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Showing 3 open source projects for "configuration"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • No-Nonsense Code-to-Cloud Security for Devs | Aikido Icon
    No-Nonsense Code-to-Cloud Security for Devs | Aikido

    Connect your GitHub, GitLab, Bitbucket or Azure DevOps account to start scanning your repos for free.

    Aikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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    Ameba

    Ameba

    A static code analysis tool for Crystal

    ...Ameba allows you to dig deeper into an issue, by showing you details about the issue and the reasoning behind it being reported. Starting from 0.31.0 Crystal supports parallelism. It allows running linting in parallel too. The default configuration file is .ameba.yml. It allows configuring rule properties, disabling specific rules and excludes sources from the rules.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Hetzner k3s

    Hetzner k3s

    A CLI tool to install and manage Kubernetes clusters in Hetzner Cloud

    This is a CLI tool to quickly create and manage Kubernetes clusters in Hetzner Cloud using the lightweight Kubernetes distribution k3s from Rancher. Hetzner Cloud is an awesome cloud provider which offers a truly great service with the best performance/cost ratio in the market. With Hetzner's Cloud Controller Manager and CSI driver you can provision load balancers and persistent volumes very easily. k3s is my favorite Kubernetes distribution now because it uses much less memory and CPU,...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Mango

    Mango

    Mango is a self-hosted manga server and web reader

    ...Thanks to this, Mango uses very little CPU and RAM resources. The web pages served by Mango are mostly rendered on the backend to make the web interface more responsive. Mango has a long list of configuration options while offering sane default values to them. Mango has a built-in MangaDex downloader, but you can easily install official or third-party plugins to download from other sites.
    Downloads: 0 This Week
    Last Update:
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