Skip to content
#

numpy-compatibility

Star

Here is 1 public repository matching this topic...

OmniNumpy

ryanswalters / OmniNumpy

Star 1

OmniNumPy is an experimental compatibility layer that sits on top of modern NumPy (≥2.0) and lets you run the same code across multiple array backends — NumPy, PyTorch, CuPy, and JAX — with minimal changes.

python legacy gpu numpy torch compatibility scientific-computing shim cupy compatibility-testing numpy-library compatibility-layer jax numpy-neural-network numpy-python numpy-compatibility numpy-2x
  • Updated Sep 30, 2025
  • Python

Improve this page

Add a description, image, and links to the numpy-compatibility topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the numpy-compatibility topic, visit your repo's landing page and select "manage topics."

Learn more