The goal of Eclipse Keyple is to allow developers to easily implement fast and secure off-line contactless transactions (using NFC cards, mobile phones, …) based on the Calypso standard.
More specifically, Keyple is a set of open source libraries that will initially be available in Java and C++, designed on the same mutual Object-Oriented Model compatible with any terminal architecture: mobile, embedded or server and Interoperable with any smart card reader solution: standard or proprietary, local or remote.
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 (www.eclipse.org/omr) and OpenJDK project (openjdk.java.net).
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 Bridge.IoT project aims at igniting an IoT ecosystem by introducing an API (Bridge.IoT API) for interoperability and an online marketplace (Bridge.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.
Hybrid classical-quantum computing paradigms are posed to benefit the scientific applications that are ubiquitous within the scientific computing research community, including modeling and simulation of quantum many-body systems, applied math, and data analytics. However, developing quantum-classical hybrids that integrate quantum algorithmic statements alongside conventional programming models is an outstanding technical challenge.
The digital logbook is the main source of information in the central network control unit (CNCU) for the manual logging of events and operations which are not recorded automatically in the control system. In addition to the use for the structured transfer of information during the change of shifts, the company's digital logbook is to be used as an expanded resource for the work organization in the CNCU and as an information medium for the well-directed transfer of information from supervisors to employees. The project technically bases on the openK Platform.
Eclipse Simulation of Urban Mobility (SUMO) is a free and open traffic simulation toolsuite. SUMO allows modelling and analyzing intermodal traffic systems, including road vehicles, public transport, cargo logistics and pedestrians. Included with SUMO is a wealth of supporting tools, which handle tasks like route finding, visualization, network import and emission calculation. SUMO can be enhanced with custom models and it provides various APIs to remotely control and influence the simulation.