Factual package intelligence from PyPI

neurospatial 0.6.0 package intelligence

Discretize continuous N-dimensional spatial environments into bins/nodes with connectivity graphs

pip install neurospatial

Current version
0.6.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
25.5 MiB
Release history
4 releases with files
Median release cadence
30 days

neurospatial dependencies

PyPI declares 51 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. alphashape >=1.3.0
  2. matplotlib >=3.7.0
  3. networkx >=3.0
  4. numpy >=1.24.0
  5. pandas >=2.0.0
  6. scikit-image >=0.19.0
  7. scikit-learn >=1.2.0
  8. scipy >=1.10.0
  9. shapely >=2.0.0
  10. tqdm >=4.67.1
  11. track-linearization >=2.4.0

The compact report shows 12 of 51 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

neurospatial publishes 1 wheel and 1 source archive for version 0.6.0. Wheel platform tags: any.

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

Security snapshot for neurospatial 0.6.0

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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .