unyt
unyt: Handle, manipulate, and convert data with units in Python - Published in JOSS (2018)
Science Score: 95.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
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8 of 38 committers (21.1%) from academic institutions -
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords from Contributors
Scientific Fields
Repository
Handle, manipulate, and convert data with units in Python
Basic Info
- Host: GitHub
- Owner: yt-project
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: https://unyt.readthedocs.io
- Size: 5.42 MB
Statistics
- Stars: 375
- Watchers: 12
- Forks: 52
- Open Issues: 48
- Releases: 24
Metadata Files
README.rst
====
unyt
====
.. image:: https://img.shields.io/pypi/v/unyt.svg
:target: https://pypi.python.org/pypi/unyt
.. image:: https://img.shields.io/conda/vn/conda-forge/unyt.svg
:target: https://anaconda.org/conda-forge/unyt
:alt: conda-forge
.. image:: https://github.com/yt-project/unyt/actions/workflows/ci.yml/badge.svg?branch=main
:target: https://github.com/yt-project/unyt/actions/workflows/ci.yml
.. image:: https://github.com/yt-project/unyt/actions/workflows/bleeding-edge.yaml/badge.svg?branch=main
:target: https://github.com/yt-project/unyt/actions/workflows/bleeding-edge.yaml
.. image:: https://readthedocs.org/projects/unyt/badge/?version=latest
:target: https://unyt.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: http://joss.theoj.org/papers/dbc27acb614dd33eb02b029ef20e7fe7/status.svg
:target: http://joss.theoj.org/papers/dbc27acb614dd33eb02b029ef20e7fe7
:alt: Code Paper
|
.. image:: https://raw.githubusercontent.com/yt-project/unyt/master/docs/_static/yt_logo_small.png
:target: https://yt-project.org
:alt: The yt Project
A package for handling numpy arrays with units.
Often writing code that deals with data that has units can be confusing. A
function might return an array but at least with plain NumPy arrays, there is no
way to easily tell what the units of the data are without somehow knowing *a
priori*.
The ``unyt`` package (pronounced like "unit") provides a subclass of NumPy's
``ndarray`` class that knows about units. For example, one could do:
>>> import unyt as u
>>> distance_traveled = [3.4, 5.8, 7.2] * u.mile
>>> print(distance_traveled.to('km'))
[ 5.4717696 9.3341952 11.5872768] km
And a whole lot more! See `the documentation `_ for
installation instructions, more examples, and full API reference.
This package only depends on ``numpy`` and ``sympy``. Notably, it does *not*
depend on ``yt`` and it is written in pure Python.
Code of Conduct
---------------
The ``unyt`` package is part of `The yt Project
`_. Participating in ``unyt`` development therefore
happens under the auspices of the `yt community code of conduct
`_. If
for any reason you feel that the code of conduct has been violated, please send
an e-mail to confidential@yt-project.org with details describing the
incident. All emails sent to this address will be treated with the strictest
confidence by an individual who does not normally participate in yt development.
License
-------
The unyt package is licensed under the BSD 3-clause license.
Citation
--------
If you make use of unyt in work that leads to a publication we would appreciate
a mention in the text of the paper or in the acknowledgements along with a
citation to our `paper
`_ in the
Journal of Open Source Software. You can use the following BibTeX::
@article{Goldbaum2018,
doi = {10.21105/joss.00809},
url = {https://doi.org/10.21105/joss.00809},
year = {2018},
month = {aug},
publisher = {The Open Journal},
volume = {3},
number = {28},
pages = {809},
author = {Nathan J. Goldbaum and John A. ZuHone and Matthew J. Turk and Kacper Kowalik and Anna L. Rosen},
title = {unyt: Handle, manipulate, and convert data with units in Python},
journal = {Journal of Open Source Software}
}
Or the following citation format:
Goldbaum et al., (2018). unyt: Handle, manipulate, and convert data with units in Python . Journal of Open Source Software, 3(28), 809, https://doi.org/10.21105/joss.00809
Owner
- Name: The yt project
- Login: yt-project
- Kind: organization
- Email: yt-users@python.org
- Website: http://yt-project.org/
- Repositories: 43
- Profile: https://github.com/yt-project
A toolkit for analysis and visualization of volumetric data
JOSS Publication
unyt: Handle, manipulate, and convert data with units in Python
Authors
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign. 1205 W Clark St, Urbana, IL USA 61801
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign. 1205 W Clark St, Urbana, IL USA 61801
Tags
units quantities NumPy sympyCodeMeta (codemeta.json)
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"email": "ngoldbau@illinois.edu",
"name": "Nathan Goldbaum",
"affiliation": "University of Illinois at Urbana Champaign"
},
{
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"@type": "Person",
"email": "jzuhone@cfa.harvard.edu",
"name": "John ZuHone",
"affiliation": "Harvard-Smithsonian Center for Astrophysics"
},
