google-cloud-recommender
Google Cloud Recommender API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for Google Cloud Recommender with low install friction, permissive licensing, no known vulnerabilities, and production-stable status. Install it if you need programmatic access to GCP recommendations; skip it if you only use the web console or have no GCP Recommender use case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10; GCP project with Recommender API enabled and valid authentication credentials (service account or user credentials).
- Low friction: pure Python wheel with standard Google Cloud dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf).
- Active maintenance with recent release (53 days old) and steady repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production environments.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 85,579 downloads/mo, #13,914 on PyPI
Alternatives
Verify before relying
pip install google-cloud-recommender
from google.cloud import recommender_v1
client = recommender_v1.RecommenderClient()
# Requires GCP project setup and authentication credentials- Which specific recommendation categories are included in the 'six value categories' mentioned in the description.
- Whether the library supports streaming recommendations or only batch retrieval.
- Performance characteristics and rate limits for typical workloads.
What it is and what it does
This is the official Python client for Google Cloud Recommender, a managed service that generates optimization recommendations for your cloud infrastructure. The library wraps the Recommender API and provides typed Python interfaces for retrieving, filtering, and acting on recommendations across multiple optimization domains.
You use it to programmatically access recommendations that Google Cloud generates based on your resource usage patterns and best practices. The library handles authentication, API communication via gRPC, and serialization of recommendation data. It requires Python 3.10 or later and depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf for core functionality.
Use it for
- Retrieve cost optimization recommendations to identify unused resources and reduce cloud spending.
- Fetch security recommendations to identify misconfigurations and compliance gaps in your GCP environment.
- Integrate recommendations into internal dashboards or reporting systems for cloud governance teams.
- Automate remediation workflows by querying recommendations and triggering corrective actions.
- Monitor recommendation trends over time to track infrastructure optimization progress.
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 Google Cloud Recommender with low install friction, permissive licensing, no known vulnerabilities, and production-stable status. Install it if you need programmatic access to GCP recommendations; skip it if you only use the web console or have no GCP Recommender use case.
Install
google-cloud-recommender on PyPI
Before you install
Low friction: pure Python wheel with standard Google Cloud dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf). Active maintenance with recent release (53 days old) and steady repository activity.
Requires Python >= 3.10; GCP project with Recommender API enabled and valid authentication credentials (service account or user credentials).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production environments.
Quickstart
pip install google-cloud-recommender
from google.cloud import recommender_v1
client = recommender_v1.RecommenderClient()
# Requires GCP project setup and authentication credentialsVerify before relying
- Which specific recommendation categories are included in the 'six value categories' mentioned in the description.
- Whether the library supports streaming recommendations or only batch retrieval.
- Performance characteristics and rate limits for typical workloads.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 85,579 / month, #13,914 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_recommender-2.22.0-py3-none-any.whl
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See also google-cloud-recommendations-ai · google-cloud-discoveryengine · google-cloud-functions · google-cloud-monitoring · google-cloud-vectorsearch · google-cloud-build · google-cloud-tasks · google-cloud-retail · google-cloud-resource-manager · google-maps-routeoptimization