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Automatic GUI generation for easy dataset editing and display

Project description

guidata: Automatic GUI generation for easy dataset editing and display with Python

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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:

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:

  • pillow (image processing library)
  • pandas (data analysis library)

For documentation generation:

Installation

From the source package

Using build:

python -m build

Project details


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