is the canonical way to interact with Cloud Run's Admin API from Python code. Install it only if you have a Google Cloud project with Cloud Run enabled and authentication already configured.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Google Cloud authentication must be configured (via Application Default Credentials, service account key, or explicit credentials).
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions. You may use, modify, and distribute this library freely provided you include a copy of the license and notice of changes.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 83,160,237 downloads/mo, #404 on PyPI
Alternatives
Verify before relying
pip install google-cloud-run
from google.cloud.run_v2 import ServicesClient
from google.cloud.run_v2 import Service
client = ServicesClient()
service = client.get_service(request={"name": "projects/PROJECT_ID/locations/REGION/services/SERVICE_NAME"})- Whether the library supports both Cloud Run Admin API v1 and v2 equally, or if v2 is the primary target
- Performance characteristics and latency for typical deployment and service management operations
- Whether gRPC or REST transport is the default, and if both are equally supported
What it is and what it does
This is Google's official Python client for the Cloud Run Admin API, a managed service for deploying and running containerized applications on Google Cloud. It abstracts the HTTP/gRPC communication layer and provides Python objects and methods that map directly to Cloud Run's API operations—creating, updating, deleting, and querying services and revisions. The library follows Google Cloud's standard client patterns and integrates with google-auth for credential handling.
You use it when you need to programmatically manage Cloud Run services from Python code: deploying new container images, scaling services, managing traffic routing, querying service status, or integrating Cloud Run operations into larger automation workflows. It requires active Google Cloud authentication and a project with Cloud Run enabled. The library is Beta-status and actively maintained, supporting modern Python versions (3.10 through 3.14).
Use it for
- Automate deployment of container images to Cloud Run as part of a CI/CD pipeline
- Query and monitor the status of running Cloud Run services and revisions programmatically
- Manage traffic splitting and routing policies across multiple service revisions
- Build infrastructure-as-code tools that provision and configure Cloud Run services
- Integrate Cloud Run service lifecycle management into larger cloud orchestration systems
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to manage Cloud Run services programmatically from Python.
The library is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It is the canonical way to interact with Cloud Run's Admin API from Python code. Install it only if you have a Google Cloud project with Cloud Run enabled and authentication already configured.
Install
google-cloud-run on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with recent releases and a stable repository. Requires modern Python (3.10+) and depends on established Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1).
Requires Python 3.10 or later. Google Cloud authentication must be configured (via Application Default Credentials, service account key, or explicit credentials).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions. You may use, modify, and distribute this library freely provided you include a copy of the license and notice of changes.
Quickstart
pip install google-cloud-run
from google.cloud.run_v2 import ServicesClient
from google.cloud.run_v2 import Service
client = ServicesClient()
service = client.get_service(request={"name": "projects/PROJECT_ID/locations/REGION/services/SERVICE_NAME"})Verify before relying
- Whether the library supports both Cloud Run Admin API v1 and v2 equally, or if v2 is the primary target
- Performance characteristics and latency for typical deployment and service management operations
- Whether gRPC or REST transport is the default, and if both are equally supported
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobufgrpc-google-iam-v1 |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 83,160,237 / month, #404 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended 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_run-0.16.1-py3-none-any.whl
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See also google-cloud-appengine-admin · google-cloud-functions · google-cloud-deploy · google-cloud-automl · google-cloud-container · google-cloud-build · google-cloud-resource-manager · google-analytics-admin · google-cloud-runtimeconfig · google-cloud-datastream