Factual package intelligence from PyPI

DyGyS 0.0.5 package intelligence

DyGyS is a package for Maximum Entropy regression models with gravity specification for undirected and directed network data. Moreover, it can solve them, generate the graph ensemble, compute several network statistics, calculate model selection measures such as AIC and BIC and q

pip install dygys

Current version
0.0.5
Python requirement
>=3.8
License
GNU General Public License v3 (GPLv3)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
96.1 KiB
Release history
2 releases with files
Median release cadence
102 days

DyGyS dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.5
  2. numba >=0.55.1
  3. numba-scipy >=0.3.1
  4. tomli when python_version >= "3.8"

Compatibility and release files

DyGyS publishes 1 wheel and 1 source archive for version 0.0.5. Wheel platform tags: any.

Declared Python classifiers: 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .