Factual package intelligence from PyPI

TensorImgPipeline 1.2.5 package intelligence

This is a repository for creating and running Tipi Pipelines.

pip install tensorimgpipeline

Current version
1.2.5
Python requirement
<4.0,>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
363.9 KiB
Release history
10 releases with files
Median release cadence
1 days

TensorImgPipeline dependencies

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

  1. defusedxml >=0.7.1
  2. jinja2 >=3.1.0
  3. matplotlib >=3.9.4
  4. numpy >=2.0.2
  5. opencv-python >=4.11.0.86
  6. polars >=1.42.1
  7. pyarrow >=24.0.0
  8. pydantic >=2.0.0
  9. rich >=13.9.4
  10. scipy >=1.17.0
  11. seaborn >=0.13.2
  12. torch >=2.6.0

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

Compatibility and release files

TensorImgPipeline publishes 1 wheel and 1 source archive for version 1.2.5. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for TensorImgPipeline 1.2.5

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 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .