Factual package intelligence from PyPI

AnomalousLib 0.2.3 package intelligence

AnomalousLib is a Python library designed for the study of anomalous diffusion. It enables dataset generation, statistical analysis, model inference, and integrated result visualization.

pip install anomalouslib

Current version
0.2.3
Python requirement
>=3.12.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.3 KiB
Release history
12 releases with files
Median release cadence
0 days

AnomalousLib dependencies

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

  1. numpy >=2.2.6
  2. scipy >=1.15.3
  3. fbm >=0.3.0
  4. pandas >=2.2.3
  5. scikit-learn >=1.6.1
  6. torch >=2.7.0
  7. dill >=0.4.0
  8. matplotlib >=3.10.3

Compatibility and release files

AnomalousLib publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .