NumPy vs. PyQtGraph vs. Python vs. jEdit 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.

jEdit is a mature programmer's text editor with hundreds (counting the time developing plugins) of person-years of development behind it. While jEdit beats many expensive development tools for features and ease of use, it is released as free software with full source code, provided under the terms of the GPL 2.0. Built-in macro language; extensible plugin architecture. Hundreds of macros and plugins available. Plugins can be downloaded and installed from within jEdit using the "plugin manager" feature. Supports a large number of character encodings including UTF8 and Unicode. Highly configurable and customizable. Every other feature, both basic and advanced, you would expect to find in a text editor.