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Showing 3 open source projects for "data cleaning"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Icon
    DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets.

    Modern Data Catalog and Metadata Platform

    Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.
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    Cookie AutoDelete

    Cookie AutoDelete

    Firefox and Chrome WebExtension that deletes cookies

    Firefox and Chrome WebExtension that deletes cookies and other browsing site data as soon as the tab closes, domain changes, browser restarts, or a combination of those events. Control your cookies! This extension is inspired by Self-Destructing Cookies. When a tab closes, any cookies not being used are automatically deleted. Prevent tracking by other cookies and add only the ones you trust. Easily import and export your cookie whitelist.
    Downloads: 3 This Week
    Last Update:
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  • 2
    XMUltra is a Java and XML based feed-processing framework. It features utilities for many common tasks, such as: *FTPing files *Zipping files *Watching directories *XSL transformation *Cleaning out archives
    Downloads: 0 This Week
    Last Update:
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  • 3
    This is a PHP script that is used to parse the DMOZ RDF data dump files automatically. It features downloading of the files, extracting, cleaning, parsing and inserting the data into a MySQL database. This script is pretty fast!
    Downloads: 0 This Week
    Last Update:
    See Project
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