Generative Language API client for Node.js
Google APIs Authentication Client Library for Node.js
Google Cloud Key Management Service (KMS) API client for Node.js
Google Cloud Natural Language API client 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 Cloud Vision API client for Node.js
Google APIs Client Library for Node.js
Cloud Translation API Client Library for Node.js
Cloud Text-to-Speech API client for Node.js
Common components for Cloud APIs Node.js Client Libraries
Firestore Client Library for Node.js
Cloud Speech Client Library for Node.js
Cloud Build API client for Node.js
Cloud Pub/Sub Client Library for Node.js
Sql client for Node.js
Cloud Logging Client Library for Node.js
Functions client for Node.js
Genkit AI framework plugin for Google Cloud Platform including Firestore trace/state store and deployment helpers for Cloud Functions for Firebase.
Model Armor API client for Node.js
Cloud Scheduler API client for Node.js
Google BigQuery Client Library for Node.js
A Google APIs client library generated by tonic-build
A Google APIs client library generated by tonic-build
A Google APIs client library generated by tonic-build
Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations. Note that google-cloud-language-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.
The Cloud Trace API lets you send and retrieve latency data to and from Cloud Trace. This API provides low-level interfaces for interacting directly with the feature. For some languages, you can use OpenTelemetry, a set of open source tracing and stats instrumentation libraries that work with multiple backends. Note that google-cloud-trace-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-trace instead. See the readme for more details.
Text-to-Speech converts text or Speech Synthesis Markup Language (SSML) input into audio data of natural human speech. Note that google-cloud-text_to_speech-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-text_to_speech instead. See the readme for more details.
Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes more than 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google's machine learning technology. Note that google-cloud-speech-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-speech instead. See the readme for more details.
This is the simple REST client for Cloud Natural Language API V1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Cloud Natural Language API, but note that some services may provide a separate modern client that is easier to use.
Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations. Note that google-cloud-language-v1beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.
The Apigee Registry API allows teams to upload and share machine-readable descriptions of APIs that are in use and in development. These descriptions include API specifications in standard formats like OpenAPI, the Google API Discovery Service Format, and the Protocol Buffers Language. These API specifications can be used by tools like linters, browsers, documentation generators, test runners, proxies, and API client and server generators. The Registry API itself can be seen as a machine-readable enterprise API catalog designed to back online directories, portals, and workflow managers. Note that google-cloud-apigee_registry-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-apigee_registry instead. See the readme for more details.
The Gemini Data Analytics API enables developers to build intelligent data analytics applications. Leverage AI-powered chat interfaces to allow users to interact with and analyze structured data using natural language. Note that google-cloud-gemini_data_analytics-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-gemini_data_analytics instead. See the readme for more details.
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