Cloud Resource Manager Client Library for Node.js
Resource util used by other @google-cloud/opentelemetry* packages
Secrets client for Node.js
OpenTelemetry Google Cloud Monitoring Exporter allows the user to send collected metrics to Google Cloud Monitoring.
cloudresourcemanager
A Pulumi package for creating and managing Google Cloud Platform resources.
OpenTelemetry resource detector for Alibaba Cloud
Vertex Generative AI client for Node.js
DataFire integration for Google Cloud Resource Manager
[](https://www.npmjs.com/package/@google/genai) [](https://www.npmjs.com/package/@google/genai)
OpenTelemetry Google Cloud Trace Exporter allows the user to send collected traces to Google Cloud Trace.
OpenTelemetry SDK resource detector for GCP
Google APIs Authentication Client Library for Node.js
Cloud Storage Client Library for Node.js
A result paging utility used by Google node.js modules
A simple utility for promisifying functions and classes.
A simple utility for replacing the projectid token in objects.
Google APIs Client Library for Node.js
Google auth based authentication support for Google services
Common components for Cloud APIs Node.js Client Libraries
Firestore Client Library for Node.js
OCI NodeJS client for Resource manager Service
Cloud Pub/Sub Client Library for Node.js
certificatemanager client for Node.js
Creates, reads, and updates metadata for Google Cloud Platform resource containers.
Google Cloud provides container resources such as organizations and projects that allow you to group and hierarchically organize other Google Cloud resources. This hierarchical organization helps you manage common aspects of your resources, such as access control and configuration settings. The Resource Manager API enables you to programmatically manage these container resources. Note that google-cloud-resource_manager-v3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-resource_manager instead. See the readme for more details.
An add-on interface used by some Google API clients to provide IAM Policy calls. Note that google-iam-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-iam instead. See the readme for more details.
A metadata inventory service that allows you to view, monitor, and analyze all your GCP and Anthos assets across projects and services. Note that google-cloud-asset-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-asset instead. See the readme for more details.
Database Migration Service makes it easier for you to migrate your data to Google Cloud. Database Migration Service helps you lift and shift your MySQL and PostgreSQL workloads into Cloud SQL. Database Migration Service streamlines networking workflow, manages the initial snapshot and ongoing replication, and provides a status of the migration operation. Note that google-cloud-cloud_dms-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-cloud_dms instead. See the readme for more details.
Google Cloud Batch is a fully managed service used by scientists, VFX artists, developers to easily and efficiently run batch workloads on Google Cloud. This service manages provisioning of resources to satisfy the requirements of the batch jobs for a variety of workloads including ML, HPC, VFX rendering, transcoding, genomics and others. Note that google-cloud-batch-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-batch 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 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.
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.
Creates and manages Google Cloud Platform resources and infrastructure.
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.
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.
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