drms

drms: A Python package for accessing HMI and AIA data - Published in JOSS (2019)

https://github.com/sunpy/drms

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 9 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    1 of 14 committers (7.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords from Contributors

astropy sunpy solar-physics sun astronomy solar nddata numfocus wcs physics
Last synced: 6 months ago · JSON representation

Repository

Access HMI, AIA and MDI data with Python from public JSOC DRMS servers

Basic Info
Statistics
  • Stars: 22
  • Watchers: 10
  • Forks: 23
  • Open Issues: 8
  • Releases: 18
Created almost 10 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Citation

README.rst

====
drms
====

Access HMI, AIA and MDI data from the Standford JSOC DRMS.

`Docs `__ |
`Tutorial `__ |
`Github `__ |
`PyPI `__

|JOSS| |Zenodo|

.. |JOSS| image:: https://joss.theoj.org/papers/10.21105/joss.01614/status.svg
   :target: https://doi.org/10.21105/joss.01614
.. |Zenodo| image:: https://zenodo.org/badge/58651845.svg
   :target: https://zenodo.org/badge/latestdoi/58651845

The ``drms`` module provides an easy-to-use interface for accessing HMI, AIA and MDI data with Python.
It uses the publicly accessible `JSOC `__ DRMS server by default, but can also be used with local `NetDRMS `__ sites.
More information, including a detailed tutorial, is available in the `Documentation `__.

Getting Help
------------

For more information or to ask questions about ``drms``, check out:

- `drms Documentation `__
- `SunPy Chat `__

Usage of Generative AI
----------------------

We expect authentic engagement in our community.
Be wary of posting output from Large Language Models or similar generative AI as comments on GitHub or any other platform, as such comments tend to be formulaic and low quality content.
If you use generative AI tools as an aid in developing code or documentation changes, ensure that you fully understand the proposed changes and can explain why they are the correct approach and an improvement to the current state.

License
-------

This project is Copyright (c) The SunPy Community and licensed under
the terms of the BSD 2-Clause license. This package is based upon
the `Openastronomy packaging guide `_
which is licensed under the BSD 3-clause licence. See the licenses folder for
more information.

Contributing
------------

We love contributions! drms is open source,
built on open source, and we'd love to have you hang out in our community.

**Imposter syndrome disclaimer**: We want your help. No, really.

There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?

We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.

Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.

Note: This disclaimer was originally written by
`Adrienne Lowe `_ for a
`PyCon talk `_, and was adapted by
drms based on its use in the README file for the
`MetPy project `_.

Citation
--------
If you use ``drms`` in your work, please cite our `paper `__.

.. code-block:: bibtex

    @article{Glogowski2019,
      doi = {10.21105/joss.01614},
      url = {https://doi.org/10.21105/joss.01614},
      year = {2019},
      publisher = {The Open Journal},
      volume = {4},
      number = {40},
      pages = {1614},
      author = {Kolja Glogowski and Monica G. Bobra and Nitin Choudhary and Arthur B. Amezcua and Stuart J. Mumford},
      title = {drms: A Python package for accessing HMI and AIA data},
      journal = {Journal of Open Source Software}
    }

Code of Conduct (CoC)
---------------------

When you are interacting with the SunPy community you are asked to follow our `code of conduct `__.

Acknowledgements
----------------

Kolja Glogowski has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement no. 307117.

Owner

  • Name: SunPy
  • Login: sunpy
  • Kind: organization

Python for Solar Physics

JOSS Publication

drms: A Python package for accessing HMI and AIA data
Published
August 20, 2019
Volume 4, Issue 40, Page 1614
Authors
Kolja Glogowski ORCID
Kiepenheuer-Institut für Sonnenphysik, 79104, Freiburg, Germany, eScience Department, Computing Center, University of Freiburg, 79104, Freiburg, Germany
Monica G. Bobra ORCID
W.W. Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA
Nitin Choudhary ORCID
Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India
Arthur B. Amezcua ORCID
W.W. Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA
Stuart J. Mumford ORCID
School of Mathematics and Statistics, The University of Sheffield, Sheffield S3 7RH, UK
Editor
Juanjo Bazán ORCID
Tags
astronomy

Citation (CITATION.rst)


      

GitHub Events

Total
  • Create event: 23
  • Release event: 1
  • Issues event: 5
  • Delete event: 24
  • Issue comment event: 10
  • Push event: 52
  • Pull request event: 60
  • Pull request review event: 32
  • Pull request review comment event: 10
Last Year
  • Create event: 23
  • Release event: 1
  • Issues event: 5
  • Delete event: 24
  • Issue comment event: 10
  • Push event: 52
  • Pull request event: 60
  • Pull request review event: 32
  • Pull request review comment event: 10

