{
  "$schema": "./item.schema.json",
  "id": "unxt-joss",
  "type": "publication",
  "cvs": [
    "np",
    "2page"
  ],
  "featured": true,
  "date": {
    "start": "2025-03"
  },
  "title": "unxt: A Python package for unit-aware computing with JAX",
  "shortTitle": "unxt",
  "nickTitle": "unxt",
  "status": "published",
  "entryType": "article",
  "authors": [
    {
      "family": "Starkman",
      "given": "Nathaniel",
      "me": true,
      "orcid": "0000-0003-3954-3291"
    },
    {
      "family": "Price-Whelan",
      "given": "Adrian M.",
      "orcid": "0000-0003-0872-7098",
      "affiliation": "Center for Computational Astrophysics, Flatiron Institute, USA"
    },
    {
      "family": "Nibauer",
      "given": "Jake",
      "orcid": "0000-0001-8042-5794",
      "affiliation": "Department of Physics, Princeton University, USA"
    }
  ],
  "venue": {
    "journal": "Journal of Open Source Software",
    "volume": "10",
    "number": "107",
    "pages": "7771"
  },
  "doi": "10.21105/joss.07771",
  "links": [
    {
      "rel": "paper",
      "url": "https://doi.org/10.21105/joss.07771"
    },
    {
      "rel": "code",
      "url": "https://github.com/GalacticDynamics/unxt"
    },
    {
      "rel": "docs",
      "url": "https://unxt.readthedocs.io/en/stable/"
    }
  ],
  "refs": [
    "unxt"
  ],
  "tags": [
    "jax",
    "software"
  ],
  "citekey": "Starkman+:2025:unxt",
  "abstract": "unxt is a Python package for unit-aware computing with JAX. unxt is built on top of quax, which provides a framework for building array-like objects that can be used with JAX. unxt extends quax to provide support for unit-aware computing using the astropy.units package as a units backend. unxt provides seamless integration of physical units into high performance numerical computations, significantly enhancing the capabilities of JAX for scientific applications.",
  "highlight": {
    "topic": "software",
    "image": "highlights/unxt-joss.webp",
    "alt": "The unxt logo: a ruler crossed with a green pencil on a blue square.",
    "description": "JAX gives scientific Python automatic differentiation, compilation and GPUs, but no physical units. unxt adds them: quantities that carry their units through jitted, differentiated and vectorized code, with astropy.units under the hood and an interface astropy users will recognize. It underpins the GalacticDynamics stack, including coordinax and galax."
  }
}