Factual package intelligence from PyPI

swectral 0.6.5 package intelligence

A Python framework for automated batch composition, implementation and method assessment of plant hyperspectral modeling pipelines.

pip install swectral

Current version
0.6.5
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
610.5 KiB
Release history
15 releases with files
Median release cadence
4 days

swectral dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pydantic >=2.11.7
  2. pandas >=1.5.2
  3. numpy >=1.24.3
  4. tqdm >=4.65.0
  5. rasterio >=1.4.2
  6. pathos >=0.3.4
  7. torch >=2.0.0
  8. scikit-learn >=1.6.1
  9. scipy >=1.13.1
  10. statsmodels >=0.14.6
  11. dill >=0.4.0
  12. matplotlib >=3.9.4
  13. beautifulsoup4 >=4.12.2
  14. lxml >=4.9.3
  15. geopandas >=1.0.1
  16. pyproj >=3.5.0
  17. shapely >=2.0.1
  18. zstandard >=0.23.0
  19. PyWavelets >=1.6.0

The compact report shows 25 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

swectral publishes 1 wheel and 1 source archive for version 0.6.5. Wheel platform tags: any.

Declared Python classifiers: 3.9.

Release activity and sources

PyPI lists 15 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .