Factual package intelligence from PyPI
TOMCA (Tissue Optics Monte Carlo Analysis) is a TNO package written for Monte Carlo analysis of light through tissues and scattering media based on the MCX package. TOMCA helps organize shared functions between projects and aims to make research, simulation, and analysis easier.
pip install tomca
PyPI declares 60 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==2.2.1==2.0.1==0.2.0==0.10.0==0.4.6==0.1.2==1.0.7==0.11.0==0.5.7==1.6.6==5.1.1==0.4==1.2.0==4.38.0==6.20.2==8.8.0==0.5.2==0.18.2==4.1.2==1.4.4==4.3.0==3.19.0==1.5.1==3.6.3==0.1.6The compact report shows 25 of 60 declarations. The interactive dependency graph loads the complete metadata.
tomca publishes 0 wheels and 0 source archives for version 0.0.0.dev8. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.6, 3.7, 3.8, 3.9.
PyPI does not currently declare: release timestamp, release files, license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 0 releases with files. The first dated release is ; 0 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on .