Factual package intelligence from PyPI

pycity-scheduling 1.4.3 package intelligence

A Python framework for the development, testing, and assessment of optimization-basedpower scheduling algorithms for multi-energy systems in city districts

pip install pycity-scheduling

Current version
1.4.3
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.5 MiB
Release history
10 releases with files
Median release cadence
170 days

pycity-scheduling dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.26.0
  2. pandas ==2.1.1
  3. matplotlib ==3.8.0
  4. pyomo ==6.9.5
  5. gurobipy ==13.0.0
  6. pycity_base ==0.3.3
  7. scikit-learn ==1.3.2
  8. psutil ==6.1.0
  9. pyarrow ==17.0.0
  10. ray ==2.40.0

Compatibility and release files

pycity-scheduling publishes 1 wheel and 1 source archive for version 1.4.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.