Gaspype operates on multidimensional arrays for composition, temperature and pressure. It is designed for a flat learning curve and compact syntax for pocket calculator-like use in Jupyter Notebooks, as well as high performance for integration in large physical models. One central goal is the portability to GPU frameworks like JAX or PyTorch for performance as well as direct integrability in ML pipelines.

Checkout the examples, I'd love to hear you feedback, use cases, or feature ideas.

Repo is located here: https://github.com/DLR-Institute-of-Future-Fuels/gaspype