Factual package intelligence from PyPI

multixrank 0.3 package intelligence

MultiXrank - Universal Multilayer Exploration by Random Walk with Restart. MultiXrank is a Python package for the exploration of heterogeneous multilayer networks, with random walk with restart method. It permits prioritization of nodes between full heterogeneous networks, whatev

pip install multixrank

Current version
0.3
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
56.4 KiB
Release history
2 releases with files
Median release cadence
948 days

multixrank dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. networkx
  2. numpy
  3. pandas
  4. psutil
  5. pyyaml
  6. scipy

Compatibility and release files

multixrank publishes 1 wheel and 1 source archive for version 0.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.