google-cloud-artifact-registry
Google Cloud Artifact Registry API client library
Decision gist · record as of 2026-08-14
Yes. The library is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Install it if you need to interact with Google Cloud Artifact Registry from Python code; it is the canonical way to do so. Requires Python >= 3.10 and Google Cloud credentials.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10 and Google Cloud authentication credentials (via google-auth).
- Low install friction with a pure-wheel distribution.
- Maintained actively with recent releases and a stable codebase.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,168,848 downloads/mo, #2,717 on PyPI
Alternatives
Verify before relying
pip install google-cloud-artifact-registry
from google.cloud import artifactregistry_v1
client = artifactregistry_v1.ArtifactRegistryClient()
# Use client methods to interact with Artifact Registry- Whether the library supports all Artifact Registry repository types and operations beyond basic CRUD.
- Performance characteristics and rate-limiting behavior when managing large numbers of artifacts.
- Specific gRPC or proto-plus version constraints that might affect compatibility with other Google Cloud libraries.
What it is and what it does
google-cloud-artifact-registry is the official Python client for Google Cloud Artifact Registry, a managed service for storing and managing build artifacts at scale. It wraps the Artifact Registry API with gRPC and protocol buffers, providing typed Python methods to create repositories, upload artifacts, and manage artifact metadata without direct HTTP calls.
The library is built on google-api-core, google-auth, and grpcio, handling authentication and transport automatically. It targets modern Python versions (3.10+) and is actively maintained by Google. Use it when you need to automate artifact storage workflows, integrate artifact management into CI/CD pipelines, or query artifact metadata programmatically from Python.
Use it for
- Automate artifact uploads and versioning in CI/CD pipelines without manual console interaction.
- Query and list artifacts stored in Artifact Registry repositories from Python applications.
- Manage artifact repository configuration, permissions, and lifecycle policies programmatically.
- Integrate artifact storage into build orchestration or deployment automation scripts.
- Retrieve artifact metadata and dependencies for downstream build or deployment steps.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The library is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Install it if you need to interact with Google Cloud Artifact Registry from Python code; it is the canonical way to do so. Requires Python >= 3.10 and Google Cloud credentials.
Install
google-cloud-artifact-registry on PyPI
Before you install
Low install friction with a pure-wheel distribution. Maintained actively with recent releases and a stable codebase. Requires Python >= 3.10.
Requires Python >= 3.10 and Google Cloud authentication credentials (via google-auth).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install google-cloud-artifact-registry
from google.cloud import artifactregistry_v1
client = artifactregistry_v1.ArtifactRegistryClient()
# Use client methods to interact with Artifact RegistryVerify before relying
- Whether the library supports all Artifact Registry repository types and operations beyond basic CRUD.
- Performance characteristics and rate-limiting behavior when managing large numbers of artifacts.
- Specific gRPC or proto-plus version constraints that might affect compatibility with other Google Cloud libraries.
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 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,168,848 / month, #2,717 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_artifact_registry-1.22.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “google cloud artifact registry client”
- google-cloud-artifact-registryPython client library for Google Cloud Artifact Registry, enabling…
- google-cloud-containeranalysisPython client library for Google Cloud Container Analysis API,…
- keyrings.google-artifactregistry-authA keyring backend that authenticates to Google Cloud Artifact…
Give your agent the search over MCP, or paste the wish link into any chat.
More Internet packages
Botocore provides low-level, data-driven access to Amazon Web Services APIs, serving as the foundation for the AWS CLI and boto3 libraries.
Install it if you need programmatic access to AWS services.
Provides an async client for AWS services using botocore and aiohttp, allowing you to call AWS APIs asynchronously within asyncio-based applications.
Install it if you need to call AWS services from async Python code; it is the standard way to do so.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides a platform-independent file locking mechanism to coordinate access to files across processes and threads.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides common Protocol Buffer message definitions used across Google Cloud APIs, enabling Python clients to interact with Google services.
See also google-cloud-build · gto · oras · google-cloud-containeranalysis · google-cloud-functions · grafeas · keyrings.google-artifactregistry-auth · azure-containerregistry · google-cloud-resource-manager · google-cloud-filestore