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Porous Materials Python Packages

Python packages with the GitHub topic porous-materials. Sorted by monthly downloads, with stars and forks.
PMEAL
openpnm

A Python package for performing pore network modeling of porous media

10K 541 188
PMEAL
porespy

A set of tools for characterizing and analyzing 3D images of porous materials

7K 424 116
andrewtarzia
spindry

Low-cost host-guest conformer generation

6K 1 0
mtap-research
pacman-charge

A fast and accurate model to estimate DFT quality partial atomic charges of periodic materials

1K 34 1
kjappelbaum
mofdscribe

An ecosystem for digital reticular chemistry

806 52 11
adosar
aidsorb

Python package for deep learning on porous materials and beyond.

411 7 2
adosar
pymoxel

Python package for parallel calculation of energy voxels.

386 7 4
PMEAL
openpnm-test

A Python package for performing pore network modeling of porous media

138 541 188
andrewtarzia
poremapper

cavity shape and size mapping by growing a guest inside a host

128 9 1
EMSL-Computing
pore2chip

A python package that takes XCT images of porous materials and generates representative digital twin micromodels

127 14 5
adosar
retnext

A pretrained model for transfer learning across the MOF adsorption space.

109 1 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology