GuideChimp vs. Matplotlib vs. PyQtGraph vs. React Toolbox Comparison Chart

GuideChimp can be seamlessly integrated with any web app and ready to drop into your application using React, Vue.js, Angular, ES Modules, or plain JavaScript and HTML. GuideChimp works well with tools you already use and can be easily customized through SCSS and clean CSS to look like an integral part of your product. GuideChimp is extendable using out-of-the-box and third-party plugins, which enhance functionality with usability, feedback, analytics, etc. tools. GuideChimp is well documented and the open-source library is easy to integrate and have a very short learning curve. GuideChimp is simple and robust enough to provide results with minimal effort! Set up it in just 3 minutes! Let GuideChimp look like an integral part of your software product by configuring its look & feel. Raise visitors attention by adding a beacon to any element on the web page.

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.