Proposals
Eclipse Trace Compass Cloud
Eclipse Trace Compass Cloud provides tools and components that facilitate the adoption of cloud-based trace analysis and visualization use cases.
The scope of the project includes the following:
Trace Server Protocol (TSP) specification
A client-side library implementation of the TSP in Typescript
A client-side library implementation of the TSP in Python
Generic client front-end implementation in Typescript
The Eclipse Patchwork Kilt blueprint aims to demonstrate how data centres can meet the zero-waste industry goals for circularity with over 90% dematerialisation. It will also showcase how solutions can contribute to the global goal of 80% decarbonisation. This can happen by working across three pillars:
Eclipse AAS Model in Java implements the specification of the Asset Administration Shell (AAS) such as metamodels, submodels, serialization and deserialization modules, validators, and transformation libraries based on the AAS specifications. It also contains all classes and properties as defined by the document 'Details of the Asset Administration Shell' published on www.plattform-i40.de.
Eclipse AASX Package Explorer is a viewer / editor for the Asset Administration Shell. Eclipse AASX Package Explorer is a tool with graphical user interface meant for experimenting and demonstrating the potential of Asset Administration Shells targeting tech-savvy and less technically-inclined users. The Eclipse AASX Package Explorer also includes an internal REST server and OPC UA server for the loaded .AASX.
Eclipse Gran Sasso is a pilot project that predicts performance of cloud-native enterprise Java applications and traditional application servers using AI/ML techniques. By building deep learning models and using associated ML tools, we will be able to prescribe optimal resource allocation and costs for given user loads.
The goal of Eclipse Graphene is to make AI and machine learning accessible to a wide audience by creating an extensible marketplace of reusable solutions, sourced from a variety of AI toolkits and languages that ordinary developers, who are not machine-learning experts or data scientists, can easily use to create their own applications.
This project provides an implementation of Jakarta CDI-lite specification based on Micronaut framework.
Eclipse POOSL (Parallel Object-Oriented Specification Language, https://www.es.ele.tue.nl/premadona/publications/TFGHPV07.pdf) and the accompanying tools offer a general purpose method for describing and simulating (embedded) system architectures for the early evaluation of key structural and behavioral concepts, requirements and performance.
The main goal of Jakarta RPC project is to make gRPC easier to use within Jakarta EE ecosystem, by allowing developers to define gRPC services and clients the same way they are defining REST services and clients today -- via annotated classes (a la JAX-RS) on the server, and annotated interfaces (a la Eclipse MicroProfile REST Client) on the client -- and by making them easier to integrate with existing Jakarta EE technologies, such as CDI and Config.
The project will contain:
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The core python framework (creates the testing environment and run the tests)
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Plugins for the core framework (functionalities that can be used for creating the testing environment and used by the running tests)
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Additional libraries for different target platforms (e.g., stm32, ...) or languages (C, C++, ...) that enable you to deploy tests on different targets.