Search Results for "lightweight scripting language"

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4 projects for "lightweight scripting language" with 2 filters applied:

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  • MongoDB Atlas runs apps anywhere Icon
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  • 1
    ( pro ping )pinger network alert monitor

    ( pro ping )pinger network alert monitor

    Pinger alert, STATICTICAL TABLES, send EMAILs or SMS by SMS GATEWAY

    ...In addition, an audible alarm warns you via Telnet or SSH terminal, a log files recorded can be used to convey specific information to the system administrator. It is comes with a configurable for warning by email. lightweight code, coming with the source files, written in C, Email warning sender, ANDROID ping, SPARC, AMD64, traceroute, DETECT SOURCE Downs, Warning by Email, C language
    1 Review
    Downloads: 0 This Week
    Last Update:
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  • 2
    Tarantoga

    Tarantoga

    Lightweight Event Management System (for Monitoring-Events and more)

    Tarantoga is an open source lightweight event management system for events from monitoring and more, with similar functionality to IBM Tivoli TEC, Master Cell, or BMC BEM. It supports your ITIL/ITSM event management process. It relies on MongoDB to store the events and Perl as rule programming language. GUI and backend are seperate tools that communicate only via the MongoDB.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Telnet Scripting Language (TSL) allows for the full automation of Telnet, SMTP, and other TCP protocols using a simple interpreted language. Daemon allows TSL to operate completely in the background, useful for admin tasks.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Maintenance is a software package, which allows one to simplify administration tasks on UNIX-like systems. Using Maintenance MAKE-based scripting language, users can maintain his/her files in order; automate and schedule administration tasks; and more.
    Downloads: 0 This Week
    Last Update:
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  • Stop vibe-debugging. Icon
    Stop vibe-debugging.

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    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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