Showing 3 open source projects for "app code deployment"

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  • 1
    MooseStack

    MooseStack

    The developer framework for building analytical backends

    MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around linting, testing, and packaging are prewired so developers can focus on features rather than wiring. ...
    Downloads: 3 This Week
    Last Update:
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  • 2
    cc-switch

    cc-switch

    A cross-platform desktop All-in-One assistant tool for Claude Code

    cc-switch is a cross-platform desktop assistant designed to unify and streamline the management of multiple AI coding tools such as Claude Code, Codex, OpenCode, and Gemini CLI within a single interface. The application focuses on improving developer productivity by providing centralized configuration, provider switching, and workflow orchestration across different AI backends. Built as a modern desktop app using Tauri and web technologies, it enables users to manage credentials, sessions, and tool settings without manually editing configuration files. ...
    Downloads: 13 This Week
    Last Update:
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  • 3
    LiteBox

    LiteBox

    A security-focused library OS supporting kernel execution

    LiteBox is a security-focused “library OS” sandboxing project that aims to shrink the interface between an application and its host environment to reduce attack surface. Instead of relying solely on broad OS-level permissions, it focuses on isolating workloads by tightly controlling the boundary where code interacts with host services and system resources. The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or runtimes plug in) and “South” platforms (where the sandbox runs), which helps the system adapt to multiple deployment contexts. A key aspect of the project is that it targets both kernel-mode and user-mode scenarios, enabling experimentation with different trust and performance tradeoffs. ...
    Downloads: 10 This Week
    Last Update:
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