Factual package intelligence from PyPI

pybanksy 1.3.5 package intelligence

BANKSY: Spatial Clustering Algorithm that Unifies Cell-Typing and Tissue Domain Segmentation. It reduces the spatial clustering problem to a previously solved problem--generic graph based clustering--

pip install pybanksy

Current version
1.3.5
Python requirement
<3.14,>=3.8
License
GPL-3.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
158.7 KiB
Release history
6 releases with files
Median release cadence
1 days

pybanksy dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. anndata >=0.8.0
  2. numpy >=1.21
  3. scipy >=1.7.0
  4. pandas >=1.3.0
  5. scikit-learn >=1.0.0
  6. matplotlib >=3.4.0
  7. seaborn >=0.11.0
  8. scanpy >=1.8.0
  9. umap-learn >=0.5.0
  10. python-igraph >=0.9.0
  11. leidenalg >=0.8.0
  12. h5py >=3.0.0

The compact report shows 12 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pybanksy publishes 1 wheel and 1 source archive for version 1.3.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.8, 3.9.

Security snapshot for pybanksy 1.3.5

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 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .