Factual package intelligence from PyPI

glycoforge 0.3.0 package intelligence

A simulation tool for generating glycomic relative abundance datasets with customizable biological group differences and controllable batch-effect injection

pip install glycoforge

Current version
0.3.0
Python requirement
<3.14,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
111.8 KiB
Release history
7 releases with files
Median release cadence
25 days

glycoforge dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. pandas >=1.3.0
  3. scipy >=1.7.0
  4. scikit-learn >=1.0.0
  5. matplotlib >=3.5.0
  6. seaborn >=0.11.0
  7. glycowork >=1.9.0

Compatibility and release files

glycoforge publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Security snapshot for glycoforge 0.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .