Factual package intelligence from PyPI

regelum-control 0.3.3 package intelligence

Regelum is a flexibly configurable framework for agent-environment simulation with a menu of predictive and reinforcement learning pipelines.

pip install regelum-control

Current version
0.3.3
Python requirement
<4.0,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
276.5 KiB
Release history
4 releases with files
Median release cadence
5 days

regelum-control dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.13.1
  2. numpy >=1.25.2
  3. scipy >=1.11.0
  4. omegaconf <3.0.0,>=2.3.0
  5. gitpython <4.0.0,>=3.1.42
  6. mlflow ==2.4.1
  7. pandas >=1.5.3
  8. tables >=3.8.0
  9. pyqt5 ==5.15.10
  10. pyqt5-qt5 <=5.15.13,>=5.15.2
  11. casadi <4.0.0,>=3.6.5
  12. cues <0.4.0,>=0.3.0
  13. svgpathtools <2.0.0,>=1.6.1
  14. dill <0.4.0,>=0.3.8
  15. matplotlib >=3.7.1
  16. svgpath2mpl <2.0.0,>=1.0.0
  17. plotly >=5.15.0
  18. rehydra ==1.3.5

The compact report shows 18 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

regelum-control publishes 1 wheel and 1 source archive for version 0.3.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.