Factual package intelligence from PyPI
Python library for optimal psychophysics design and adaptive testing
pip install optimal-psychophysics
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
optimal-psychophysics publishes 12 wheels and 1 source archive for version 0.1.1. Wheel platform tags: macosx_10_12_x86_64, macosx_11_0_arm64, manylinux_2_17_aarch64.manylinux2014_aarch64, manylinux_2_17_i686.manylinux2014_i686, manylinux_2_17_ppc64le.manylinux2014_ppc64le, manylinux_2_17_s390x.manylinux2014_s390x, manylinux_2_17_x86_64.manylinux2014_x86_64, musllinux_1_2_aarch64, musllinux_1_2_i686, musllinux_1_2_x86_64, win32, win_amd64.
No version-specific Python classifiers are declared.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 2 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 .
The project does not publish external project URLs in its PyPI metadata.