google-cloud-resource-manager
Google Cloud Resource Manager API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client library for Cloud Resource Manager with low install friction, permissive licensing, no known vulnerabilities, and broad Python version support. Install it if you need to manage GCP projects, folders, or organizational metadata programmatically. Prerequisite: you must have Google Cloud authentication configured and Python 3.10+.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10.
- You must set up Google Cloud authentication (via service account key, Application Default Credentials, or environment variable) before the client can make API calls.
- Low friction installation with a pure-Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 69,047,612 downloads/mo, #475 on PyPI
Alternatives
Verify before relying
pip install google-cloud-resource-manager
from google.cloud import resourcemanager_v3
client = resourcemanager_v3.ProjectsClient()
project = client.get_project(request={'name': 'projects/PROJECT_ID'})- Whether the package supports async/await patterns for non-blocking resource operations.
- Specific rate limits or quotas enforced by the Cloud Resource Manager API itself.
- Whether pagination is automatic or requires manual handling for large result sets.
What it is and what it does
This is the official Python client library for Google Cloud Resource Manager, a Google Cloud service that manages the metadata and hierarchy of GCP resource containers (projects, folders, and organizations). It wraps the Cloud Resource Manager API and provides a Pythonic interface to create, read, update, and delete these resources programmatically.
The library is built on top of Google's standard client infrastructure (google-api-core, google-auth, grpcio, and protocol buffers) and is actively maintained as part of the googleapis/google-cloud-python monorepo. It requires Python 3.10 or later and handles authentication through Google's standard mechanisms. The package is classified as Production/Stable and supports current Python versions including 3.14.
Use it for
- Automate project creation and configuration in GCP as part of infrastructure-as-code workflows.
- Programmatically manage project metadata, labels, and organizational hierarchy in multi-tenant environments.
- Query and audit existing GCP projects and folders to enforce compliance or governance policies.
- Integrate GCP resource management into CI/CD pipelines for automated environment provisioning.
- Build custom dashboards or monitoring tools that track project-level metadata and organizational structure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained client library for Cloud Resource Manager with low install friction, permissive licensing, no known vulnerabilities, and broad Python version support. Install it if you need to manage GCP projects, folders, or organizational metadata programmatically. Prerequisite: you must have Google Cloud authentication configured and Python 3.10+.
Install
google-cloud-resource-manager on PyPI
Before you install
Low friction installation with a pure-Python wheel. Actively maintained as of 2026-06-22 with recent activity; depends on standard Google Cloud client libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1).
Requires Python >= 3.10. You must set up Google Cloud authentication (via service account key, Application Default Credentials, or environment variable) before the client can make API calls.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install google-cloud-resource-manager
from google.cloud import resourcemanager_v3
client = resourcemanager_v3.ProjectsClient()
project = client.get_project(request={'name': 'projects/PROJECT_ID'})Verify before relying
- Whether the package supports async/await patterns for non-blocking resource operations.
- Specific rate limits or quotas enforced by the Cloud Resource Manager API itself.
- Whether pagination is automatic or requires manual handling for large result sets.
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 | 69,047,612 / month, #475 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_resource_manager-1.18.0-py3-none-any.whl
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See also google-cloud-access-context-manager · google-cloud-asset · google-cloud-certificate-manager · google-cloud-container · google-cloud-notebooks · google-cloud-datacatalog · google-cloud-api-keys · google-cloud-managedkafka · google-cloud-build · google-cloud-org-policy