Factual package intelligence from PyPI

ures-visual 1.0.3 package intelligence

A comprehensive, multi-backend visualization library designed for scientific research, data analysis, and machine learning, built on Polars DataFrames with matplotlib/seaborn, plotly, and HoloViews backends.

pip install ures-visual

Current version
1.0.3
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
103.6 KiB
Release history
2 releases with files
Median release cadence
0 days

ures-visual dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. polars <2.0.0,>=1.32.2
  2. matplotlib <4.0.0,>=3.10.5
  3. numpy <2.3,>=2.2
  4. statsmodels <0.15.0,>=0.14.5
  5. seaborn <0.14.0,>=0.13.2
  6. plotly <7.0.0,>=6.2.0
  7. kaleido <2.0.0,>=1.0.0
  8. scipy <2.0.0,>=1.16.1
  9. scikit-learn <2.0.0,>=1.7.1
  10. holoviews <2.0.0,>=1.21.0
  11. bokeh <4.0.0,>=3.7.3
  12. psutil <8.0.0,>=7.0.0
  13. pyarrow <22.0.0,>=21.0.0

Compatibility and release files

ures-visual publishes 1 wheel and 1 source archive for version 1.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Metadata completeness

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

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 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.