Bayesforge™ is a specialized Linux machine image designed to provide top-tier open source software tailored for data scientists in need of sophisticated analytical tools, alongside those involved in quantum computing and computational mathematics who want to utilize prominent quantum computing frameworks. This image integrates widely used machine learning frameworks like PyTorch and TensorFlow with open source offerings from D-Wave, Rigetti, IBM Quantum Experience, and Google's innovative quantum programming language Cirq, in addition to various advanced quantum computing frameworks. For example, it features our quantum fog modeling framework and the Qubiter quantum compiler, which is capable of cross-compiling to major architectures. Users can easily access all software through the Jupyter WebUI, which boasts a modular design, enabling coding in languages such as Python, R, and Octave, thus providing a versatile environment for a diverse range of scientific and computational tasks. This comprehensive setup not only enhances productivity but also fosters collaboration among practitioners from different domains.