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uxarray

Xarray extension for unstructured climate and global weather data analysis and visualization.
https://github.com/UXARRAY/uxarray

Category: Climate Change
Sub Category: Climate Data Processing and Analysis

Keywords

geoscience ugrid unstructured-grids

Keywords from Contributors

geocat ncl geocat-comp climate-model archiving transforms projection geocat-viz measur observation

Last synced: about 4 hours ago
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Repository metadata

Xarray extension for unstructured climate and global weather data analysis and visualization.

README.md

Xarray extension for unstructured climate and global weather data

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Citing

UXarray aims to address the geoscience community's need for tools that enable
standard data analysis techniques to operate directly on unstructured grid
data. UXarray provides Xarray-styled functionality to better read in and use
unstructured grid datasets that follow standard conventions, including UGRID,
MPAS, ICON, SCRIP, ESMF, FESOM2, and Exodus grid formats. This effort is a result of the
collaboration between Project Raijin (NSF NCAR and Pennsylvania State University)
and the SEATS Project (Argonne National Laboratory, UC Davis, and Lawrence
Livermore National Laboratory). The UXarray team welcomes community
members to become part of this collaboration at any level of contribution.

UXarray is implemented in pure Python and does not explicitly contain or require
any compiled code. This makes UXarray more accessible to the general Python
community. Any contributions to this repository in pure Python are welcome and
documentation for contribution guidelines can be found when clicking New Issue
under the Issues tab in the UXarray repository.

Why is the name "UXarray"?

We have created UXarray based on Xarray
(via inheritance of Xarray Dataset and DataArray classes), a Pangeo ecosystem package
commonly-used for structured grids recognition, to support reading and
recognizing unstructured grid model outputs. We picked the name "UXarray"
(pronounced "you-ex-array"), with the "U" representing unstructured grids.

Documentation

UXarray Documentation

Contributor’s Guide

Installation

Project Raijin Homepage

SEATS Project Homepage

Contributors

Thank you to all of our contributors!

Contributors

Citing UXarray

If you'd like to cite our work, please follow How to cite
UXarray.

Support

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use the UXarray software, please cite it as suggested here."
authors:
- family-names: "Chen"
  given-names: "Amber"
  orcid: "https://orcid.org/0009-0001-3281-4514"
- family-names: "Chen"
  given-names: "Hongyu"
  orcid: "https://orcid.org/0000-0001-7743-4761"
- family-names: "Chmielowiec"
  given-names: "Philip"
  orcid: "https://orcid.org/0009-0001-4744-1511"
- family-names: "Clyne"
  given-names: "John"
  orcid: "https://orcid.org/0000-0003-2788-9017"
- family-names: "Eroglu"
  given-names: "Orhan"
  orcid: "https://orcid.org/0000-0003-3099-8775"
- family-names: "Franda"
  given-names: "Ian"
  orcid: "https://orcid.org/0009-0003-0192-6649"
- family-names: "Jacob"
  given-names: "Robert"
  orcid: "https://orcid.org/0000-0002-9444-6593"
- family-names: "Jain"
  given-names: "Rajeev"
  orcid: "https://orcid.org/0000-0002-1235-918X"
- family-names: "Medeiros"
  given-names: "Brian"
  orcid: "https://orcid.org/0000-0003-2188-4784"
- family-names: "Sizemore"
  given-names: "Michaela"
- family-names: "Tam"
  given-names: "Rachel"
  orcid: "https://orcid.org/0000-0002-3415-3879"
- family-names: "Ullrich"
  given-names: "Paul"
  orcid: "https://orcid.org/0000-0003-4118-4590"
- family-names: "Zacharias"
  given-names: "Anissa"
  orcid: "https://orcid.org/0000-0002-2666-8493"
- family-names: "Zarzycki"
  given-names: "Colin"
- family-names: "Zedwick"
  given-names: "Aaron"
  orcid: "https://orcid.org/0000-0003-3229-3381"
title: "uxarray"
abstract: "Xarray extension for unstructured climate and global weather data analysis and visualization."
license: Apache-2.0
doi: 10.5281/zenodo.5655065
url: "https://uxarray.readthedocs.io/"
repository-code: "https://github.com/UXARRAY/uxarray"

Owner metadata

GitHub Events

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Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 1,690
Total Committers: 27
Avg Commits per committer: 62.593
Development Distribution Score (DDS): 0.64

Commits in past year: 313
Committers in past year: 14
Avg Commits per committer in past year: 22.357
Development Distribution Score (DDS) in past year: 0.649