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"@id": "0000-0002-5294-0198",
"@type": "Person",
"email": "mjturk@illinois.edu",
"name": "Matthew Turk",
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"name": "Kacper Kowalik",
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"@type": "Person",
"email": "anna.rosen@cfa.harvard.edu",
"name": "Anna Rosen",
"affiliation": "Harvard-Smithsonian Center for Astrophysics"
}
],
"identifier": "",
"codeRepository": "https://github.com/yt-project/unyt",
"datePublished": "2018-08-13",
"dateModified": "2018-08-13",
"dateCreated": "2018-08-13",
"description": "Handle, manipulate, and convert data with units in Python",
"keywords": "units, python, numpy, sympy, quantities",
"license": "BSD",
"title": "unyt",
"version": "v1.0.7"
}
GitHub Events
Total
- Create event: 7
- Release event: 1
- Issues event: 29
- Watch event: 11
- Delete event: 10
- Member event: 2
- Issue comment event: 126
- Push event: 36
- Pull request review event: 52
- Pull request review comment event: 42
- Pull request event: 68
- Fork event: 4
Last Year
- Create event: 7
- Release event: 1
- Issues event: 29
- Watch event: 11
- Delete event: 10
- Member event: 2
- Issue comment event: 126
- Push event: 36
- Pull request review event: 52
- Pull request review comment event: 42
- Pull request event: 68
- Fork event: 4
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nathan Goldbaum | n****u@i****u | 658 |
| Clément Robert | c****2@p****m | 363 |
| John ZuHone | j****e@g****m | 316 |
| Nathan Goldbaum | n****3@g****m | 111 |
| Lee Johnston | l****n@n****m | 68 |
| chrishavlin | c****n@g****m | 66 |
| pre-commit-ci[bot] | 6****] | 58 |
| Andrei Berceanu | a****u@g****m | 37 |
| Matthew Turk | m****k@g****m | 35 |
| Kacper Kowalik | x****k@g****m | 14 |
| Matthew Feickert | m****t@c****h | 12 |
| Kyle Oman | k****n@d****k | 12 |
| Josh Borrow | j****h@j****m | 10 |
| Daniel Bates | d****s@m****m | 9 |
| Kyle Sunden | s****n@w****u | 6 |
| Sam Dotson | s****n@g****m | 6 |
| Ben Thompson | n****e@n****e | 6 |
| Britton Smith | b****h@g****m | 5 |
| David Hannasch | D****h@g****m | 4 |
| Jeroen Van Goey | j****y@g****m | 4 |
| Ben Kimock | k****b@g****m | 4 |
| Andrew Myers | a****2@g****m | 4 |
| Thomas Hisch | t****h@g****m | 4 |
| Youness Bougteb | s****b@g****m | 3 |
| Ricarda Beckmann | r****n@a****k | 2 |
| Michael Zingale | m****e@s****u | 2 |
| Miguel de Val-Borro | m****l@g****m | 2 |
| Peter Talley | p****y@g****m | 2 |
| dependabot[bot] | 4****] | 2 |
| qobilidop | q****p@g****m | 1 |
| and 8 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 70
- Total pull requests: 235
- Average time to close issues: 2 months
- Average time to close pull requests: 16 days
- Total issue authors: 35
- Total pull request authors: 13
- Average comments per issue: 3.81
- Average comments per pull request: 1.55
- Merged pull requests: 204
- Bot issues: 0
- Bot pull requests: 48
Past Year
- Issues: 25
- Pull requests: 60
- Average time to close issues: about 1 month
- Average time to close pull requests: 15 days
- Issue authors: 13
- Pull request authors: 7
- Average comments per issue: 1.64
- Average comments per pull request: 2.1
- Merged pull requests: 44
- Bot issues: 0
- Bot pull requests: 18
Top Authors
Issue Authors
- neutrinoceros (23)
- kyleaoman (9)
- ngoldbaum (3)
- Cpp87 (2)
- MatthieuSchaller (2)
- JBorrow (2)
- yohad (1)
- vdbma (1)
- zingale (1)
- berceanu (1)
- aaramburo (1)
- CalCraven (1)
- james-trayford (1)
- cbyrohl (1)
- chrisjonesBSU (1)
Pull Request Authors
- neutrinoceros (158)
- pre-commit-ci[bot] (48)
- kyleaoman (16)
- jzuhone (12)
- zingale (4)
- ngoldbaum (3)
- dependabot[bot] (3)
- JBorrow (2)
- yuyttenhove (2)
- BioGeek (2)
- haymanpf (1)
- samgdotson (1)
- db434 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- pypi 34,479 last-month
-
Total dependent packages: 29
(may contain duplicates) -
Total dependent repositories: 79
(may contain duplicates) - Total versions: 60
- Total maintainers: 3
pypi.org: unyt
A package for handling numpy arrays with units
- Homepage: https://github.com/yt-project/unyt
- Documentation: https://unyt.readthedocs.io/en/stable/index.html
- License: BSD-3-Clause
-
Latest release: 3.0.4
published 10 months ago
Rankings
Maintainers (3)
conda-forge.org: unyt
- Homepage: http://github.com/yt-project/unyt
- License: BSD-3-Clause
-
Latest release: 2.9.2
published over 3 years ago
Rankings
anaconda.org: unyt
A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return an array but at least with plain NumPy arrays, there is no way to easily tell what the units of the data are without somehow knowing them prior. The unyt package (pronounced like "unit") provides a subclass of NumPy's ndarray class that knows about units.
- Homepage: https://github.com/yt-project/unyt
- License: BSD-3-Clause
-
Latest release: 3.0.3
published 10 months ago
Rankings
Dependencies
- matplotlib *
- numpy *
- sphinx *
- sympy *
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- numpy >=1.19
- packaging >=20.9
- sympy >=1.5