pyomnix 0.1b1

Integrated Tools for Scientific Computing, Data Analysis, and AI Development

🔬 PyOmnix

PyOmnix is an integrated package designed for scientific computing, data analysis, and AI development assistance. It provides a comprehensive suite of tools for data processing, visualization, and AI model integration.

📋 Table of Contents

• Overview
• Installation
• Usage
• Features
• Dependencies
• License

🌟 Overview

PyOmnix is a versatile Python package that combines various tools and utilities for:

• 📊 Data Processing: Efficient data manipulation and analysis tools
• 📈 Scientific Visualization: Advanced plotting capabilities
• 🤖 AI Integration: Seamless AI model integration and management
• ⚙️ Workflow Automation: Streamlined workflow management
• 📝 Logging & Monitoring: Comprehensive logging and monitoring solutions

The package is designed to be modular and extensible, allowing users to integrate different components as needed.

💻 Installation

Installation

pip install pyomnix

For Development

# git clone and cd to dir
pip install -e ".[dev]"

For GUI Support

pip install "pyomnix[gui]"

🚀 Usage

Logger

from pyomnix import setup_logger, get_logger

# Setup logging with default configuration
logger = setup_logger()

# Get a logger instance
logger = get_logger(__name__)

GUI Application

# Launch the GUI application
gui_pan_color

✨ Features

Core Features

• Data Processing: Tools for data manipulation and analysis
• Visualization: Plotting capabilities with matplotlib and plotly
• AI Integration: Support for AI models and frameworks
• Workflow Management: Prefect-based workflow automation

Key Components

• 📁 data_process/: Data processing and analysis tools
• 🤖 model_interface/: AI model integration
• 🛠️ utils/: Utility functions and helpers
• 📝 omnix_logger.py: Advanced logging system

📦 Dependencies

Core Dependencies

Package	Purpose
numpy	Numerical computing
pandas	Data manipulation
matplotlib	Basic plotting
plotly	Interactive visualization
jupyter	Notebook support
prefect	Workflow support
pydantic	Data validation
langchain	AI framework integration
langgraph	Graph-based AI workflows

Optional Dependencies

• PyQt6: GUI support

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.