Factual package intelligence from PyPI

deep-data-profiler 2.0.1 package intelligence

The Deep Data Profilerlibrary provides tools for analyzing the internal decision structure of a trained deep neural network.

pip install deep-data-profiler

Current version
2.0.1
Python requirement
Not declared
License
3-Clause BSD license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
106.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

deep-data-profiler dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.10.2
  2. numpy >=1.14.3
  3. networkx >=2.5
  4. scipy
  5. ripser >=0.6.0
  6. powerlaw >=1.4.6
  7. torchvision >=0.11.3
  8. torch-lucent >=0.1.8

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

deep-data-profiler publishes 1 wheel and 1 source archive for version 2.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .

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