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JOSS: https://github.com/EnvModellingGroup/hrds

gis modelling numerical-modelling science-research

Score: 13.047639831208393

Last synced: about 19 hours ago
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Repository metadata:

Hierarchical raster data set: smooth interpolation of raster files at different resolutions for multiscale modelling


Owner metadata:


GitHub Events

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Last Year

Committers metadata

Last synced: 3 months ago

Total Commits: 158
Total Committers: 5
Avg Commits per committer: 31.6
Development Distribution Score (DDS): 0.089

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Jon Hill j****l@y****k 144
Chris Barker C****r@n****v 5
Chris Barker P****B@g****m 4
tomc271 t****n@y****k 3
Simon Warder s****5@i****k 2

Issue and Pull Request metadata

Last synced: 4 months ago

Total issues: 23
Total pull requests: 18
Average time to close issues: 4 months
Average time to close pull requests: 12 days
Total issue authors: 4
Total pull request authors: 4
Average comments per issue: 0.96
Average comments per pull request: 0.22
Merged pull request: 15
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • jhill1 (10)
  • edoddridge (9)
  • PythonCHB (3)
  • klaatujk (1)

Top Pull Request Authors

  • jhill1 (11)
  • PythonCHB (5)
  • swarder (1)
  • tomc271 (1)

Top Issue Labels

  • enhancement (8)
  • bug (5)
  • good first issue (1)

Top Pull Request Labels


Package metadata

pypi.org: hrds

Read in multiple raster data files in a hierarchical fashion

  • Homepage: https://github.com/EnvModellingGroup/hrds
  • Documentation: https://hrds.readthedocs.io/
  • Licenses: GNU Lesser General Public License v3 (LGPLv3)
  • Latest release: 0.1.4 (published almost 3 years ago)
  • Last Synced: 2026-04-07T11:02:07.303Z (3 months ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 32 Last month
  • Rankings:
    • Dependent packages count: 7.313%
    • Forks count: 16.94%
    • Stargazers count: 19.37%
    • Average: 19.816%
    • Dependent repos count: 22.093%
    • Downloads: 33.365%
  • Maintainers (1)
conda-forge.org: hrds

hrds is a python package for obtaining points from a set of rasters at different resolutions. You can request a point (or list of points) and hrds will return a value based on the highest resolution dataset (as defined by the user) available at that point, blending datasets in a buffer region to ensure consistancy.

  • Homepage: https://github.com/EnvModellingGroup/hrds
  • Licenses: GPL-3.0
  • Latest release: 0.1.1 (published about 7 years ago)
  • Last Synced: 2026-03-16T21:22:10.390Z (3 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9,246 Total
  • Rankings:
    • Dependent repos count: 34.025%
    • Average: 48.007%
    • Dependent packages count: 51.175%
    • Stargazers count: 52.643%
    • Forks count: 54.185%

Dependencies

conda_requirements.txt pypi
  • gdal *
  • numpy *
  • pytest *
  • python >=3.6
  • scipy >=0.17
requirements.txt pypi
  • numpy >=1.11.0
  • pygdal >=1.1
  • pytest *
  • scipy >=0.17
.github/workflows/python-package.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
pyproject.toml pypi
setup.py pypi