The Internet of Things (IoT) landscape is deeply fragmented. Firmware engineers write device code in C/C++, data scientists live in Python, and software engineers handle networking in rigorous, formal environments, juggling multiple protocols, data formats, and API definitions. Connecting these worlds is hard, and the friction often shows up as brittle glue code, misunderstandings, and knowledge gaps.

hololinked was created to eliminate this knowledge overlap, through systematic beginner friendly approach, yet maintaining interoperability and building with extensible components.

Whether you’re doing serious R&D with high end equipment, working in a university lab putting togther an experiment, or hacking on a weekend project, hololinked provides you a decent mental framework to meet your data acquisition and remote control requirements. From distributed control systems in a synchrotron, to smart-home experiments on a Raspberry Pi or desktop applications for instrumentation, hololinked lets you describe hardware capabilities as first-class Python objects, by combining Python’s expressive power with W3C Web of Things standards.