Open Sustainable Technology

A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

Browse accepted projects | Review proposed projects | Propose new project | Open Issues

PyESD

Downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets to point scale.
https://github.com/Dan-Boat/PyESD

deep-learning downscaling ensemble-machine-learning machine-learning precipitation sckit-learn tensorflow2

Last synced: about 7 hours ago
JSON representation

Repository metadata

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 7 hours ago

Total Commits: 158
Total Committers: 2
Avg Commits per committer: 79.0
Development Distribution Score (DDS): 0.07

Commits in past year: 54
Committers in past year: 1
Avg Commits per committer in past year: 54.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Dan-Boat d****g@g****m 147
Daniel Boateng 6****t 11

Committer domains:


Issue and Pull Request metadata

Last synced: 5 days ago

Total issues: 2
Total pull requests: 0
Average time to close issues: 3 months
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 0
Average comments per issue: 3.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: 3 months
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 3.5
Past year average comments per pull request: 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/Dan-Boat/PyESD

Top Issue Authors

  • gkb999 (2)

Top Pull Request Authors


Top Issue Labels

Top Pull Request Labels


Package metadata

pypi.org: pyesd

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

  • Homepage: https://github.com/Dan-Boat/PyESD
  • Documentation: https://pyesd.readthedocs.io/
  • Licenses: MIT license
  • Latest release: 1.0.7 (published 5 months ago)
  • Last Synced: 2023-12-05T02:04:34.444Z (5 days ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 45 Last month
  • Rankings:
    • Dependent packages count: 6.633%
    • Stargazers count: 18.624%
    • Average: 21.59%
    • Forks count: 30.492%
    • Dependent repos count: 30.611%
  • Maintainers (2)

Dependencies

setup.py pypi
  • Cartopy *
  • eofs *
  • keras *
  • mpi4py *
  • numpy *
  • pandas *
  • scipy *
  • seaborn *
  • sklearn *
  • statsmodels *
  • tensorflow *
  • xarray *
environment.yml pypi
requirements.txt pypi
  • Keras-Preprocessing >=1.1.2
  • cftime >=1.6.0
  • eofs >=1.4.0
  • geopandas ==0.12.1
  • keras >=2.8.0
  • numpy >=1.19.5
  • pandas >=1.3.4
  • scikit-image >=0.18.3
  • scikit-learn >=1.1.1
  • scikit-learn-intelex >=2021.20210714.120553
  • scikit-optimize >=0.9.0
  • scipy >=1.7.1
  • seaborn >=0.11.2
  • setuptools >=67.6.0
  • tensorflow >=2.8.0
  • twine >=4.0.2
  • xarray >=2022.3.0
  • xgboost >=1.5.2
requirements_dev.txt pypi
  • Sphinx * development
  • Sphinx-rtd-theme * development
  • bump2version * development
  • coverage * development
  • flake8 * development
  • grip * development
  • h5netcdf * development
  • importlib-metadata >=4.4 development
  • matplotlib * development
  • netCDF4 * development
  • packaging >=21.3 development
  • pip * development
  • pydocstyle * development
  • pytest * development
  • pytest-cov * development
  • pytest-runner * development
  • setuptools * development
  • tox * development
  • twine * development
  • watchdog * development
  • wheel * development

Score: 7.740664401917241