NumPy vs. PyQtGraph vs. Python vs. jsoup 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.

jsoup is a Java library that simplifies working with real-world HTML and XML. It offers an easy-to-use API for URL fetching, data parsing, extraction, and manipulation using DOM API methods, CSS, and XPath selectors. jsoup implements the WHATWG HTML5 specification and parses HTML to the same DOM as modern browsers. With jsoup, you can scrape and parse HTML from a URL, file, or string; find and extract data using DOM traversal or CSS selectors; manipulate HTML elements, attributes, and text; clean user-submitted content against a safelist to prevent XSS attacks; and output tidy HTML. jsoup is designed to deal with all varieties of HTML found in the wild, from pristine and validating to invalid tag-soup, creating a sensible parse tree. For example, you can fetch the Wikipedia homepage, parse it to a DOM, and select the headlines from the "In the news" section into a list of elements.