Factual package intelligence from PyPI

hddm-wfpt 0.1.7 package intelligence

HDDM is a python module that implements Hierarchical Bayesian estimation of Drift Diffusion Models.

pip install hddm-wfpt

Current version
0.1.7
Python requirement
<3.15,>=3.10
License
BSD License
Distribution type
Includes compiled wheel
Release files
36 (35 wheels, 1 source)
Download size
17.9 MiB
Release history
7 releases with files
Median release cadence
183 days

hddm-wfpt dependencies

PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.0
  2. scipy >=1.15.2

Compatibility and release files

hddm-wfpt publishes 35 wheels and 1 source archive for version 0.1.7. Wheel platform tags: macosx_10_13_x86_64, macosx_10_15_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64, manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64, musllinux_1_2_aarch64, musllinux_1_2_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Security snapshot for hddm-wfpt 0.1.7

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.

Release activity and sources

PyPI lists 7 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 .