With 'DATA' being 'the currency of the IOT', having a proper data-sharing technology will be a key-asset in any IOT-platform.

Eclipse Xsemantics is a DSL (implemented in Xtext itself) for writing type systems, reduction rules, interpreters and general relation rules for languages implemented in Xtext. A system definition in Xsemantics is a set of judgment rules which have a conclusion and a set of premises. Xsemantics then generates Java code that can be used in your Xtext-based language for scoping and validation.

Eclipse Xpect is a unit- and integration-testing framework to be used for Xtext-based languages. Test data (e.g. expectations) are embedded into programs written in the DSL under tests. Xpect itself is based on Junit; new test methods can be written in Java and are called by the Xpect framework with the test data.

Eclipse aCute provide development tools for C# and .NET Core inside the Eclipse IDE.

OpenJ9 is a high performance, enterprise calibre, flexibly licensed, openly governed cross platform Java Virtual Machine extending and augmenting the runtime technology components from the Eclipse OMR project ( and OpenJDK project (

It is highly optimized for fast startup, low memory footprint, quick ramp-up, and excellent throughput performance, both in dedicated as well as cloud deployments.

The Eclipse BIG IoT project aims at igniting an IoT ecosystem by introducing an API (BIG IoT API) for interoperability and an online marketplace (BIG IoT Marketplace) for providers to offer and monetize their IoT resources (data and services) and for consumers to discover them and access them from their applications and services.

The goal of Eclipse Deeplearning4j is to provide a core set of components for building applications that incorporate AI. AI products within an enterprise often have a wider scope than just machine learning. The overall goal of a distribution is to provide smart defaults for building deep learning applications.

Picasso is a free open-source (Eclipse Public License) web application written in Python for rendering standard visualizations useful for training convolutional neural networks. Picasso ships with occlusion maps and saliency maps, two visualizations which help reveal issues that evaluation metrics like loss and accuracy might hide: for example, learning a proxy classification task.

Eclipse Duttile looks at the world of the Internet of Things in a holistic manner, suggesting an approach in which the various elements are part of a single integrated process. It proposes a new cross-domain methodology that aims to provide adequate tools for the governance of the IoT projects, building the experience gained until now, in a jointly and reasoned way. The core approaches became from the world of software and hardware development, both different but always complementary.

This project aims to provide a middleware for industrial automation which realizes Industrie 4.0 concepts using existing technologies like OPC-UA and oneM2M. One essential element of this middleware is a virtual function bus which abstracts from underlying network technologies, similar to the approach chosen in AUTOSAR.