guidata: Automatic GUI generation for easy dataset editing and display with Python
ℹ️ Created in 2009 by Pierre Raybaut and maintained by the PlotPyStack organization.
Overview
The guidata
package is a Python library generating Qt graphical user interfaces.
It is part of the PlotPyStack project, aiming at
providing a unified framework for creating scientific GUIs with Python and Qt.
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:
Features
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 regrouped in datasets:
- Integers, floats, strings
- Lists (single/multiple choices)
- Dictionaries
ndarrays
(NumPy's N-dimensional arrays)- Etc.
Save and load datasets to/from HDF5, JSON or INI files.
Application development tools:
- Data model (internal data structure, serialization, etc.)
- Configuration management
- Internationalization (
gettext
) - Deployment tools
- HDF5, JSON and INI I/O helpers
- Qt helpers
- Ready-to-use Qt widgets: Python console, source code editor, array editor, etc.
Dependencies and installation
Supported Qt versions and bindings
The whole PlotPyStack set of libraries relies on the Qt GUI toolkit, thanks to QtPy, an abstraction layer which allows to use the same API to interact with different Python-to-Qt bindings (PyQt5, PyQt6, PySide2, PySide6).
Compatibility table:
guidata version | PyQt5 | PyQt6 | PySide2 | PySide6 |
---|
3.0-3.5 | ✅ | ⚠️ | ❌ | ⚠️ |
Latest | ✅ | ✅ | ❌ | ✅ |
Other dependencies and installation
See Installation
section in the documentation for more details.