Proposals

Eclipse Lyra is a modular, extensible web application framework for building desktop-like applications. It provides:

• Application and extension loader: Dynamic app registration and lifecycle, extension discovery and dependency resolution, and contribution registration.
• Contribution system: Declarative UI contributions (tabs, toolbars, commands, panes) targeting well-defined areas (e.g. sidebars, editor area, bottom panel).
• Command system: Context-aware commands with multiple handlers, key bindings, and exposure as tools for AI agents.
• Core services: Workspace (file system abstraction and persistence), settings, editor registry, task service, event bus, and dependency injection.
• Optional extensions: AI system (multi-provider LLMs, agents, tools), RAG, Monaco editor, notebook, Python terminal, Git, WebDAV, and others, loadable on demand.

The framework is built with TypeScript and Lit (web components standard). It is suitable as the base for desktop-style applications, coding environments, and other tooling that need a consistent UX model and extension story.

CORE-ETSP combines many-core RISC-V-based RTL with MRAM and thus creating a basis for the next generation ET Silicon Platform design. It can be deployed either in a traditional configuration with the host CPU accessing ETSP as an Intelligent RAM (replacing SRAM and Flash) via Hyperbus OR as a self-hosted array of microcontrollers (with or without a host CPU). 

When combined with the development platform (composed of various open upstream components), ETSP platform is a comprehensive solution for fast and low-power AI inference workloads at the edge. Multiple verticals and embedded AI systems in manufacturing, robotics and drones, and security systems may benefit from ETSP.

The Eclipse SDV Landscape project provides a comprehensive, visual, and continuously maintained overview of all Software-Defined Vehicle (SDV)–related projects hosted under the Eclipse Foundation. The project delivers a website that categorizes and presents Eclipse SDV projects in a clear, structured, and easily navigable way, supporting discover-ability, orientation, and communication across the SDV ecosystem.

The project builds on existing information of the Eclipse Foundation PMI and relies on existing official Eclipse Project APIs.

The Eclipse SDV Landscape is the official, community-maintained reference for the SDV Working Group and its stakeholders.

The project is providing 

1. Eclipse SDV Landscape public Website
   • Interactive visual overview of SDV projects
   • Hosted via Eclipse infrastructure or approved hosting
   • Organize projects by functional categories (e.g., tooling, middleware, RTOS, AI, digital twin, orchestration, etc.)
   • Exportable views (e.g., PNG, SVG) for presentations and documentation
   • Allow easy updates as projects are added, retired, or reclassified
2. Open Source Repository
   • Source code for generating and maintaining the landscape
   • Configuration and metadata describing SDV projects
   • Documentation for contributors and maintainers
3. Contribution Guidelines
   • Clear process for adding, updating, or removing projects
   • Alignment with Eclipse Foundation branding and policies

Out of Scope

The project will not:

• Replace official project documentation or websites
• Provide technical integration or dependencies between projects
• Act as a governance or compliance tool
• Host or mirror project artifacts or code beyond the landscape itself

The Eclipse Connector Fabric Manager includes:

- A tenant management and provisioning system that can be extended to support a variety of dataspace-related services.
 - A multi-role user interface that supports operators, B2B resellers, and end users for tenant management and service provisioning.
- A demonstrator sample

The Eclipse Azimuth Sailing Analytics, formerly known as the "SAP Sailing Analytics," offers a solution for portraying and analyzing sailing regattas, supporting training scenarios, and powering the vast archive at https://sapsailing.com. The solution consists of a cloud application with a web-based user interface, as well as three companion apps that integrate with the cloud application. The "sailing-analytics" repository has the code for the cloud-based web application, and two of the three mobile apps (Buoy Pinger and Race Manager). The third companion app (Sail Insight) is found in the "sailing-analytics-sail-insight" repo.

Eclipse VOStack is an open source software stack for IoT virtualization and convergence with edge/cloud computing technologies. It is aligned with the W3C Web of Things Standard.

The core of Eclipse VOStack is a python implementation building on wot-py (asynchronous Python implementation of a W3C Web of Things runtime). It extends wot-py with features of Virtual Objects (VO): 

• Extension of Protocol Bindings: HTTP(S), CoAP, WebSockets, MQTT, Zenoh
• Periodic Functions: Repeat Functions in irregular intervals
• InfluxDB: Automatic saving of Property values on read/write operations, logging of Action invocations and Event emission
• Automatic configuration of the VO: Script runner that takes a Web of Things Thing Description, a VO descriptor and a python code file and configures the VO

Additionally, VO Stack provides the following functionalities:

• Automatic orchestration/virtualization in Kubernetes deployments
• RTSP server for video streams
• Proxy mode to turn a cVO into a proxy to other VOs

The project provides an API to facilitate the execution of AI agents on Jakarta EE runtimes. It defines the API contract between the runtime and agent implementation. This is similar to what Servlet did for HTTP processing, Jakarta REST did for RESTful web services, or perhaps most appropriately, Jakarta Batch did for batch processing. The annotation-based API will define common usage patterns and life cycles that make it as understandable, consistent, and easy as possible to implement different types of agents. CDI is used as a core component model for the API. The project will likely also define integrations with other key Jakarta EE APIs such as Validation, REST, JSON Binding, Persistence, Data, Transactions, NoSQL, Concurrency, Security, Messaging, and so on. The project aims for the broadest industry consensus possible by engaging as many relevant subject matter experts and API consumers as possible, from within the Java/Jakarta EE ecosystem as well as externally.

Industrial and academic projects requiring access to either 32- or 64-bit, embedded or application class cores. The CVA6 can be synthesized for both FPGA and ASIC targets.

The objective of this project is to propose a means to support the due diligence responsibilities of manufacturers who rely on F/OSS components in a way that, rather than burdening F/OSS maintainers or stewards, helps to sustain F/OSS projects and facilitates interaction with both market surveillance and vulnerability coordination functions at the national and ENISA levels.

Voluntary security attestations offer an opportunity to proactively strengthen the security posture of F/OSS by enabling a wide range of stakeholders, from developers and stewards to integrators and public authorities, to participate in a structured and trustworthy process of security validation.

The Eclipse Data Plane Core project provides:

• Data plane SDKs for Go, Java, .NET, Rust, and Typescript. Other languages may be added in the future based on community feedback.
• A Rust-based data plane implementation for transferring data over HTTP compatible with the Data Plane Signaling Specification.