gcloud
API Client library for Google Cloud
Decision gist · record as of 2026-08-14
No. Do not install gcloud. The package is deprecated, unmaintained since 2016, and officially superseded by google-cloud on PyPI. Any new project should use google-cloud instead. Existing projects using gcloud should migrate to the current package to receive security updates and ongoing support.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- This package is deprecated and unmaintained.
- Google has moved all development to the google-cloud package on PyPI.
- Installing gcloud will not receive security updates or bug fixes.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), which allows commercial and private use with minimal restrictions, but this is moot given the package's deprecated status.
last release 2016-09-23 (3612 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 513,592 downloads/mo, #6,244 on PyPI
Alternatives
Verify before relying
# gcloud is deprecated; use google-cloud instead
# For reference, the old pattern was:
# pip install gcloud
# from gcloud import datastore
# entity = datastore.Entity(key=datastore.Key('Kind'))
# query = datastore.Query(kind='Kind')
# for result in query.fetch():
# print(result)- Whether any production systems still depend on gcloud 0.18.3 and what migration path exists to google-cloud
- Whether the repository remains archived or if any maintenance has resumed since the last recorded commit
What it is and what it does
gcloud was a unified Python client library for multiple Google Cloud Platform services, providing idiomatic interfaces to Datastore (NoSQL database), Cloud Storage (object storage), Pub/Sub (messaging), BigQuery (data warehouse), Resource Manager, and Stackdriver Logging. It abstracted away the low-level REST API details and offered Pythonic object models for common cloud operations.
However, this package is deprecated and has been officially renamed to google-cloud on PyPI. No new releases will be made for gcloud. The last release (0.18.3) dates to 2016-09-23, making it nearly a decade old. Installing this package will not receive security patches, bug fixes, or support for new GCP services. Any new project should use the google-cloud package instead.
Use it for
- Querying and storing entities in Google Cloud Datastore (legacy projects only)
- Uploading and downloading files from Google Cloud Storage buckets (legacy projects only)
- Publishing and subscribing to messages via Google Cloud Pub/Sub (legacy projects only)
- Running SQL queries against BigQuery datasets (legacy projects only)
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
Do not install gcloud. The package is deprecated, unmaintained since 2016, and officially superseded by google-cloud on PyPI. Any new project should use google-cloud instead. Existing projects using gcloud should migrate to the current package to receive security updates and ongoing support.
Install
gcloud on PyPI
Before you install
High install friction; package is deprecated and no longer maintained. The description explicitly warns that this package has been renamed to google-cloud on PyPI with no new releases planned for gcloud. Last release was 2016-09-23, making it significantly outdated.
This package is deprecated and unmaintained. Google has moved all development to the google-cloud package on PyPI. Installing gcloud will not receive security updates or bug fixes.
License in practice
Licensed under Apache 2.0 (permissive), which allows commercial and private use with minimal restrictions, but this is moot given the package's deprecated status.
Quickstart
# gcloud is deprecated; use google-cloud instead
# For reference, the old pattern was:
# pip install gcloud
# from gcloud import datastore
# entity = datastore.Entity(key=datastore.Key('Kind'))
# query = datastore.Query(kind='Kind')
# for result in query.fetch():
# print(result)Verify before relying
- Whether any production systems still depend on gcloud 0.18.3 and what migration path exists to google-cloud
- Whether the repository remains archived or if any maintenance has resumed since the last recorded commit
Package facts
| License | Apache 2.0 permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Actively maintained 3,612 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 513,592 / month, #6,244 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 :: Python :: 2Programming Language :: Python :: 2.6Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Topic :: Internet |
Evidence: gcloud-0.18.3.tar.gz
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 platform python client”
- gcloudProvides Python client libraries for Google Cloud Platform services…
- google-cloudA deprecated umbrella package that once provided unified access to…
- grpc-google-iam-v1Provides gRPC-based Python client bindings for Google Cloud IAM,…
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 · google-cloud-pubsub · google-compute-engine · google-cloud-pubsublite · google-cloud-datastore · appengine-python-standard · google-cloud-bigquery-logging · google-cloud-bigquery · google-cloud-jupyter-config · gcp-storage-emulator