NumPy vs. PyQtGraph vs. Python vs. WebDataRocks 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.

WebDataRocks is a simple free JS library for creating functional and easy-to-use pivot tables. It can be used with Angular, Vue, React or any other framework. Free Flexible in customization JavaScript based client-side component Loads 1MB of JSON or CSV data files Full set of enterprise features Integration with 3rd party charting libraries Full set of enterprise features Features like filtering, sorting, grouping, conditional and number formatting, calculated values, totals are available for efficient work with your data. It supports printing or exporting web report to PDF, Excel or HTML with just one click. Ready-to-use modern UI The tool offers a classy spreadsheet-like interface optimized both for browsers and apps. All principles of reliability and excellent user experience are already implemented in this web reporting tool.