Discovery Engine API. Note that google-cloud-discovery_engine-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-discovery_engine instead. See the readme for more details.

Discovery Engine API. Note that google-cloud-discovery_engine-v1beta is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-discovery_engine instead. See the readme for more details.

Provides methods for detection of privacy-sensitive fragments in text, images, and Google Cloud Platform storage repositories. Note that google-cloud-dlp-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dlp instead. See the readme for more details.

Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.

Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.

Eventarc lets you asynchronously deliver events from Google services, SaaS, and your own apps using loosely coupled services that react to state changes. Eventarc requires no infrastructure management — you can optimize productivity and costs while building a modern, event-driven solution. Note that google-cloud-eventarc-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-eventarc instead. See the readme for more details.

Filestore instances are fully managed NFS file servers on Google Cloud for use with applications running on Compute Engine virtual machine (VM) instances, Google Kubernetes Engine clusters, external datastores such as Google Cloud VMware Engine, or your on-premises machines. Note that google-cloud-filestore-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-filestore instead. See the readme for more details.

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

The Cloud Functions API manages lightweight user-provided functions executed in response to events. Note that google-cloud-functions-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-functions instead. See the readme for more details.

The GKE Hub API centrally manages features and services on all your Kubernetes clusters running in a variety of environments, including Google cloud, on premises in customer datacenters, or other third party clouds. Note that google-cloud-gke_hub-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-gke_hub instead. See the readme for more details.

Cloud Life Sciences is a suite of services and tools for managing, processing, and transforming life sciences data. It also enables advanced insights and operational workflows using highly scalable and compliant infrastructure. Note that google-cloud-life_sciences-v2beta is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-life_sciences instead. See the readme for more details.

Google Cloud Memorystore for Memcached API is used for creating and managing Memcached instances in GCP. Note that google-cloud-memcache-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-memcache instead. See the readme for more details.

Google Cloud Memorystore for Memcached API is used for creating and managing Memcached instances in GCP. Note that google-cloud-memcache-v1beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-memcache instead. See the readme for more details.

Dataproc Metastore is a fully managed, highly available within a region, autohealing serverless Apache Hive metastore (HMS) on Google Cloud for data analytics products. It supports HMS and serves as a critical component for managing the metadata of relational entities and provides interoperability between data processing applications in the open source data ecosystem. Note that google-cloud-metastore-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-metastore instead. See the readme for more details.

Dataproc Metastore is a fully managed, highly available within a region, autohealing serverless Apache Hive metastore (HMS) on Google Cloud for data analytics products. It supports HMS and serves as a critical component for managing the metadata of relational entities and provides interoperability between data processing applications in the open source data ecosystem. Note that google-cloud-metastore-v1beta is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-metastore instead. See the readme for more details.

Network Connectivity is Google's suite of products that provide enterprise connectivity from your on-premises network or from another cloud provider to your Virtual Private Cloud (VPC) network. Note that google-cloud-network_connectivity-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-network_connectivity instead. See the readme for more details.

The Network Management API provides a collection of network performance monitoring and diagnostic capabilities. Note that google-cloud-network_management-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-network_management instead. See the readme for more details.

AI Platform Notebooks makes it easy to manage JupyterLab instances through a protected, publicly available notebook instance URL. A JupyterLab instance is a Deep Learning virtual machine instance with the latest machine learning and data science libraries pre-installed. Note that google-cloud-notebooks-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-notebooks instead. See the readme for more details.

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

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