The rapid advancement in satellite technology with the adoption of commercial off-the-shelf (COTS) devices and satellite constellation networking has given rise to Space Computing Networks (SCNs). While SCN research is typically conducted on experimental platforms due to high operational costs, the unique challenges of SCNs require special consideration. In this demo, we introduce Rhone, an emulator that bridges these gaps by achieving both satellite- and constellation-level fidelity (the accurate replication of satellite and constellation states, including power, thermal, and network conditions, as well as application performance) while ensuring usability. Rhone adopts a two-phase approach: i) an offline phase builds power, thermal, orbit, network, and computation models using real satellite telemetries and hardware-in-the-loop chip mirroring, and ii) an online phase executes container-based emulation integrated with these models. Evaluation shows Rhone's power and computation model errors under 5% and thermal model errors within 1.3 – 2.5°C.