Dataplex is an intelligent data fabric that provides a way to centrally manage, monitor, and govern your data across data lakes, data warehouses and data marts, and make this data securely accessible to a variety of analytics and data science tools. Note that google-cloud-dataplex-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dataplex 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.

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.

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.

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.

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 Cloud Functions API manages lightweight user-provided functions executed in response to events. Note that google-cloud-functions-v2 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.

Backup for GKE lets you protect, manage, and restore your containerized applications and data for stateful workloads running on Google Kubernetes Engine clusters. Note that google-cloud-gke_backup-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-gke_backup 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.

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.

The client library for the Google Network Security V1beta1 API. Note that google-cloud-network_security-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-network_security 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-v1 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.

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.

Notebooks API is used to manage notebook resources in Google Cloud. Note that google-cloud-notebooks-v2 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.

google-cloud-policy_troubleshooter-iam-v3 is the official client library for the Policy Troubleshooter V3 API. Note that google-cloud-policy_troubleshooter-iam-v3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-policy_troubleshooter-iam instead. See the readme for more details.

Regionally deployed, single-tenant managed source code repository hosted on Google Cloud. Note that google-cloud-secure_source_manager-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-secure_source_manager instead. See the readme for more details.

Certificate Authority Service is a highly available, scalable Google Cloud service that enables you to simplify, automate, and customize the deployment, management, and security of private certificate authorities (CA). Note that google-cloud-security-private_ca-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-security-private_ca instead. See the readme for more details.