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 264
  • Total Committers: 14
  • Avg Commits per committer: 18.857
  • Development Distribution Score (DDS): 0.553
Past Year
  • Commits: 28
  • Committers: 5
  • Avg Commits per committer: 5.6
  • Development Distribution Score (DDS): 0.321
Top Committers
Name Email Commits
Kolja Glogowski k****a@p****e 118
Nabil Freij n****j@g****m 59
pre-commit-ci[bot] 6****] 39
github-actions[bot] 4****] 19
Stuart Mumford s****t@c****m 9
Monica Bobra m****a 8
Nabil Freij f****j@b****g 3
David Stansby d****y@g****m 2
David Perez-Suarez d****z@u****k 2
Will Barnes w****s@g****m 1
Samuel Bennett C****a 1
Paul Wright p****l@p****k 1
Nitin Choudhary n****3@g****m 1
Albert Y. Shih a****h@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 40
  • Total pull requests: 132
  • Average time to close issues: 9 months
  • Average time to close pull requests: 15 days
  • Total issue authors: 20
  • Total pull request authors: 16
  • Average comments per issue: 1.93
  • Average comments per pull request: 0.52
  • Merged pull requests: 114
  • Bot issues: 0
  • Bot pull requests: 77
Past Year
  • Issues: 3
  • Pull requests: 50
  • Average time to close issues: 3 months
  • Average time to close pull requests: 1 day
  • Issue authors: 2
  • Pull request authors: 5
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.32
  • Merged pull requests: 40
  • Bot issues: 0
  • Bot pull requests: 36
Top Authors
Issue Authors
  • wtbarnes (6)
  • nabobalis (6)
  • kbg (5)
  • Tom-Berger (3)
  • mgckind (3)
  • dpshelio (2)
  • mbobra (2)
  • aureliocarnero (1)
  • samaloney (1)
  • Rankicker795 (1)
  • omguptaup (1)
  • kakirastern (1)
  • olebole (1)
  • dkempton (1)
  • yjzhu-solar (1)
Pull Request Authors
  • pre-commit-ci[bot] (48)
  • github-actions[bot] (36)
  • nabobalis (25)
  • Cadair (16)
  • nitinkgp23 (3)
  • kbg (3)
  • mbobra (2)
  • CyclingNinja (2)
  • ayshih (1)
  • dstansby (1)
  • PaulJWright (1)
  • dpshelio (1)
  • arfon (1)
  • jeffreypaul15 (1)
  • wtbarnes (1)
Top Labels
Issue Labels
Enhancement (8) Bug (6) JSOC issue (1)
Pull Request Labels
No Changelog Entry Needed (52)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 36,942 last-month
  • Total docker downloads: 90
  • Total dependent packages: 11
    (may contain duplicates)
  • Total dependent repositories: 30
    (may contain duplicates)
  • Total versions: 27
  • Total maintainers: 4
pypi.org: drms

Access HMI, AIA and MDI data from the Standford JSOC DRMS

  • Versions: 17
  • Dependent Packages: 10
  • Dependent Repositories: 29
  • Downloads: 36,942 Last month
  • Docker Downloads: 90
Rankings
Dependent packages count: 1.1%
Docker downloads count: 2.1%
Average: 2.2%
Dependent repos count: 2.7%
Downloads: 2.8%
Maintainers (4)
Last synced: 6 months ago
conda-forge.org: drms

The ``drms`` module provides an easy-to-use interface for accessing HMI, AIA and MDI data with Python. It uses the publicly accessible `JSOC <http://jsoc.stanford.edu/>`_ DRMS server by default, but can also\nbe used with local `NetDRMS <http://jsoc.stanford.edu/netdrms/>`_ sites. More information, including a detailed tutorial is available on `Read the Docs <http://docs.sunpy.org/projects/drms/>`_.

  • Versions: 10
  • Dependent Packages: 1
  • Dependent Repositories: 1
Rankings
Dependent repos count: 24.3%
Dependent packages count: 29.0%
Average: 34.0%
Forks count: 34.7%
Stargazers count: 47.9%
Last synced: 6 months ago

Dependencies

.github/workflows/ci.yml actions
docs/rtd_requirements.txt pypi
pyproject.toml pypi
setup.py pypi