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An analysis tool and companion for CrystalGrower

Project description

CGAspects

CGAspects is a CrystalGrower data analysis tool equipped with a PySide6 GUI.

Features

  • Data Analysis and Visualization: It is designed for the analysis and visualization of crystal growth data, including aspect ratios (Zingg analysis), surface area to volume ratios, growth rates and more.
  • PySide6 GUI: A user-friendly graphical user interface for interaction with the application.

Installation

Ensure you have Python >=3.10 installed on your system.

Via PyPI (recommended)

pip install cgaspects

From source

  1. Clone the CGAspects repository (shallow clone with depth 1):

    git clone --depth=1 https://github.com/CrystalGrowerOrg/cgaspects.git
    cd cgaspects
    
  2. Install CGAspects via pip:

    pip install .
    

Usage

After installation, you can run CGAspects using the command:

cgaspects

Building and Packaging for macOS

CGAspects can be packaged as a standalone application for macOS using PyInstaller.

To build and package the application:

  1. Install pyinstaller in your python environment:

    pip install pyinstaller
    
  2. Navigate to the project directory and run the provided script:

    ./scripts/mac_os_bundle.sh
    
  3. After the build completes, the script will run an ad hoc code signing to sign the application. This will create a .app package in the dist directory, which can be distributed and run on macOS systems.

Dependencies

matplotlib>=3.10.8
natsort>=8.4.0
numpy>=2.4.0
pandas>=2.3.3
PyOpenGL>=3.1.10
PySide6>=6.10.1
scikit-learn>=1.5.0
scipy>=1.16.3
seaborn>=0.13.2
trimesh>=4.8.3

Development Status

CGAspects is currently in Beta stage.

Authors

Contributions

Contributions are welcome! Please read the contribution guidelines before submitting a pull request.

Links

Contact

For support or inquiries, please email the authors or create an issue in the project's issue tracker.

Project details


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