Showing 3 open source projects for "data extraction"

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    Scrapy

    Scrapy

    A fast, high-level web crawling and web scraping framework

    Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring...
    Downloads: 18 This Week
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  • 2
    Passmark

    Passmark

    The open-source Playwright library for AI browser regression testing

    The Passmark project is an open-source AI-powered regression testing framework built on top of Playwright that enables developers to write end-to-end browser tests using natural language instead of traditional scripting. It is designed to simplify and accelerate testing workflows by allowing AI models to interpret human-readable instructions and translate them into executable browser actions. One of its defining features is a cache-first execution model, where AI is used initially to...
    Downloads: 5 This Week
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  • 3

    Specstractor

    Tool chain for the automated extraction/analysis of system invariants

    Specstractor is an automated tool chain for the extraction and analysis of system specifications in the form of system invariants. These automatically generated invariants yield useful insight into the actual system behavior and can reveal flaws and missing elements in the developer-maintained specifications. Specstractor consists of two main components, the Extractor, which automatically extracts invariants from automatically generated test cases of a system using data mining, and Insight, a web based tool that gives the user high level views and visualizations of the resulting invariants. ...
    Downloads: 0 This Week
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