google-cloud-recommender

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

Python client library for Google Cloud Recommender API, enabling programmatic access to cloud optimization recommendations across six value categories.

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

pip install google-cloud-recommender

uv add google-cloud-recommender

poetry add google-cloud-recommender

Installing google-cloud-recommender

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.

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 credentials

Requires Python >= 3.10; GCP project with Recommender API enabled and valid authentication credentials (service account or user credentials).

Verify 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

Evidence: google_cloud_recommender-2.22.0-py3-none-any.whl

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