Factual package intelligence from PyPI

AeroViz 0.3.4 package intelligence

Aerosol data processing and visualization toolkit. Read, QC, and analyze data from SMPS, APS, AE33, TEOM, Nephelometer, XRF, and 15+ atmospheric instruments.

pip install aeroviz

Current version
0.3.4
Python requirement
>=3.10
License
MIT
Distribution type
Includes compiled wheel
Release files
16 (15 wheels, 1 source)
Download size
66.7 MiB
Release history
7 releases with files
Median release cadence
2 days

AeroViz dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.2.0
  2. numpy >=2.0.0
  3. matplotlib >=3.8.4
  4. scipy >=1.15.0
  5. seaborn >=0.13.2
  6. scikit-learn >=1.5.1
  7. windrose >=1.9.2
  8. cartopy >=0.24.1
  9. tabulate >=0.9.0
  10. rich ~=13.9.4
  11. numba >=0.63.0
  12. plotly >=5.0

The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

AeroViz publishes 15 wheels and 1 source archive for version 0.3.4. Wheel platform tags: macosx_14_0_arm64, manylinux_2_27_x86_64.manylinux_2_28_x86_64, win_amd64.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .