PyGAMLab

A Scientific Python Library

PyGamLab is a scientific Python library for researchers, engineers, and students who need powerful tools for nanostructure generation, alloy design, material data exploration, and AI-driven analysis. Designed for simplicity, clarity, and usability.

Key Features

PyGamLab allows you to generate, manipulate, and visualize atomic and nanostructures with ease.

Create crystalline lattices, nanoparticles, and alloy structures.

Visualize structures in 2D and 3D using built-in plotting tools.

Export structures to common file formats for simulation software.

Modify structures dynamically to study defects, substitutions, or surface effects.

This feature is especially useful for simulation preparation, nanostructure design, and teaching purposes.

Structure Builder

Create and manipulate atomic and molecular structures with intuitive APIs for crystals, surfaces, and nanoparticles.

Data Analyzer

Process and analyze experimental data with statistical tools, curve fitting, and advanced signal processing capabilities.

AI Models

Access pre-trained machine learning models for property prediction, structure optimization, and materials discovery.

Database Connector

Seamlessly connect to materials databases including Materials Project, AFLOW, and custom repositories.

Unit Converter

Convert between physical units, access fundamental constants, and apply engineering formulas with precision.

Visualization Tools

Generate publication-quality figures, interactive 3D visualizations, and animated structure trajectories.

Comprehensive Documentation

Access detailed documentation for all PyGamLab V2 modules, including API references, tutorials, and best practices for using the library in your research projects.

API Reference for all modules
Step-by-step tutorials
Code examples and snippets
Best practices and tips
FAQ and troubleshooting guide

READ Documentation