JacksonBurns/fastprop
Fast Molecular Property Prediction with mordredcommunity
Used by 1 other package. Available on PyPI.
Stars
58
Forks
10
Language
Python
License
MIT
Category
Last pushed
Dec 12, 2025
Commits (30d)
0
Dependencies
11
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JacksonBurns/fastprop"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
deepmodeling/deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
mir-group/nequip
NequIP is a code for building E(3)-equivariant interatomic potentials
CederGroupHub/chgnet
Pretrained universal neural network potential for charge-informed atomistic modeling...
microsoft/mattersim
MatterSim: A deep learning atomistic model across elements, temperatures and pressures.