Python Cloud Client Libraries

The Cloud Client Libraries are the recommended way to access Google Cloud APIs programmatically. The Cloud Client Libraries support accessing Google Cloud services in a way that significantly reduces the boilerplate code you have to write. The libraries provide high-level API abstractions so they're easier to understand. They embrace idioms of the language, work well with the standard library, and integrate better with your codebase.

For more information about client libraries for Cloud APIs, see Cloud Client Libraries explained.

Click an API to find out how to use it in Python:

Libraries
AI Platform google-cloud-aiplatform
AI Platform Data Labeling Service google-cloud-datalabeling
API Gateway google-cloud-api-gateway
API Keys API google-cloud-api-keys
Access Approval google-cloud-access-approval
Access Context Manager google-cloud-access-context-manager
Address Validation API google-maps-addressvalidation
Advisory Notifications google-cloud-advisorynotifications
Agent Platform Workbench google-cloud-notebooks
Agent Registry google-cloud-agentregistry
AlloyDB for PostgreSQL google-cloud-alloydb
google-cloud-alloydb-connectors
Analytics Admin API google-analytics-admin
Analytics Data API google-analytics-data
Analytics Hub API google-cloud-bigquery-analyticshub
google-cloud-bigquery-data-exchange
Apigee API hub google-cloud-apihub
Apigee Connect API google-cloud-apigee-connect
App Engine Admin API google-cloud-appengine-admin
App Hub google-cloud-apphub
App Optimize API google-cloud-appoptimize
App Topology google-cloud-apptopology
Artifact Registry google-cloud-artifact-registry
Assured Workloads google-cloud-assured-workloads
Audit Manager google-cloud-auditmanager
AutoML google-cloud-automl
Backup and DR google-cloud-backupdr
Backup for GKE google-cloud-gke-backup
Bare Metal Solution google-cloud-bare-metal-solution
Batch google-cloud-batch
BigQuery Connection API