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pygac

A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.
https://github.com/pytroll/pygac

Category: Climate Change
Sub Category: Climate Data Access and Visualization

Keywords

avhrr calibration climate gac hacktoberfest lac metop navigation noaa radiometric satellite tiros

Keywords from Contributors

closember weather orbital-mechanics resampling kd-tree meteorology production cloud-parameter coastlines pygac

Last synced: about 16 hours ago
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Repository metadata

A python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data

README.md

pygac

Build
Coverage
DOI

Pygac is a Python package to read, calibrate and navigate data from the AVHRR
instrument onboard NOAA and MetOp satellites in GAC and LAC format.

The documentation is available at https://pygac.readthedocs.io/.


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 638
Total Committers: 26
Avg Commits per committer: 24.538
Development Distribution Score (DDS): 0.721

Commits in past year: 44
Committers in past year: 3
Avg Commits per committer in past year: 14.667
Development Distribution Score (DDS) in past year: 0.386

Name Email Commits
Stephan Finkensieper s****r@d****e 178
Martin Raspaud m****d@s****e 141
horn c****n@e****t 117
stickler-ci s****t@s****m 42
Nina Hakansson n****n@s****e 22
Adam Dybbroe a****e@s****e 19
Nina.Hakansson a****5@c****e 14
abhaydd a****d 13
Owen Embury o****y@r****k 12
Abhay Devasthale s****y@b****e 11
Sara.Hornquist a****2@c****e 9
Abhay Devasthale s****y@k****e 8
Carlos m****s@g****m 8
Nina.Hakansson a****5@c****e 7
Antonio Valentino a****o@t****t 6
Dr. Cornelia Schlundt c****t@d****e 5
Abhay.Devasthale a****2@c****e 5
Adam.Dybbroe a****0@c****e 3
Daniel Lee d****e@e****t 3
Diana Stein d****n@d****e 3
Oliver Sus o****9@g****m 3
Bas Couwenberg s****c@x****l 2
Helga Weber h****r@g****h 2
Oliver Sus o****s@e****t 2
amahdavi a****i@a****e 2
howff a****b@s****k 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 45
Total pull requests: 102
Average time to close issues: 8 months
Average time to close pull requests: about 2 months
Total issue authors: 13
Total pull request authors: 19
Average comments per issue: 4.73
Average comments per pull request: 3.63
Merged pull request: 85
Bot issues: 0
Bot pull requests: 1

Past year issues: 6
Past year pull requests: 14
Past year average time to close issues: 15 days
Past year average time to close pull requests: 6 days
Past year issue authors: 4
Past year pull request authors: 4
Past year average comments per issue: 4.83
Past year average comments per pull request: 1.64
Past year merged pull request: 10
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • carloshorn (12)
  • sfinkens (12)
  • mraspaud (6)
  • oembury (3)
  • ninahakansson (2)
  • helgaweb (2)
  • djhoese (2)
  • vysitu (1)
  • avalentino (1)
  • yukaribbba (1)
  • oliversus (1)
  • erget (1)
  • akasom89 (1)

Top Pull Request Authors

  • sfinkens (35)
  • mraspaud (24)
  • carloshorn (12)
  • ninahakansson (6)
  • oembury (4)
  • avalentino (4)
  • oliversus (3)
  • erget (2)
  • cschlund (2)
  • distein (1)
  • alirezamdv (1)
  • gerritholl (1)
  • spareeth (1)
  • helgaweb (1)
  • stickler-ci[bot] (1)

Top Issue Labels

  • enhancement (8)
  • bug (7)
  • help wanted (4)
  • documentation (2)
  • hacktoberfest (2)
  • question (1)

Top Pull Request Labels

  • enhancement (46)
  • bug (27)
  • documentation (3)

Package metadata

pypi.org: pygac

NOAA AVHRR GAC/LAC/FRAC reader and calibration

  • Homepage: https://github.com/pytroll/pygac
  • Documentation: https://pygac.readthedocs.io/en/stable/
  • Licenses: GPLv3
  • Latest release: 1.7.4 (published 9 months ago)
  • Last Synced: 2025-04-25T14:04:16.032Z (1 day ago)
  • Versions: 15
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 811 Last month
  • Rankings:
    • Dependent packages count: 3.244%
    • Forks count: 7.814%
    • Average: 13.025%
    • Stargazers count: 14.537%
    • Downloads: 17.441%
    • Dependent repos count: 22.088%
  • Maintainers (3)

Dependencies

requirements.txt pypi
  • h5py >=2.0.1
  • numpy >=1.6.1
  • python-geotiepoints >=1.1.8
  • scipy >=0.8.0
.github/workflows/ci.yaml actions
  • actions/checkout v2 composite
  • codecov/codecov-action v2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/deploy-sdist.yaml actions
  • actions/checkout v2 composite
  • pypa/gh-action-pypi-publish v1.4.1 composite
pyproject.toml pypi
continuous_integration/environment.yaml conda
  • bottleneck
  • h5py
  • hdf5
  • numpy
  • packaging
  • pip
  • pytest
  • pytest-cov
  • python-dateutil
  • scipy

Score: 13.48887141760175