Factual package intelligence from PyPI

embedding-disruptiveness 2.0.0 package intelligence

A Python package to calculate the disruption index and embedding disruptiveness measure using a citation network.

pip install embedding-disruptiveness

Current version
2.0.0
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
45.8 KiB
Release history
3 releases with files
Median release cadence
246 days

embedding-disruptiveness dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm
  2. numpy
  3. scikit-learn
  4. torch
  5. scipy
  6. numba

Compatibility and release files

embedding-disruptiveness publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 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 .