graphatoms 1.1.5

The Chemical Core Class for Graph Theory Analysis.

graphatoms

The Chemical Core Class for Graph Theory Analysis.

Overview

The graphatoms is a Python library designed for chemical graph theory analysis. It provides core classes for representing chemical systems and reactions with graph-based data structures.

Features

• Graph-based Chemical System Representation: Represent chemical systems, clusters, and gas molecules using graph theory
• Reaction Modeling: Support for reaction classes, KMC (Kinetic Monte Carlo) events, and MC (Monte Carlo) moves
• Geometry Operations: Bond lists, distance calculations, neighbor lists, rotations, MIC (Minimum Image Convention), and sampling
• Data Storage: Support for HDF5 and SQLite databases for efficient data persistence
• Dataclasses: Pydantic-based data models for type-safe data handling
• Array API Compatibility: Support for array API standard for cross-framework compatibility

Module Structure

src/graphatoms/
├── arrayapi/        # Array API compatibility layer
├── dataclasses/     # Pydantic-based data models
├── geometry/        # Geometric operations
├── reaction/        # Reaction classes and KMC events
│   ├── base/        # Abstract base classes
│   ├── event/       # KMC events (adsorption, desorption, reaction)
│   ├── mcmove/      # Monte Carlo moves
│   ├── mdwarpper/   # MD wrapper
│   └── network/     # Reaction network
├── system/          # Core system classes
│   ├── atoms/       # Atomic structure handling
│   ├── database/    # Database storage backends
│   └── graph/       # Graph-based system representation
└── utils/           # Utility functions

Requirements

• Python >= 3.12
• ase
• pymatgen > 2023.6
• rdkit >= 2025
• scikit-learn >= 1.5
• array-api-compat >= 1.10
• array-api-extra >= 0.10
• pyarrow
• igraph >= 0.11
• h5py >= 3.16
• hydra-core
• numpy >= 2.0.0
• numpydantic
• ovld
• pydantic >= 2.10
• python-snappy >= 0.7.3
• loguru

Installation

pip install graphatoms

Or with conda:

conda install -c conda-forge graphatoms

Development

For development setup with pixi:

pixi install
pixi run test

Running Tests

# Run all tests
pytest src/tests/ -v

# Run benchmark tests
pytest src/tests-benchmark/ -v

License

GPL-3.0-or-later

Authors

• LiuGaoyong ([e-mail])

Links

• Homepage: https://github.com/LiuGaoyong/GraphAtoms
• Repository: https://github.com/LiuGaoyong/GraphAtoms
• Issues: https://github.com/LiuGaoyong/GraphAtoms/issues/