Factual package intelligence from PyPI

datasci-utils 0.1.0 package intelligence

A comprehensive Python package designed for efficient manipulation and analysis of time series data at scale. Whether you’re working with financial data, retail metrics, or any time-based datasets, tsacme provides the tools you need to clean, analyze, and preprocess your data eff

pip install datasci-utils

Current version
0.1.0
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.5 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

datasci-utils dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <3.0.0,>=2.2.3
  2. pandas <3.0.0,>=2.2.3
  3. scikit-learn <2.0.0,>=1.6.1
  4. plotnine <0.15.0,>=0.14.5
  5. black <26.0.0,>=25.1.0
  6. matplotlib <4.0.0,>=3.10.0
  7. pylint <4.0.0,>=3.3.4

Compatibility and release files

datasci-utils publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

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 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.