AgentQL vs. parsel vs. PyQtGraph vs. WebScraper.io Comparison Chart

Forget fragile XPath or DOM selectors. AI-powered AgentQL finds elements reliably, even as websites change. Use natural language to find exact elements. Locates web elements by their meaning. Use natural language description instead of fragile XPath and DOM selectors. Get the results in exactly the shape you need. Built to be deterministic in the best way possible. Get started by installing our Chrome extension, your gateway to a seamless web scraping experience. Extract data from websites with ease. Secure your access with a unique API key, your gateway to utilizing the powerful features of AgentQL, ensuring a secure experience across your apps. Dive into the capabilities of AgentQL by writing your first query, a simple way to specify what data or web elements you want to extract from a website. Explore the power of AgentQL SDK to start automating. Quickly gather essential data, boosting analytics and insights.

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.