Factual package intelligence from PyPI

veg-seg 0.1.2 package intelligence

A package for classifying vegetation from lidar point clouds

pip install veg-seg

Current version
0.1.2
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
248.2 KiB
Release history
3 releases with files
Median release cadence
79 days

veg-seg dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib
  2. ipython
  3. graphviz
  4. scikit-learn
  5. pandas
  6. geopandas
  7. scipy
  8. tqdm
  9. pydot
  10. laspy
  11. lazrs
  12. numpy ==1.26.4 when platform_system == "Windows"
  13. tensorflow ==2.17 when platform_system == "Linux"
  14. tensorflow-gpu ==2.10.1 when platform_system == "Windows"

Compatibility and release files

veg-seg publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .