Welcome to PlotPyStack, a comprehensive toolkit designed to aid in the development of scientific GUI-based software using Python. This organization houses powerful packages, each providing unique functionalities aimed at simplifying data visualization, plotting, and GUI development for scientific applications.

🚀 PlotPyStack is the result of 15 years of expertise in the development of scientific software using Python-Qt.

The table below summarizes the packages included in the PlotPyStack organization:

Package Logo	Package Name	Creation date	Short Description
	PythonQwt	2014	Low-level Qt plotting widgets for Python.
	guidata	2009	A Python library for easy dataset manipulation and display.
	guiqwt	2009	An efficient 2D data-plotting library based on PythonQwt (guiqwt will soon be replaced by plotpy).
	plotpy	2016	A high-level interface for creating a variety of plot types.

PythonQwt, guidata, guiqwt and plotpy were created by Pierre Raybaut and are now maintained by the PlotPyStack organization.

For more details about each package, please refer to their respective repositories.

PlotPyStack is a Python-Qt visualization and scientific GUI stack based on PythonQwt, guidata and plotpy.

PlotPyStack is composed of the following packages:

• PythonQwt: Python implementation of the Qwt C++ library. The PythonQwt project was initiated to solve -at least temporarily- the obsolescence issue of PyQwt (the Python-Qwt C++ bindings library) which is no longer maintained. The idea was to translate the original Qwt C++ code to Python and then to optimize some parts of the code by writing new modules based on NumPy and other libraries.

• guidata: Automatic graphical user interfaces generation for easy dataset editing and display. It also provides helpers and application development tools for Python-Qt.

• guiqwt: Efficient 2D data-plotting features (curve/image visualization and related tools) for interactive computing and signal/image processing application development using PythonQwt. Note: guiqwt will soon be replaced by plotpy.

• plotpy: Based on PythonQwt and on the scientific modules NumPy and SciPy, plotpy is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactive computing and signal/image processing application development.

The following projects are powered by PlotPyStack:

• DataLab: Open-source software for scientific data analysis and visualization

• ModuleTester: Library providing a GUI to manage and run tests on a Python module

• PyPlanning: Small planning tool to manage team schedules and to quickly create simple project plannings

• ...and many other projects which are not open-source, unfortunately.