Showing 5 open source projects for "virtual-auto-clicker"

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  • 1
    Sonic

    Sonic

    Fast, lightweight & schema-less search backend

    Sonic is a super fast and lightweight, schema-less search backend that can be used in place of super-heavy and full-featured search backends like Elasticsearch. It is able to normalize language search queries, auto-complete search queries and offer the most relevant results. Being an identifier index rather than a document index, when queried it provides IDs that can be used to refer to matched documents in an external database.
    Downloads: 0 This Week
    Last Update:
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  • 2
    fzf

    fzf

    A command-line fuzzy finder

    fzf is a general-purpose command-line fuzzy finder. It's an interactive Unix filter for command-line that can be used with any list; files, command history, processes, hostnames, bookmarks, git commits, etc. fzf will launch an interactive finder, read the list from STDIN, and write the selected item to STDOUT. Without STDIN pipe, fzf will use find command to fetch the list of files excluding hidden ones. (You can override the default command with FZF_DEFAULT_COMMAND). fzf by default starts...
    Downloads: 5 This Week
    Last Update:
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  • 3
    blink code search

    blink code search

    GUI of indexed grep in Windows and Linux. Source code indexing tool.

    GUI of indexed grep in Windows and Linux. A source code indexing tool, near instant code search tool and navigation. Good for small to medium size code base. It supports fuzzy matching, auto complete, and live grep for real time query. Manage different projects and switch for different projects Drag and drop of filenames to your favourite editor. Source code and demo video in: https://github.com/ychclone/blink
    Downloads: 5 This Week
    Last Update:
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  • 4
    ATSCAN SCANNER

    ATSCAN SCANNER

    Advanced dork Search & Mass Exploit Scanner

    Advanced Mass Search / Dork / Exploitation Scanner.
    Downloads: 0 This Week
    Last Update:
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  • 5
    A tool for autonomous and virtual topical data integration using the focused web-harvesting method.
    Downloads: 0 This Week
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