Factual package intelligence from PyPI

stack-to-chunk 2.3.1 package intelligence

Convert stacks of images to OME-Zarr

pip install stack-to-chunk

Current version
2.3.1
Python requirement
>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
37.7 KiB
Release history
5 releases with files
Median release cadence
92 days

stack-to-chunk dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dask >=2026
  2. joblib >=1.5
  3. loguru >=0.7
  4. numpy >=2
  5. ome-zarr-models >=1.3
  6. pydantic-zarr >=0.9
  7. scikit-image >=0.25
  8. zarr >=3.1
  9. numcodecs >=0.16
  10. tensorstore >=0.1.80
  11. scipy >=1.16.0
  12. slicerator >=1

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

stack-to-chunk publishes 1 wheel and 1 source archive for version 2.3.1. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13, 3.14.

Security snapshot for stack-to-chunk 2.3.1

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.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 5 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 .