Factual package intelligence from PyPI

vision-loom 0.2.2 package intelligence

Framework to create labeling data from VLM and other larger models for computer vision tasks

pip install vision-loom

Current version
0.2.2
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
36.9 KiB
Release history
4 releases with files
Median release cadence
0 days

vision-loom dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch <3.0,>=2.1
  2. torchvision <1.0,>=0.16
  3. transformers <6.0,>=4.40
  4. accelerate <2.0,>=0.30
  5. tokenizers <1.0,>=0.15
  6. safetensors <1.0,>=0.4
  7. huggingface_hub <2.0,>=0.20
  8. numpy <3.0,>=1.26
  9. networkx <4.0,>=3.0
  10. sympy <2.0,>=1.12
  11. mpmath <2.0,>=1.3
  12. pillow <13.0,>=10.0

The compact report shows 12 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vision-loom publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 4 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 .