Factual package intelligence from PyPI

eis_toolkit 1.1.6 package intelligence

EIS Toolkit is a comprehensive collection of tools suitable for mineral prospectivity mapping. This toolkit has been developed as part of the Exploration Information System project which has been funded by European Union.

pip install eis-toolkit

Current version
1.1.6
Python requirement
<3.11,>=3.9
License
EUPL-1.2
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
302.7 KiB
Release history
15 releases with files
Median release cadence
23 days

eis_toolkit dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gdal <4.0.0,>=3.4.3
  2. rasterio <2.0.0,>=1.3.0
  3. pandas <3.0.0,>=2.0.0
  4. geopandas <0.12.0,>=0.11.1
  5. scikit-learn <2.0.0,>=1.1.2
  6. matplotlib <4.0.0,>=3.5.3
  7. statsmodels <0.15.0,>=0.14.0
  8. keras <3.0.0,>=2.9.0
  9. tensorflow <3.0.0,>=2.9.1
  10. beartype <0.14.0,>=0.13.1
  11. seaborn <1.0.0,>=0.13.0
  12. pykrige <2.0.0,>=1.7.0
  13. rtree <2.0.0,>=1.0.1
  14. typer <0.10.0,>=0.9.0
  15. imbalanced-learn <0.12.0,>=0.11.0
  16. pysal <24.0,>=23.7
  17. esda <3.0.0,>=2.5.1
  18. scipy ==1.11.4
  19. numba <0.61.0,>=0.60.0
  20. fiona <1.10.0

Compatibility and release files

eis_toolkit publishes 1 wheel and 1 source archive for version 1.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.9.

Release activity and sources

PyPI lists 15 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .