IoT and Edge

Eclipse Kanto is a modular IoT edge software stack for devices that enables them for AIoT with all the essentials - cloud connectivity and digital twins, local messaging, container management and

Wakaama provides APIs for a server application to send commands to registered LWM2M Clients. On client applications, Wakaama checks received commands for syntax and access rights and then dispatches them to the relevant objects.

Eclipse BlueChi™ is a deterministic multi-node service controller with a focus on highly regulated ecosystems. It is written in C and integrates seamless with systemd via its D-Bus API relaying D-Bus

Eclipse Hono™ provides remote service interfaces for connecting large numbers of IoT devices to a back end and interacting with them in a uniform way regardless of the device communication protocol

The Eclipse Keypop open source interfaces are available in Java and C++, designed on the same mutual Object-Oriented Model. The 'Reader API' is a high-level interface used by terminal applications to

Eclipse Hara™ provides a reference agent software implementation featuring the Eclipse hawkBit device API. Such reference implementations are initially driven by operating systems and application

Eclipse Cyclone DDS™ is an implementation of the OMG Data Distribution Service (DDS) specification (see http://www.omg.org/spec/DDS/ ) and the related specifications for interoperability (see http:/

Eclipse ECF provides frameworks for messaging and communications. We fully implement the OSGi Remote Services (RS) and Remote Service Admin (RSA) specifications.

Eclipse Thingweb™ offers components for making IoT solutions interoperable at scale by leveraging the W3C WoT standards, no matter if improving an existing solution or building a new one: Describe

Eclipse Leshan™ is an OMA Lightweight M2M (LWM2M) implementation in Java. Leshan provides libraries which help people to develop their own Lightweight M2M server and client. The project also provides

Through HIP, localised processing or preperation of data is intended to reduce the connectivity and central processing requirements within IOT - much like the contemporary Fog computing paradigm, but