Showing 2 open source projects for "header query"

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  • The AI workplace management platform Icon
    The AI workplace management platform

    Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
    Learn More
  • The AI-powered unified PSA-RMM platform for modern MSPs. Icon
    The AI-powered unified PSA-RMM platform for modern MSPs.

    Trusted PSA-RMM partner of MSPs worldwide

    SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
    Learn More
  • 1
    Whoogle Search

    Whoogle Search

    A self-hosted, ad-free, privacy-respecting metasearch engine

    Get Google search results, but without any ads, javascript, AMP links, cookies, or IP address tracking. Easily deployable in one click as a Docker app, and customizable with a single config file. Quick and simple to implement as a primary search engine replacement on both desktop and mobile. Autocomplete/search suggestions. POST request search and suggestion queries (when possible). View images at full res without site redirect (currently mobile only). Light/Dark/System theme modes (with...
    Downloads: 12 This Week
    Last Update:
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  • 2
    q - Text as Data

    q - Text as Data

    Run SQL directly on CSV or TSV files

    q is a command line tool that allows direct execution of SQL-like queries on CSVs/TSVs (and any other tabular text files). q treats ordinary files as database tables, and supports all SQL constructs, such as WHERE, GROUP BY, JOINs etc. It supports automatic column name and column type detection, and provides full support for multiple encodings. q fully supports all types of encoding. Use -e data-encoding to set the input data encoding, -Q query-encoding to set the query encoding, and use -E...
    Downloads: 4 This Week
    Last Update:
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