Factual package intelligence from PyPI

pymedm 2.2.8 package intelligence

Penalized Maximum-Entropy Dasymetric Modeling (P-MEDM) in Python.

pip install pymedm

Current version
2.2.8
Python requirement
>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.3 MiB
Release history
3 releases with files
Median release cadence
1 days

pymedm dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jax >=0.4.31
  2. jaxlib >=0.4.31
  3. jaxopt >=0.8.3
  4. multiprocess >=0.70.15
  5. packaging
  6. numpy >=1.26
  7. pandas >=2.2
  8. scipy >=1.12

The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pymedm publishes 1 wheel and 1 source archive for version 2.2.8. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

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 .