Factual package intelligence from PyPI

ChemLogic 0.1.3 package intelligence

ChemLogic is a neurosymbolic framework that integrates relational logic syntax with various graph neural network (GNN) architectures to model chemical knowledge. It encodes functional groups and molecular subgraph patterns into a differentiable, explainable architecture, enabling

pip install chemlogic

Current version
0.1.3
Python requirement
==3.11.*
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
12.1 MiB
Release history
4 releases with files
Median release cadence
114 days

ChemLogic dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. neuralogic ==0.8.0
  2. scikit-learn >=1.6.1
  3. RDKit >=2025.3.2
  4. pysmiles >=2.0.0
  5. torch-geometric >=2.6.1
  6. torch >=2.7.1
  7. safetensors >=0.8.0
  8. pydantic >=2.0.0
  9. pandas >=2.0.0

Compatibility and release files

ChemLogic publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Security snapshot for ChemLogic 0.1.3

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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .