Factual package intelligence from PyPI

masharikiweather 0.1.9 package intelligence

A geostatistical extraction and alignment engine for East African weather and satellite data.

pip install masharikiweather

Current version
0.1.9
Python requirement
>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
124.2 KiB
Release history
11 releases with files
Median release cadence
1 days

masharikiweather dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24.0
  2. pandas >=2.0.0
  3. xarray >=2023.0.0
  4. dask >=2023.10.0
  5. distributed >=2023.10.0
  6. fsspec >=2023.6.0
  7. huggingface_hub >=0.19.0
  8. tqdm >=4.65.0
  9. zarr <3.0.0
  10. netCDF4 >=1.6.4
  11. h5netcdf >=1.2.0
  12. pyarrow >=14.0.0
  13. fastparquet >=2023.10.0
  14. h5py >=3.12.1
  15. scipy >=1.11.0
  16. filter-stations >=0.7.1
  17. pytest >=8.0.0
  18. scikit-learn >=1.4.2

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

masharikiweather publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.