Factual package intelligence from PyPI

pyESD 1.0.7 package intelligence

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 p

pip install pyesd

Current version
1.0.7
Python requirement
>=3.7
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
106.8 KiB
Release history
3 releases with files
Median release cadence
49 days

pyESD dependencies

PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cftime >=1.6.0
  2. eofs >=1.4
  3. geopandas >=0.12
  4. numpy >=1.21
  5. pandas >=1.3
  6. scikit-learn >=0.24
  7. scikit-optimize >=0.9.0
  8. scipy >=1.7
  9. seaborn >=0.11
  10. tensorflow >=2.8.0
  11. xarray >=2023.1
  12. xgboost >=1.5
  13. cycler >=0.10

The compact report shows 25 of 34 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pyESD publishes 1 wheel and 1 source archive for version 1.0.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .