Quantum Computing is still currently an immature technology with fast evolving research areas around its implementation and application development. Progress, as in any active research area, is not linear and rapid advances are being reported as a result of deep expertise, experimentation and integration into HPC facilities. Quantum emulators are a crucial tool yet there exists a significant gap between algorithm development using quantum emulators and current NISQ devices when considering the system size and the inclusion of noise. We propose a novel emulation framework for quantum computing which (i) uses real time calibration data from devices to build targets instances, (ii) provides a digital twin of the device which can be augmented for continued development, (iii) provides a framework where third party software stacks for emulation and noise modelling can be easily exchanged for rapid experimentation, and (iv) provides a run repository where snapshots are maintained for reproducibility and tracking of workflows. The framework maintains a model repository for the evolving digital twin of the quantum device as it is continually updated and improved. This digital representation aids application development for NISQ devices at system sizes not yet attainable and allows research to continue during hardware downtime.