Factual package intelligence from PyPI

nirs4all-datasets 0.3.8 package intelligence

A citable, reproducible bank of raw NIRS reference datasets — multi-source/multi-target, tier-governed, with on-demand checksum-verified access from each dataset's origin.

pip install nirs4all-datasets

Current version
0.3.8
Python requirement
>=3.11
License
CECILL-2.1 OR AGPL-3.0-or-later
Distribution type
Includes compiled wheel
Release files
4 (3 wheels, 1 source)
Download size
23.9 MiB
Release history
13 releases with files
Median release cadence
1 days

nirs4all-datasets dependencies

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

  1. numpy >=1.24.0
  2. scipy >=1.10.0
  3. pandas >=2.0.0
  4. pyarrow >=14.0.0
  5. pydantic >=2.0.0
  6. pyyaml >=6.0.0
  7. jsonschema >=4.17.0
  8. python-dotenv >=1.0.0
  9. matplotlib >=3.7.0
  10. requests >=2.31.0
  11. typer >=0.12.0

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

Compatibility and release files

nirs4all-datasets publishes 3 wheels and 1 source archive for version 0.3.8. Wheel platform tags: macosx_11_0_arm64, manylinux_2_34_x86_64, win_amd64.

Declared Python classifiers: 3.11, 3.12.

Security snapshot for nirs4all-datasets 0.3.8

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 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .