Automatic GUI generation for easy dataset editing and display
Project description
guidata: Automatic GUI generation for easy dataset editing and display with Python
Simple example of guidata datasets embedded in an application window:
See documentation for more details on the library and changelog for recent history of changes.
Copyrights and licensing:
- Copyright © 2023 CEA, Codra, Pierre Raybaut.
- Licensed under the terms of the BSD 3-Clause (see LICENSE).
Overview
Based on the Qt library, guidata is a Python library generating graphical user
interfaces for easy dataset editing and display. It also provides helpers and
application development tools for Qt (PyQt5, PySide2, PyQt6, PySide6).
Generate GUIs to edit and display all kind of objects:
- integers, floats, strings ;
- ndarrays (NumPy's n-dimensional arrays) ;
- etc.
Application development tools:
- configuration management
- internationalization (
gettext) - deployment tools
- HDF5 I/O helpers
- misc. utils
Dependencies
Requirements
- Python 3.8+
- PyQt5 (Python Qt bindings)
- QtPy (abstraction layer for Python-Qt binding libraries)
- h5py (interface to the HDF5 data format)
- NumPy (operations on multidimensional arrays)
- requests (HTTP library)
- tomli (TOML parser)
Optional dependencies
For some editing widgets:
For documentation generation:
- sphinx (Python documentation generator)
- sphinx-copybutton (add a copy button to each of your code cells)
- sphinx_qt_documentation (plugin for proper resolve intersphinx references for Qt elements)
- python-docs-theme (Python documentation theme)
Installation
From the source package
Using build:
python -m build
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