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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Add support for nanobind?","articleBody":"After a quick inspection of xtensor-python's internals, it looks like it shouldn't be too hard supporting both pybind11 and [nanobind](https://github.com/wjakob/nanobind) via some sort of minimal compatibility layer? Both have a pretty similar API for the basic features, and unless I'm missing something xtensor-python doesn't seem to depend much on pybind11's numpy and/or other advanced features?\r\n\r\nNanobind is more performant than pybind11 and also offers more control via its [low-level interface](https://github.com/wjakob/nanobind/blob/master/docs/lowlevel.md), which would make things much easier for my use case (*). However, nanobind's numpy support is currently limited, e.g., it doesn't provide a `vectorize` helper (not sure it will anytime soon?) which is something that I also need. Xtensor-python would nicely fill this gap I guess.\r\n\r\n(*) More context: I'm working on a Python/Numpy library (https://github.com/benbovy/s2shapely) providing bindings for the s2geometry / s2geography libraries, via vectorized functions (ufuncs) operating on Geography objects (C++ wrapped classes) referenced in numpy arrays with the `numpy.object` dtype.\r\n","author":{"url":"https://github.com/benbovy","@type":"Person","name":"benbovy"},"datePublished":"2022-12-01T20:49:28.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":15},"url":"https://github.com/284/xtensor-python/issues/284"}