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Showing 2 open source projects for "generative ai"

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  • PRTG Catches Network Issues Before They Cause Downtime Icon
    PRTG Catches Network Issues Before They Cause Downtime

    Threshold-based alerts flag problems early, so your team can act before users notice, not after.

    Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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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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  • 1
    Coframe

    Coframe

    Coframe brings your UX to life with AI-powered optimization

    Bring your UX to life with AI-powered optimization and personalization. Coframe brings the content of your app or website to life through AI-powered optimization, personalization, and overall self-improvement. It takes minutes to integrate, and the ROI is clear to measure. Your website or app gains self-enhancing abilities with Coframe, learning from real-world performance. It's A/B testing, but with a serious upgrade. Coframe uses the latest in AI to generate copy that is tailored to your...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Tesbo

    Tesbo

    Open source AI-powered test case management software.

    Tesbo is an open source AI-powered test case management software built for QA teams. Tesbo's Context Engine reads your actual project requirements from Jira and Linear, existing test cases, product documentation, and defect history before generating a single test case. Every draft cites exactly which requirement, document, and defect shaped it. Nothing enters your repository without a QA engineer approving it first. The engine learns from every approval, edit, and rejection, so generated...
    Downloads: 0 This Week
    Last Update:
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