Saul Shanabrook

The array API standard (https://data-apis.org/array-api/) is a common specification for Python array libraries, such as NumPy, PyTorch, CuPy, Dask, and JAX. This standard will make it straightforward for array-consuming libraries, like scikit-learn and SciPy, to write code that uniformly supports all of these libraries.

metadsl is a Python framework for writing APIs that are detached from how they are executed. With it we can be framework agnostic definitions of concepts like "arrays" and compile them to backends like Tensorflow or LLVM.

Can the Python data science and scientific computing ecoystem remain in the hands of community open source projects? Or will increasingly complex performance and hardware requirements leave room only for vertically integrated corporate sponsored projects ?