Factual package intelligence from PyPI

simcats-datasets 2.6.1 package intelligence

SimCATS-Datasets is a Python package that simplifies the creation and loading of SimCATS datasets.

pip install simcats-datasets

Current version
2.6.1
Python requirement
>=3.7
License
GPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
115.3 KiB
Release history
4 releases with files
Median release cadence
123 days

simcats-datasets dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. bezier
  2. bm3d
  3. h5py
  4. hdf5storage
  5. numpy
  6. opencv-python
  7. pandas
  8. parallelbar
  9. parse
  10. scikit-image
  11. simcats >=2.0.0
  12. torch
  13. tqdm
  14. xarray

Compatibility and release files

simcats-datasets publishes 1 wheel and 1 source archive for version 2.6.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.7, 3.8, 3.9.

Security snapshot for simcats-datasets 2.6.1

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