pyGCG 0.5.0

A GUI to aid in viewing and classifying NIRISS data products from GLASS-JWST.

pyGCG: GLASS-JWST Classification GUI

A Python GUI to aid in viewing and classifying NIRISS data products from GLASS-JWST.

Installation

In all cases, it is strongly recommended to install pyGCG into a new virtual environment, to minimise dependency conflicts (see Requirements).

Using pip (recommended)

pyGCG can be installed directly from the Python Package Index (PyPI), by running:

pip install --upgrade pygcg

Building from source

Alternatively, to clone the latest GitHub repository, use this command:

git clone https://github.com/PJ-Watson/pyGCG.git

To build and install pyGCG, run (from the root of the source tree):

pip install .

Usage

Launching the GUI

In the most basic configuration, pyGCG can be run in a Python session as follows:

from pygcg.GUI_main import run_app

run_app()

Alternatively, pyGCG can be launched from the terminal using a single line:

python -c "from pygcg.GUI_main import run_app; run_app()

Configuration file

TODO

Requirements

pyGCG has the following strict requirements:

• Python 3.10 or later
• NumPy 1.24 or later
• Matplotlib 3.6 or later
• Astropy 5.3 or later
• CustomTkinter 5.2 or later
• CTkMessageBox 2.5 or later
• Photutils 1.9 or later
• TOML Kit 0.12 or later
• tqdm 4.66 or later

pyGCG has been tested with Python 3.10, and is developed primarily on Python 3.11. Note that not all of the required packages may yet be compatible with Python 3.12.