Package data summary

bayesian-optimization 3.3.0 package intelligence

Bayesian Optimization package

pip install bayesian-optimization

Current version
3.3.0
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
67.4 KiB
Release history
29 releases with files
Median release cadence
52 days

bayesian-optimization dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. colorama >=0.4.6
  2. numpy >=1.25 when python_full_version < "3.13"
  3. numpy >=2.1.3 when python_full_version >= "3.13"
  4. packaging >=20.0
  5. scikit-learn >=1.0.0
  6. scipy >=1.0.0 when python_full_version < "3.13"
  7. scipy >=1.14.1 when python_full_version >= "3.13"

The compact report shows 12 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

bayesian-optimization publishes 1 wheel and 1 source archive for version 3.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.9.

Security snapshot for bayesian-optimization 3.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Packages that depend on bayesian-optimization

deps.dev reports 68 direct and 135 total known dependents for version 3.3.0, checked on .

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 29 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 .

1 historical release is fully yanked in PyPI metadata.

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