Factual package intelligence from PyPI

nirs4all 0.11.0 package intelligence

A comprehensive Python library for Near-Infrared Spectroscopy (NIRS) data analysis with ML/DL pipelines.

pip install nirs4all

Current version
0.11.0
Python requirement
>=3.11
License
CeCILL-2.1 OR AGPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.1 MiB
Release history
40 releases with files
Median release cadence
2 days

nirs4all dependencies

PyPI declares 70 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.0.0
  2. pandas >=2.2.2
  3. scipy >=1.13.0
  4. scikit-learn >=1.5.0
  5. polars >=1.0.0
  6. pyarrow >=14.0.0
  7. h5py >=3.8.0
  8. PyWavelets >=1.4.0
  9. pybaselines >=1.2.1
  10. optuna >=3.0.0
  11. joblib >=1.2.0
  12. jsonschema >=4.17.0

The compact report shows 12 of 70 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

nirs4all publishes 1 wheel and 1 source archive for version 0.11.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for nirs4all 0.11.0

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.

Release activity and sources

PyPI lists 40 releases with files. The first dated release is ; 37 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .