Showing 6 open source projects for "data analysis free"

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    MongoDB Atlas runs apps anywhere

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  • 1
    SearXNG

    SearXNG

    Free internet metasearch engine which aggregates

    SearXNG is a free and open-source metasearch engine designed to aggregate results from multiple search engines while prioritizing user privacy and anonymity. Instead of maintaining its own index, it queries numerous external search providers and merges the results into a single interface, increasing coverage and diversity of information. One of its core principles is privacy, as it does not track users, store personal data, or create search profiles, making it a strong alternative to traditional search engines. . ...
    Downloads: 19 This Week
    Last Update:
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  • 2

    SE Auditor

    Free SEO audit software.

    ...Unlike other programs of this type SE Auditor is: - free - fast, do not waste your time (the audit process goes smooth as butter) - simple to understand interface (you can see at a glance) - shows the data important in optimizing your site - based on the collected data allows to generate a PDF report with hints - is accurate (for example in counting words, characters, calculating text/html ratio..)
    Downloads: 0 This Week
    Last Update:
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  • 3
    Framework (scripts, configuration, code) to build free and public services around travel and leisure data. That project makes an extensive use of already existing data sources such as Geonames and dbPedia, and adds some glue around those (eg, links).
    Downloads: 0 This Week
    Last Update:
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  • 4
    A tool for autonomous and virtual topical data integration using the focused web-harvesting method.
    Downloads: 0 This Week
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 5
    A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.
    Downloads: 0 This Week
    Last Update:
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  • 6
    This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
    Downloads: 0 This Week
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