Name Email Commits
Philip Chmielowiec 6****2 609
Rajeev Jain r****a@g****m 247
erogluorhan e****n@g****m 219
Hongyu Chen h****n@u****u 185
Aaron Zedwick a****k@g****m 103
michaelavs m****e@g****m 101
anissa111 a****z@u****u 84
dependabot[bot] 4****] 71
pre-commit-ci[bot] 6****] 24
Kijin Nam k****m@w****v 7
Paul Ullrich p****h@u****u 7
Mario Rodriguez m****z@u****u 7
David Ahijevych a****c@u****u 4
Heather Craker h****r@u****u 3
Ian Franda 1****a 3
Alea Kootz 2****e 2
Filipe o****f@g****m 2
Joe Schoonover 1****e 2
Rachel Tam 1****2 2
David Galicia 5****3 1
Florian Ziemen f****n 1
Joshua Pan j****4@g****m 1
Katelyn FitzGerald 7****d 1
Kristen Thyng k****g@g****m 1
Maxime Liquet 3****t 1
Rajeev Jain r****a@@g****m 1
Paul Gierz p****z@a****e 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 646
Total pull requests: 479
Average time to close issues: 3 months
Average time to close pull requests: 25 days
Total issue authors: 41
Total pull request authors: 21
Average comments per issue: 1.4
Average comments per pull request: 3.14
Merged pull request: 382
Bot issues: 0
Bot pull requests: 85

Past year issues: 246
Past year pull requests: 245
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 17 days
Past year issue authors: 25
Past year pull request authors: 15
Past year average comments per issue: 1.51
Past year average comments per pull request: 3.73
Past year merged pull request: 202
Past year bot issues: 0
Past year bot pull requests: 54

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/UXARRAY/uxarray

Top Issue Authors

  • philipc2 (358)
  • erogluorhan (85)
  • hongyuchen1030 (47)
  • aaronzedwick (37)
  • rajeeja (30)
  • anissa111 (15)
  • kjnam (12)
  • ahijevyc (8)
  • zarzycki (6)
  • kafitzgerald (4)
  • clyne (4)
  • fluidnumerics-joe (4)
  • jpan84 (2)
  • michaelavs (2)
  • wwieder (2)

Top Pull Request Authors

  • philipc2 (223)
  • dependabot[bot] (58)
  • aaronzedwick (40)
  • hongyuchen1030 (38)
  • erogluorhan (30)
  • rajeeja (27)
  • pre-commit-ci[bot] (27)
  • kjnam (7)
  • ahijevyc (6)
  • anissa111 (5)
  • rytam2 (4)
  • amberchen122 (2)
  • pilotchute (2)
  • kafitzgerald (2)
  • fluidnumerics-joe (2)

Top Issue Labels

  • new feature (215)
  • bug (128)
  • enhancement (71)
  • documentation (53)
  • improvement (33)
  • release (27)
  • CI (19)
  • community support (13)
  • redesign (13)
  • high priority (11)
  • scalability (11)
  • dependencies (10)
  • help wanted (8)
  • testing (6)
  • good first issue (6)
  • multiprecision (3)
  • uchicago-hack (3)
  • question (2)
  • invalid (1)

Top Pull Request Labels

  • dependencies (62)
  • run-benchmark (25)
  • documentation (25)
  • bug (21)
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  • new feature (18)
  • improvement (14)
  • CI (13)
  • scalability (7)
  • multiprecision (6)
  • redesign (5)
  • high priority (4)
  • release (4)
  • community support (3)
  • help wanted (3)
  • testing (3)
  • github_actions (2)

Package metadata

pypi.org: uxarray

Xarray extension for unstructured climate and global weather data analysis and visualization.

  • Homepage:
  • Documentation: https://uxarray.readthedocs.io/
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  • Latest release: 2025.4.0 (published 3 days ago)
  • Last Synced: 2025-04-25T19:01:45.247Z (1 day ago)
  • Versions: 44
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Downloads: 8,318 Last month
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    • Downloads: 16.174%
    • Dependent repos count: 22.233%
  • Maintainers (2)
conda-forge.org: uxarray

Uxarray aims to address the geoscience community need for tools that enable standard data analysis techniques to operate directly on unstructured grid data. Uxarray will provide Xarray styled functions to better read in and use unstructured grid datasets that follow standard conventions, including UGRID, SCRIP, Exodus and shapefile formats. This effort is a result of the collaboration between Project Raijin (NCAR and Pennsylvania State University) and the SEATS Project (Argonne National Laboratory, UC Davis, and Lawrence Livermore National Laboratory). The Uxarray team welcomes other community members to become part of this collaboration at any level of contribution.

  • Homepage: https://github.com/UXARRAY/uxarray
  • Licenses: Apache-2.0
  • Latest release: 2022.11.0 (published over 2 years ago)
  • Last Synced: 2025-04-01T02:08:50.247Z (26 days ago)
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Rankings:
    • Dependent repos count: 20.241%
    • Stargazers count: 35.446%
    • Average: 37.774%
    • Forks count: 43.82%
    • Dependent packages count: 51.589%

Dependencies

requirements.txt pypi
  • xarray *
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ci/environment.yml conda
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  • xarray
setup.py pypi

Score: 18.078717507346163