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
-
Clone the CGAspects repository (shallow clone with depth 1):
git clone --depth=1 https://github.com/CrystalGrowerOrg/cgaspects.git cd cgaspects
-
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:
-
Install pyinstaller in your python environment:
pip install pyinstaller
-
Navigate to the project directory and run the provided script:
./scripts/mac_os_bundle.sh
-
After the build completes, the script will run an ad hoc code signing to sign the application. This will create a
.apppackage in thedistdirectory, 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
- Alvin J. Walisinghe - jennerwalisinghe@gmail.com
- Peter R. Spackman - peterspackman@fastmail.com
- Nathan de Bruyn
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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