Showing 4 open source projects for "web mining"

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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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    Build Agents and Models on One Platform

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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: 22 This Week
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  • 2
    V2RayCloudSpider

    V2RayCloudSpider

    V2RayCloudSpider

    V2RSS is an "ecological mining machine" that can perform vertical mining on global providers based on the SSPanel-Uim framework; it can generate bottom-up "aggregation collection" tasks for mainstream protocol headers; it can self-digest and Compared with proxypool , the output is purer and more reliable proxy nodes; it has powerful production features such as self-discovery and service self-healing.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
    Downloads: 0 This Week
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  • 4
    EfficiencyGuardian extracts callgrind efficiency measures from individual CppUnit test cases to detect efficiency regresion. It includes a data mining web tool to browse historic results and TestFarm integration for unattended execution on commit.
    Downloads: 0 This Week
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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