{"library":"array-api-compat","type":"library","category":null,"description":"array-api-compat is a small wrapper around popular array libraries like NumPy, CuPy, PyTorch, Dask, JAX, ndonnx, and Sparse. Its primary goal is to make these libraries compatible with the Python Array API standard, allowing array-consuming libraries to write array-agnostic code today, even if the underlying array libraries do not yet fully implement the standard. The library is actively maintained by the Consortium for Python Data API Standards. The current version is 1.14.0, with ongoing development.","language":"python","status":"active","version":"1.14.0","tags":["array-api","numpy","pytorch","cupy","dask","jax","data-apis","interoperability","numerical-computing"],"last_verified":"Wed May 20","install":[{"cmd":"pip install array-api-compat","imports":["from array_api_compat import array_namespace","import array_api_compat.numpy as xp","import array_api_compat.torch as xp"]}],"homepage":"https://data-apis.org/array-api-compat/","github":"https://github.com/data-apis/array-api-compat","docs":null,"changelog":null,"pypi":"https://pypi.org/project/array-api-compat/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":0.04,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/array-api-compat/compatibility"}}