Axiora

Axiora is a comprehensive Business Intelligence (BI) and data analytics platform that bridges the gap between complex data analysis and user-friendly interfaces. It empowers users of all technical backgrounds to analyze, visualize, and forecast data, generate automated reports, and make data-driven decisions with confidence.

Features

• Modern, Intuitive UI: Built with PySide6, featuring responsive layouts, theming (dark/light modes), and reusable widgets.
• Data Analysis & Visualization:
  • Time series forecasting
  • Statistical analysis
  • Pattern recognition
  • Interactive charts and dashboards
• Automated Reporting:
  • PDF report generation
  • Customizable templates
  • Scheduled and on-demand exports
• Data Management:
  • Centralized, secure storage using SQLite
  • Efficient data import/export
  • Data validation and consistency
• User Management:
  • Secure authentication
  • Role-based access control
  • User preferences and activity logging
• Extensibility:
  • Modular architecture for easy feature addition
  • Plugin and theme support

System Architecture

Axiora follows a modular, MVC-inspired architecture:

User Input → UI Layer → Controller → Model → Database
Database → Model → Controller → UI Layer → Visualization

• Core: Axiora.py, DatabaseManager.py, DataAnalyzer.py, Visualizer.py
• UI: main_ui.py, uiEXT/, widgets/, themes/
• Data Processing: time_series_forecaster.py, Functions.py, Axioradb.py

Installation

1. Clone the repository:

   git clone <repo-url>
   cd Axiora

2. Set up a virtual environment (recommended):

   python -m venv my_env
   my_env\Scripts\activate  # On Windows
   # Or
   source my_env/bin/activate  # On macOS/Linux

3. Install dependencies:

   pip install -r requirments.txt

4. Run the application:

   python Axiora.py

Usage

• Login: Start the app and log in with your credentials.
• Data Import: Import datasets (CSV, Excel, etc.) via the UI.
• Analysis: Use built-in tools for forecasting, statistical analysis, and visualization.
• Reporting: Generate and export reports in PDF or other formats.
• Customization: Switch between light/dark themes and configure user preferences.

File Structure

• Axiora.py – Main application entry point
• modules/ – Core modules (settings, UI functions, dialogs, etc.)
• uiEXT/ – Extended UI components and dialogs
• widgets/ – Custom widgets
• themes/ – Theme files (QSS)
• images/ – Icons and images
• axioradb.db – Local SQLite database
• test/ – (Recommended) Unit and UI tests

Development Guidelines

• Follow the code organization and naming conventions in .cursorrules.
• Write docstrings for all functions and modules.
• Use feature branches and pull requests for new features.
• Add unit/UI tests for new functionality.

Requirements

• Python 3.8+
• PySide6
• matplotlib
• pandas
• reportlab
• selenium
• langchain-core
• (See requirments.txt for full list)

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/your-feature)
3. Commit your changes
4. Open a pull request

License

MIT License

Acknowledgments

• Inspired by modern BI and analytics platforms
• Uses open-source Python libraries for data science and UI