google-cloud-access-context-manager
Google Cloud Access Context Manager Protobufs
Decision gist · record as of 2026-08-14
Yes, if you need to manage GCP Access Context Manager policies from Python code. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It requires Python 3.10+ and valid GCP credentials, but those are reasonable prerequisites for a GCP-specific client library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10; GCP project with Access Context Manager enabled and valid authentication credentials configured.
- Low install friction with only two runtime dependencies (google-api-core and protobuf).
- Actively maintained with a recent release; repository is not archived and receives regular commits.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), allowing use in commercial and private projects with minimal restrictions.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,163,202 downloads/mo, #4,282 on PyPI
Alternatives
Verify before relying
pip install google-cloud-access-context-manager
from google.cloud import access_context_manager_v1
client = access_context_manager_v1.AccessContextManagerClient()- Whether this library is suitable for read-only access policy queries versus policy creation and management.
- Performance characteristics and rate limits when querying large numbers of access policies.
- Whether additional setup beyond GCP authentication is needed for policy enforcement.
What it is and what it does
This is Google's official Python client for Access Context Manager, a GCP service that enforces attribute-based access control on requests to Google Cloud resources. It wraps the underlying API in a Python-friendly interface, handling authentication, serialization, and RPC communication through its dependencies on google-api-core and protobuf.
The library is used to programmatically define, query, and manage access policies based on device attributes, user identity, and network context. It's part of Google's broader identity and access management ecosystem and is maintained as part of the google-cloud-python monorepo. The package is actively developed, supports current Python versions (3.10 through 3.14), and carries no known security vulnerabilities.
Use it for
- Define and enforce attribute-based access policies for GCP resources in a Python application.
- Query existing access policies and their enforcement status programmatically.
- Integrate access control logic into custom GCP management or compliance tools.
- Automate policy updates based on device posture, user identity, or network conditions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to manage GCP Access Context Manager policies from Python code.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It requires Python 3.10+ and valid GCP credentials, but those are reasonable prerequisites for a GCP-specific client library.
Install
google-cloud-access-context-manager on PyPI
Before you install
Low install friction with only two runtime dependencies (google-api-core and protobuf). Actively maintained with a recent release; repository is not archived and receives regular commits.
Requires Python >= 3.10; GCP project with Access Context Manager enabled and valid authentication credentials configured.
License in practice
Licensed under Apache 2.0 (permissive), allowing use in commercial and private projects with minimal restrictions.
Quickstart
pip install google-cloud-access-context-manager
from google.cloud import access_context_manager_v1
client = access_context_manager_v1.AccessContextManagerClient()
Verify before relying
- Whether this library is suitable for read-only access policy queries versus policy creation and management.
- Performance characteristics and rate limits when querying large numbers of access policies.
- Whether additional setup beyond GCP authentication is needed for policy enforcement.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesgoogle-api-coreprotobuf |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,163,202 / month, #4,282 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_access_context_manager-0.6.1-py3-none-any.whl
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See also google-cloud-resource-manager · google-cloud-dns · google-cloud-org-policy · google-cloud-service-usage · google-cloud-securitycenter · google-cloud-storage-control · google-cloud-parametermanager · google-cloud-certificate-manager · google-cloud-dlp · google-cloud-monitoring