Factual package intelligence from PyPI

gob 0.0.7 package intelligence

A collection of global optimization algorithms implemented in C++ and linked with Python.

pip install gob

Current version
0.0.7
Python requirement
Not declared
License
Not declared
Distribution type
Includes compiled wheel
Release files
16 (15 wheels, 1 source)
Download size
88.0 MiB
Release history
7 releases with files
Median release cadence
18 days

gob dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.1.3
  2. Cython >=3.0.11
  3. nlopt >=2.9.1
  4. prettytable >=3.16.0
  5. bayesian-optimization >=3.1.0
  6. packaging >=25
  7. gkls >=1.0.2
  8. scipy >=1.16.3
  9. statsmodels >=0.14.5

Compatibility and release files

gob publishes 15 wheels and 1 source archive for version 0.0.7. Wheel platform tags: macosx_11_0_arm64, manylinux2014_x86_64.manylinux_2_17_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, 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 .