google-cloud-deploy
Google Cloud Deploy API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for Cloud Deploy with low install friction, permissive licensing, no known vulnerabilities, and production-stable status. Install it if you need to programmatically manage Cloud Deploy pipelines from Python; skip it if you only use the Google Cloud Console or have no Cloud Deploy workloads.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud credentials configured (via GOOGLE_APPLICATION_CREDENTIALS environment variable or Application Default Credentials) and an active Google Cloud project with Cloud Deploy enabled.
- Low friction installation with a pure Python wheel.
- Actively maintained as of 2026-06-03 with recent commits.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,339 downloads/mo, #11,438 on PyPI
Alternatives
Verify before relying
pip install google-cloud-deploy
from google.cloud import deploy_v1
client = deploy_v1.CloudDeployClient()
projects = client.list_projects(parent='projects/YOUR_PROJECT_ID')- Whether the library supports all Cloud Deploy API operations or a subset of the service's capabilities.
- Performance characteristics and rate-limiting behavior for large-scale deployments.
- Whether async/await patterns are supported for non-blocking operations.
What it is and what it does
This is the official Python client library for Google Cloud Deploy, a managed service that automates application delivery to sequences of target environments. It wraps the Cloud Deploy API, allowing developers to programmatically create, manage, and monitor deployment pipelines directly from Python code rather than through the Google Cloud Console.
The library handles authentication, request serialization, and response parsing through its dependencies on google-api-core, google-auth, and gRPC libraries. It's designed for developers integrating Cloud Deploy into CI/CD workflows, infrastructure-as-code systems, or custom deployment orchestration tools. The library maintains active support for current Python versions (3.10 through 3.14) and follows Google Cloud's standard patterns for logging and error handling.
Use it for
- Automate multi-environment deployments in CI/CD pipelines by programmatically creating and triggering Cloud Deploy releases.
- Build custom deployment orchestration tools that manage application rollouts across dev, staging, and production environments.
- Monitor and query deployment status and history from Python applications or dashboards.
- Integrate Cloud Deploy into infrastructure-as-code frameworks that need to manage application delivery alongside infrastructure.
- Implement approval workflows and deployment gates by querying and updating deployment pipeline state.
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 for Cloud Deploy with low install friction, permissive licensing, no known vulnerabilities, and production-stable status. Install it if you need to programmatically manage Cloud Deploy pipelines from Python; skip it if you only use the Google Cloud Console or have no Cloud Deploy workloads.
Install
google-cloud-deploy on PyPI
Before you install
Low friction installation with a pure Python wheel. Actively maintained as of 2026-06-03 with recent commits. Requires Python >= 3.10 and depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1).
Requires Google Cloud credentials configured (via GOOGLE_APPLICATION_CREDENTIALS environment variable or Application Default Credentials) and an active Google Cloud project with Cloud Deploy enabled.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install google-cloud-deploy
from google.cloud import deploy_v1
client = deploy_v1.CloudDeployClient()
projects = client.list_projects(parent='projects/YOUR_PROJECT_ID')Verify before relying
- Whether the library supports all Cloud Deploy API operations or a subset of the service's capabilities.
- Performance characteristics and rate-limiting behavior for large-scale deployments.
- Whether async/await patterns are supported for non-blocking operations.
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 | 135,339 / month, #11,438 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_deploy-2.11.0-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 deploy client”
- google-cloud-deployPython client library for Google Cloud Deploy, enabling programmatic…
- google-cloud-workflowsPython client library for Google Cloud Workflows that lets you manage…
- google-cloud-automlPython client library for Google Cloud AutoML, enabling programmatic…
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-functions · google-cloud-build · google-cloud-run · google-cloud-automl · odg-client · google-cloud-tasks · google-cloud-workflows · google-cloud-dataflow-client · google-cloud-api-keys · google-cloud-container