pyomnix 0.2

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

PyOmnix

PyOmnix is a Python toolkit for scientific data workflows, plotting, and AI-oriented utilities. It is built as a modular library so you can use only the components you need.

Overview

PyOmnix currently provides:

• Data processing helpers for experimental/scientific tabular data.
• Plotting utilities built around Matplotlib and Plotly.
• GUI tools for fast data inspection and manipulation.
• Agent-related modules for model/tool orchestration.
• Logging, environment, file, and math utility helpers.

Installation

Base

pip install pyomnix

Optional extras

# GUI support (PyQt6 + WebEngine)
pip install "pyomnix[gui]"

# Web-related tools
pip install "pyomnix[web]"

# Development toolchain
pip install -e ".[dev]"

Quick Start

Logging

from pyomnix import setup_logger, get_logger

setup_logger()
logger = get_logger(__name__)
logger.info("PyOmnix is ready.")

Data Manipulator

from pyomnix.data_process import DataManipulator

dm = DataManipulator(1)
# Example:
# dm.load_dfs(loc=0, data_in="data.csv")
# dfs = dm.get_datas(loc=0)

CLI Entry Points

After installation, these commands are available:

• gui_pan_color: Launch the color palette selector.
• gui_easy_data: Launch the PyQt-based data GUI.

Project Structure

• src/pyomnix/data_process/: data loading, splitting, plotting, GUI tools.
• src/pyomnix/utils/: reusable data/math/plot/environment/file utilities.
• src/pyomnix/agents/: graph, node, tool, prompt, storage, and settings modules.
• src/pyomnix/omnix_logger.py: logging framework used across the project.
• src/pyomnix/pltconfig/: plotting and color configuration assets.

Development

# Lint
ruff check .

# Format (if you use black in your workflow)
black .

# Run tests
pytest

Requirements

• Python >=3.12

See pyproject.toml for the complete dependency list.

License

This project is licensed under the MIT License. See LICENSE for details.