Factual package intelligence from PyPI

pycerr 2.1.0 package intelligence

A Computational Environment for Radiological Research

pip install pycerr

Current version
2.1.0
Python requirement
>=3.8
License
GNU General Public License (GPL)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
49.1 MiB
Release history
2 releases with files
Median release cadence
26 days

pycerr dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scipy
  2. pydicom
  3. python-dateutil
  4. h5py
  5. pandas
  6. SimpleITK
  7. nibabel
  8. scikit-learn
  9. scikit-image
  10. PyWavelets
  11. shapelysmooth
  12. matplotlib >=3.5
  13. ipywidgets
  14. surface-distance-based-measures
  15. itk-strain
  16. PyQt5
  17. pyvista
  18. pyvistaqt

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pycerr publishes 1 wheel and 1 source archive for version 2.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for pycerr 2.1.0

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 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .