Factual package intelligence from PyPI

spatialproteomics 0.8.4 package intelligence

Spatialproteomics is an interoperable toolbox for analyzing highly multiplexed fluorescence image data

pip install spatialproteomics

Current version
0.8.4
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
183.7 KiB
Release history
36 releases with files
Median release cadence
15 days

spatialproteomics dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cffi >=1.15.0
  2. xarray >=2024.0.0
  3. scikit-image >=0.25
  4. matplotlib >=3.8.0
  5. tqdm >=4.64.0
  6. scikit-learn >=1.4.2
  7. zarr
  8. numpy >=1.23
  9. opencv-python >=4.11.0
  10. pyyaml >=6.0

The compact report shows 25 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

spatialproteomics publishes 1 wheel and 1 source archive for version 0.8.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 36 releases with files. The first dated release is ; 14 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.