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Upstream software project

python-xarray

N-D labeled arrays and datasets in Python

About python-xarray

N-D labeled arrays and datasets in Python

This project links 17 native package records across 4 recorded operating-system releases. Compare the retained versions and architectures below, then open the package for your own release.

These are catalog observations, not a guarantee of installation, compatibility, or upstream support.

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Project pictures and package coverage

python-xarray repository preview from GitHub
Project repository preview, supplied by GitHub. Open source repository
Fedora 43: 2 package records; Fedora 44: 2 package records; openSUSE Leap 15.6: 1 package records; openSUSE Tumbleweed: 12 package records. Catalog coverage diagram, not an application screenshot.python-xarray: recorded package coverageFedora 432 recordsFedora 442 recordsopenSUSE Leap 15.61 recordsopenSUSE Tumbleweed12 records
OpenFactory diagram of linked package records. It is not an application screenshot.

Project identity

Project
python-xarray
Publisher
Not authoritatively mapped
Native package records
17
Operating systems
fedora-43, fedora-44, opensuse-leap-15-6, opensuse-tumbleweed
License expression
Apache-2.0
Metadata completeness
100/100 (not a software quality rating)
Homepage
Visit upstream site
Source repository
Open source repository

Source-reported description

The fullest retained description is shown with its source. Distribution packaging descriptions may include downstream details.

Xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray’s data model, and integrates tightly with dask for parallel computing.

Description source

Packages by operating system

Compare recorded versions, then open a package for dependency, file, checksum, and repository evidence. Version strings are distribution-specific, not a ranking of newer software.

Fedora 43

  1. python3-xarray

    Fedora 43 / Unspecified / source python-xarray

    2025.12.0-1.fc43

    N-D labeled arrays and datasets in Python

    noarch43
  2. python3-xarray+io

    Fedora 43 / Unspecified / source python-xarray

    2025.12.0-1.fc43

    Metapackage for python3-xarray: io extras

    noarch43

Fedora 44

  1. python3-xarray

    Fedora 44 / Unspecified / source python-xarray

    2026.2.0-1.fc44

    N-D labeled arrays and datasets in Python

    noarch44
  2. python3-xarray+io

    Fedora 44 / Unspecified / source python-xarray

    2026.2.0-1.fc44

    Metapackage for python3-xarray: io extras

    noarch44

openSUSE Leap 15.6

  1. python3-xarray

    openSUSE Leap 15.6 / Development/Languages/Python / source python-xarray

    0.13.0-bp156.3.2

    N-D labeled arrays and datasets in Python

    noarchleap-15.6

openSUSE Tumbleweed

  1. python313-xarray

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    N-D labeled arrays and datasets in Python

    noarchtumbleweed
  2. python313-xarray-accel

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[accel] extra

    noarchtumbleweed
  3. python313-xarray-complete

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[complete] extra

    noarchtumbleweed
  4. python313-xarray-io

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[io] extra

    noarchtumbleweed
  5. python313-xarray-parallel

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[parallel] extra

    noarchtumbleweed
  6. python313-xarray-viz

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[viz] extra

    noarchtumbleweed
  7. python314-xarray

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    N-D labeled arrays and datasets in Python

    noarchtumbleweed
  8. python314-xarray-accel

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[accel] extra

    noarchtumbleweed
  9. python314-xarray-complete

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[complete] extra

    noarchtumbleweed
  10. python314-xarray-io

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[io] extra

    noarchtumbleweed
  11. python314-xarray-parallel

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[parallel] extra

    noarchtumbleweed
  12. python314-xarray-viz

    openSUSE Tumbleweed / Unspecified / source python-xarray

    2026.02.0-3.1

    The python xarray[viz] extra

    noarchtumbleweed

Project resources and further reading

Mapping provenance

Only source-backed identity signals create public cross-OS links. A reviewer can later approve or dispute an inferred relationship without rewriting native package history.

No field-level source record is published yet.