Cloud Quotas API provides Google Cloud service consumers with management and observability for resource usage, quotas, and restrictions of the services they consume. Note that google-cloud-cloud_quotas-v1beta is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-cloud_quotas instead. See the readme for more details.

Enables consumers to procure products served by Cloud Marketplace platform. Note that google-cloud-commerce-consumer-procurement-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-commerce-consumer-procurement instead. See the readme for more details.

Attestation verifier for Confidential Space. Note that google-cloud-confidential_computing-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-confidential_computing instead. See the readme for more details.

Creates and manages Google Cloud Platform resources and infrastructure. Note that google-cloud-config_service-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-config_service instead. See the readme for more details.

Creates and manages Google Cloud Platform resources and infrastructure. Note that google-cloud-config-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-config instead. See the readme for more details.

Contact Center AI Insights helps users detect and visualize patterns in their contact center data. Understanding conversational data drives business value, improves operational efficiency, and provides a voice for customer feedback. Note that google-cloud-contact_center_insights-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-contact_center_insights instead. See the readme for more details.

The Container Analysis API is an implementation of Grafeas. It stores, and enables querying and retrieval of, critical metadata about all of your software artifacts. Note that google-cloud-container_analysis-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-container_analysis instead. See the readme for more details.

Data Catalog is a centralized and unified data catalog service for all your Cloud resources, where users and systems can discover data, explore and curate its semantics, understand how to act on it, and help govern its usage. Note that google-cloud-data_catalog-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_catalog instead. See the readme for more details.

Dataflow is a managed service for executing a wide variety of data processing patterns. Note that google-cloud-dataflow-v1beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dataflow instead. See the readme for more details.

Dataform is a service for data analysts to develop, test, version control, and schedule complex SQL workflows for data transformation in BigQuery. Note that google-cloud-dataform-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dataform instead. See the readme for more details.

Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service for quickly building and managing data pipelines. Note that google-cloud-data_fusion-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_fusion instead. See the readme for more details.

AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models. Note that google-cloud-data_labeling-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_labeling instead. See the readme for more details.

Manages Hadoop-based clusters and jobs on Google Cloud Platform. Note that google-cloud-dataproc-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dataproc instead. See the readme for more details.

Manages Hadoop-based clusters and jobs on Google Cloud Platform. Note that google-cloud-dataproc-v1beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dataproc instead. See the readme for more details.

Data QnA is a natural language question and answer service for BigQuery data. Note that google-cloud-dataqna-v1alpha is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dataqna instead. See the readme for more details.

Firestore in Datastore mode is a NoSQL document database built for automatic scaling, high performance, and ease of application development. Note that google-cloud-datastore-admin-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-datastore-admin instead. See the readme for more details.

Datastream is a serverless and easy-to-use change data capture (CDC) and replication service. It allows you to synchronize data across heterogeneous databases and applications reliably, and with minimal latency and downtime. Note that google-cloud-datastream-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-datastream instead. See the readme for more details.

Datastream is a serverless and easy-to-use change data capture (CDC) and replication service. It allows you to synchronize data across heterogeneous databases and applications reliably, and with minimal latency and downtime. Note that google-cloud-datastream-v1alpha1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-datastream instead. See the readme for more details.

The Cloud Debugger API allows applications to interact with the Google Cloud Debugger backends. It provides two interfaces: the Debugger interface and the Controller interface. The Controller interface allows you to implement an agent that sends state data -- for example, the value of program variables and the call stack -- to Cloud Debugger when the application is running. The Debugger interface allows you to implement a Cloud Debugger client that allows users to set and delete the breakpoints at which the state data is collected, as well as read the data that is captured. Note that google-cloud-debugger-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-debugger instead. See the readme for more details.

Google Cloud Deploy is a managed service that automates delivery of your applications to a series of target environments in a defined promotion sequence. Note that google-cloud-deploy-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-deploy instead. See the readme for more details.