NumPy vs. PyQtGraph vs. ggplot2 vs. openElement Comparison Chart

PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.

openElement is a free website building application with a WYSIWYG interface ("What You See Is What You Get"). The software automatically generates the necessary code for a website to display and function correctly, without the creative constraints imposed by other tools. The benefit to users is a simpler approach for beginners and a faster approach to repetitive tasks for professionals. The concepts of "elements" and "packs" allow users to insert, modify, and customize commonly used web objects by simply dragging & dropping them onto pages - without writing any code. That said, users are not confined by the built-in elements: you can create, reuse, and share your own custom elements. openElement is a hybrid between a CMS and a standalone app. It really stands apart from other applications of its type. It works through an internal intermediary format that facilitates content updates, and maintains the structure and consistency of the resulting code.