22 packages returned for Tags:"Twin"

Core classes and interfaces that support the ScaleOut Digital Twin Streaming Service™.

Microsoft Azure Iot Digital Twin Model parser. It parses the Digital Twin Interfaces and CapabilityModel jsonLd documents

This package contains shared classes and interfaces that are used by other ScaleOut DigitalTwin Builder™ Toolkit components.

This package contains all necessary components for developing digital twin models and loading them into ScaleOut StreamServer™ for use in processing incoming messages from data sources.

This package contains all necessary components to connect ScaleOut StreamServer™ to Microsoft Azure IoT Hub for receiving and processing messages from data sources by instances of digital twin models deployed... More information

Microsoft Azure IoT Digital Twin Language definition.

Provides the ADTModelGenerator command-line utility to inspect a zip file containing a RTDT model and generate an Azure Digital Twins JSON model definition.

This package allows real-time digital twins sending notification or alert messages to the monitoring services such as Splunk On-Call™, PagerDuty™, or Slack™.

This package contains all necessary components for developing real-time digital twin models and testing them in a mock environment.

ScaleOut Digital Twin Streaming Service™ client library for .NET Core.

Provides the DT command line tool for packaging and deployment of digital twin models.

Digital Twin Device SDK for Azure IoT Hub

ScaleOut Digital Twin hosting support.

Agent Cooper as a NuGet package

Digital Twin Service SDK for Azure IoT Hub

This is the client library for the Twin API of the Tributech DataSpace Kit (DSK). For more information go to the documentation (https://docs.tributech.io/) or view the repository on GitHub... More information

Components for developing real-time digital twin models and testing them in a mock environment.

This is the client library for the Catalog API of the Tributech DataSpace Kit (DSK). For more information go to the documentation (https://docs.tributech.io/) or view the repository on GitHub... More information

This package allows real-time digital twins to use Machine Learning algorithms for anomaly detection.

A lightweight, in-process environment that can be used for debugging and testing your ScaleOut Digital Twin projects.