ScaleOut Launches Open-Source APIs for Digital Twins

The workbench enables fast development and testing of digital twin applications before deployment.

The workbench enables fast development and testing of digital twin applications before deployment.

ScaleOut Software announces a new open-source release of its digital twin application programming interfaces and development workbench for its ScaleOut Digital Twins hosting platform. The workbench enables fast development and testing of digital twin applications before deployment. To help accelerate development of digital twin applications, ScaleOut Software is releasing these components as open source under the Apache 2.0 license.

“We are excited to open source our digital twin APIs and new development workbench so that application developers can easily use digital twins to create a new generation of applications,” says William Bain, ScaleOut Software’s CEO and founder. “These freely accessible software components should simplify and accelerate the development of digital twin applications and encourage community participation.”

The ScaleOut Digital Twins platform uses scalable, in-memory computing technology to host thousands of digital twins for monitoring real-time data from Internet of Things devices and other data sources, enabling real-time analytics that provides actionable results in seconds. The platform also runs large-scale simulations that aid in the design of complex systems, such as airline logistics and traffic control networks, the company reports.

Application developers use ScaleOut’s open-source APIs to build digital twin models for deployment on the ScaleOut Digital Twins platform. They can use the open-source workbench to test application code built using these APIs and gain immediate feedback that shortens the design cycle. Once tested, developers can deploy applications on the platform to run at scale with thousands of digital twins.

Key Features and Benefits

Easily Build Digital Twin Models: ScaleOut’s open-source APIs enable developers to build digital twin models in Java or C#. These models serve as templates for creating digital twins. The APIs employ standard, object-oriented design principles to simplify development and avoid use of specialized or platform-specific techniques.

Easily Test Digital Twin Models: ScaleOut’s open-source workbench lets developers test their digital twin models for real-time monitoring and simulation in the user’s native development and test environment. The workbench accelerates application development by avoiding the need to deploy models to the hosting platform during the development process, the company says.

Ease of Access and Flexibility: Because ScaleOut’s digital twin APIs and workbench are freely available as open-source components, developers can download them at no cost and immediately start building digital twin applications. These APIs can also serve as the basis for creating digital twins that run on other platforms and provide cross-platform compatibility.

Enable High Performance: ScaleOut’s digital twin model simplifies hosting on scalable, in-memory computing platforms. In-memory hosting dramatically reduces latency when digital twins access state information or process messages for real-time analytics and simulation. It also enables high processing rates that support the creation of thousands of digital twins.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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