AgentQL vs. parsel vs. h5py vs. python-sql 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.

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.