Factual package intelligence from PyPI

lab-optimizer 1.3.1 package intelligence

A collection of optimization algorithms

pip install lab-optimizer

Current version
1.3.1
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
66.4 KiB
Release history
7 releases with files
Median release cadence
1 days

lab-optimizer dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. M-LOOP >=3.3.5
  2. scikit-opt >=0.6.6
  3. scikit-learn >=1.2.2
  4. numpy >=1.26.4
  5. scipy >=1.14.0
  6. matplotlib >=3.9.2
  7. pandas >=1.5.3
  8. seaborn >=0.12.2
  9. plotly >=5.24.1
  10. torch >=2.3.1

Compatibility and release files

lab-optimizer publishes 1 wheel and 1 source archive for version 1.3.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

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 .