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MetObs - a Python toolkit for using non-traditional meteorological observations

MetObs - a Python toolkit for using non-traditional meteorological observations - Published in JOSS (2024)

https://github.com/vergauwenthomas/metobs_toolkit

Science Score: 93.0%

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 5 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

climate meteorology python toolkit

Keywords from Contributors

standardization

Scientific Fields

Political Science Social Sciences - 90% confidence
Last synced: 4 months ago · JSON representation

Repository

A toolkit for using non-traditional meteorological observations

Basic Info
Statistics
  • Stars: 18
  • Watchers: 1
  • Forks: 6
  • Open Issues: 28
  • Releases: 11
Topics
climate meteorology python toolkit
Created over 3 years ago · Last pushed 4 months ago
Metadata Files
Readme Contributing License

README.md

MetObs-toolkit

PyPI version Documentation Status status Tests passing DOI

drawing

The MetObs-toolkit provides a comprehensive framework for scientists to process, quality control, and analyze raw meteorological data. It is designed to be flexible, extensible, and user-friendly for a wide range of meteorological applications.

Documentation

Full documentation, including installation instructions, usage examples, and API reference, is available at:

👉 https://metobs-toolkit.readthedocs.io/en/latest/index.html

Please ensure the documentation version matches your installed version of the toolkit.

Installation

Install the latest release from PyPI:

bash pip install metobs-toolkit

To install the latest development version from GitHub:

bash pip install git+https://github.com/vergauwenthomas/MetObs_toolkit.git@dev

Usage

Import the package in Python:

```python import metobs_toolkit

Check your version

print(metobstoolkit.version_) ```

Related Projects

Owner

  • Name: Thomas Vergauwen
  • Login: vergauwenthomas
  • Kind: user
  • Company: RMI/UGhent

Physicist working on weather and climate applications.

JOSS Publication

MetObs - a Python toolkit for using non-traditional meteorological observations
Published
March 08, 2024
DOI
Volume 9, Issue 95, Page 5916
Authors
Thomas Vergauwen ORCID
Royal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium
Michiel Vieijra ORCID
Royal Meteorological Institute of Belgium, Brussels, Belgium
Andrei Covaci ORCID
Vrije Universiteit Brussel (VUB), Brussels, Belgium
Amber Jacobs ORCID
Ghent University department of Physics and Astronomy, Ghent, Belgium
Sara Top ORCID
Ghent University department of Physics and Astronomy, Ghent, Belgium
Wout Dewettinck ORCID
Ghent University department of Physics and Astronomy, Ghent, Belgium
Kobe Vandelanotte ORCID
Royal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium
Ian Hellebosch ORCID
Ghent University department of Physics and Astronomy, Ghent, Belgium, VITO, Mol, Belgium
Steven Caluwaerts ORCID
Royal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium
Editor
Hugo Ledoux ORCID
Tags
Meteorology Urban climate Observations
View PDF Review Thread Software Archive

GitHub Events

Total
  • Create event: 17
  • Release event: 5
  • Issues event: 58
  • Watch event: 4
  • Delete event: 7
  • Issue comment event: 44
  • Push event: 242
  • Pull request review event: 15
  • Pull request review comment event: 27
  • Pull request event: 42
  • Fork event: 1
Last Year
  • Create event: 18
  • Release event: 5
  • Issues event: 61
  • Watch event: 4
  • Delete event: 7
  • Issue comment event: 45
  • Push event: 245
  • Pull request review event: 19
  • Pull request review comment event: 34
  • Pull request event: 44
  • Fork event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 318
  • Total Committers: 7
  • Avg Commits per committer: 45.429
  • Development Distribution Score (DDS): 0.057
Past Year
  • Commits: 7
  • Committers: 2
  • Avg Commits per committer: 3.5
  • Development Distribution Score (DDS): 0.143
Top Committers
Name Email Commits
Thomas Vergauwen 8****s 300
MichielVieijra 4****a 10
Trevor James Smith 1****e 3
ACovaci99 1****9 2
github-actions[bot] 4****] 1
Wout Dewettinck 8****n 1
Atharva Jakhetiya 1****7 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 171
  • Total pull requests: 209
  • Average time to close issues: 5 months
  • Average time to close pull requests: 22 days
  • Total issue authors: 11
  • Total pull request authors: 11
  • Average comments per issue: 0.76
  • Average comments per pull request: 0.52
  • Merged pull requests: 159
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 41
  • Pull requests: 67
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 8 days
  • Issue authors: 5
  • Pull request authors: 5
  • Average comments per issue: 0.46
  • Average comments per pull request: 0.58
  • Merged pull requests: 48
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • vergauwenthomas (130)
  • ashwinvis (7)
  • pratiman-91 (7)
  • amberJ99 (7)
  • wdewettin (5)
  • spuynen (5)
  • Zeitsperre (3)
  • MichielVieijra (3)
  • NoahVerhoeven (2)
  • JoachimSlembrouck (1)
  • TKCJMurges (1)
Pull Request Authors
  • vergauwenthomas (182)
  • Zeitsperre (5)
  • Copilot (4)
  • Im-Arth1307 (4)
  • ACovaci99 (4)
  • pratiman-91 (3)
  • cksharma2468 (2)
  • NoahVerhoeven (2)
  • github-actions[bot] (1)
  • wdewettin (1)
  • MichielVieijra (1)
Top Labels
Issue Labels
bug (37) enhancement (29) easy (23) invalid (21) Priority (20) Feature (10) documentation (10) tricky (7) JOSS publication blocking (5) good_first_issue (3) discussion (2) good first issue (2) technical (2) help wanted (1)
Pull Request Labels
RUN TESTS (15) WIP (8) enhancement (4) documentation (4) Priority (4) Ready_for_Review (4) JOSS publication blocking (4)

Dependencies

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.github/workflows/os_istall_test.yml actions
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.github/workflows/os_pip_install_test.yml actions
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pyproject.toml pypi
  • earthengine-api ^0.1.340
  • geemap ^0.20.0
  • geopandas ^0.9.0
  • mapclassify ^2.4.0
  • matplotlib ^3.0.0
  • pandas ^1.3.0
  • pyproj ~3.4
  • python ^3.9
.github/workflows/draft-pdf.yml actions
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docs/requirements.txt pypi
  • myst-parser ==2.0.0
  • nbsphinx ==0.9.3
  • pydata-sphinx-theme ==0.15.2
  • sphinx ==7.2.6
  • sphinx-copybutton ==0.5.2
  • sphinx_rtd_theme ==2.0.0