[Numpy-discussion] start of an array (tensor) and dataframe API standardization initiative

Ralf Gommers ralf.gommers at gmail.com
Mon Aug 17 16:34:53 EDT 2020

Hi all,

I'd like to share this announcement blog post about the creation of a
consortium for array and dataframe API standardization here:
https://data-apis.org/blog/announcing_the_consortium/. It's still in the
beginning stages, but starting to take shape. We have participation from
one or more maintainers of most array and tensor libraries - NumPy,
TensorFlow, PyTorch, MXNet, Dask, JAX, Xarray. Stephan Hoyer, Travis
Oliphant and myself have been providing input from a NumPy perspective.

The effort is very much related to some of the interoperability work we've
been doing in NumPy (e.g. it could provide an answer to what's described in

At this point we're looking for feedback from maintainers at a high level
(see the blog post for details).

Also important: the python-record-api tooling and data in its repo has very
granular API usage data, of the kind we could really use when making
decisions that impact backwards compatibility.

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