pynoply 0.1.6a0

A GPU-accelerated NetCDF viewer and editor

Pynoply

A GPU-accelerated NetCDF viewer and editor

⚠️ Alpha Version - Work in Progress

Pynoply is currently in alpha development. Features are being actively developed and the API may change. Use at your own risk and please report any issues you encounter!

Features

• GPU-Accelerated Visualization - Leverages VisPy for hardware-accelerated rendering
• Multi-dimensional Data - Navigate through time series and depth layers
• Multiple Colormaps - Viridis, Magma, Plasma, and more
• Attribute Editing - Modify NetCDF global and variable attributes
• Format Conversion - Save with compression and format options
• Smart GPU Selection - Automatically detects and uses dedicated GPUs (NVIDIA, Intel)
• Integrated File Browser - Browse and open NetCDF files directly
• Real-time Monitoring - Track GPU, RAM, and CPU usage

Installation

From PyPI (Recommended)

pip install pynoply

From Source (Development)

# Clone the repository
git clone https://github.com/polymood/Pynoply.git
cd Pynoply

# Create a virtual environment (recommended)
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install in editable mode with dependencies
pip install -e .

Usage

After installation, launch Pynoply from the command line:

pynoply

Or run as a Python module:

python -m pynoply

Requirements

• Python 3.10 or higher
• PySide6
• NumPy
• xarray
• VisPy
• psutil
• Matplotlib
• Pillow

For GPU acceleration, NVIDIA drivers (for NVIDIA GPUs) or Mesa (for Intel/AMD) are required.

GPU Selection

Pynoply automatically detects available GPUs and prefers dedicated GPUs (e.g., NVIDIA) over integrated graphics. You can manually select which GPU to use:

1. Open Tools → GPU Settings
2. Select your preferred GPU
3. Click Apply & Restart

Development

Project Structure

Pynoply/
├── src/
│   └── pynoply/
│       ├── __init__.py          # Package initialization
│       ├── __main__.py          # Entry point
│       ├── main_window.py       # Main application window
│       ├── constants.py         # Application constants
│       ├── gpu/                 # GPU detection and management
│       ├── workers/             # Background worker threads
│       ├── widgets/             # Custom Qt widgets
│       ├── dialogs/             # Dialog windows
│       └── utils/               # Utility functions
├── pyproject.toml               # Project metadata and dependencies
├── README.md                    # This file
└── LICENSE                      # MIT License

Running Tests

# Install development dependencies
pip install -e ".[dev]"

# Run tests (once test suite is created)
pytest

Code Style

This project uses:

• Black for code formatting
• Ruff for linting
• mypy for type checking

# Format code
black src/

# Lint
ruff check src/

# Type check
mypy src/

Contributing

Contributions are welcome! This is an alpha project, so there's plenty of room for improvement:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Roadmap

• Complete test coverage
• Add more export formats (GeoTIFF, PNG with georeferencing)
• Implement variable creation and deletion
• Add plotting capabilities
• Improve performance for very large datasets
• Add plugins system
• Documentation and tutorials

Known Issues

• Large datasets (> 10GB) may cause memory issues
• Some NetCDF engines may not support all file types
• GPU detection on non-Linux systems is limited

License

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

Acknowledgments

• Built with PySide6
• Visualization powered by VisPy
• NetCDF handling via xarray

Contact

• Issues: GitHub Issues
• Repository: https://github.com/polymood/Pynoply

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Note: This is alpha software. Expect bugs, incomplete features, and breaking changes!