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3 个仓库

Awesome GitHub RepositoriesWeb-Based Management Interfaces

Interfaces that allow for the remote administration and monitoring of network services via a web browser.

Distinguishing note: Shortlist candidates focused on browser internals or decentralized browsers, not on the architectural pattern of a web-based management UI.

Explore 3 awesome GitHub repositories matching web development · Web-Based Management Interfaces. Refine with filters or upvote what's useful.

Awesome Web-Based Management Interfaces GitHub Repositories

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  • thomasnordquist/mqtt-explorerthomasnordquist 的头像

    thomasnordquist/MQTT-Explorer

    3,985在 GitHub 上查看↗

    MQTT-Explorer 是一个用于 MQTT 代理的视觉化工具和调试器。它提供了一个基于 Web 的界面,用于通过分层浏览器检查实时消息流量并分析主题结构。 该工具将传入的消息组织成嵌套树结构,以简化对数据流和代理活动的观察。它包括一个移动友好的仪表板,具有针对触摸设备上的代理状态监控进行优化的布局和交互模式。 该应用程序支持物联网设备的调试和 MQTT 网络的管理。它提供流量可视化、代理监控和有效载荷检查功能。 该软件可用作浏览器可访问的 Web 服务或桌面应用程序。

    Provides a web-accessible service for remote MQTT broker management and inspection.

    TypeScript
    在 GitHub 上查看↗3,985
  • pyload/pyloadpyload 的头像

    pyload/pyload

    3,795在 GitHub 上查看↗

    pyload is a Python-based download manager that automates file transfers from web hosters and cloud storage services. It functions as a modular task automator, utilizing a plugin-based architecture to handle site-specific connection protocols and decryption requirements. The system provides multiple ways to interact with the download queue, including a centralized web-based dashboard for remote management and a terminal interface for command-line control. It also acts as a REST API download controller, exposing system functions and status tracking to external applications through an OpenAPI-co

    Provides a centralized web-based dashboard for remote monitoring and configuration of active download queues.

    Pythoncyberlockerddldebrid
    在 GitHub 上查看↗3,795
  • pfnet/paintschainerpfnet 的头像

    pfnet/PaintsChainer

    3,765在 GitHub 上查看↗

    PaintsChainer is a neural network line art colorizer that automatically applies colors to black and white drawings. It utilizes a GPU-accelerated color model and a Chainer-based framework to map monochrome line art to multi-channel color images. The system supports style-driven image synthesis by learning distributions from reference images and integrates hint-based color guidance, allowing users to provide spatial constraints to direct the neural network output. The project includes a web-based interface running on a local server for uploading drawings and managing the colorization process.

    Provides a web-based management interface for uploading drawings and controlling the colorization process.

    Jupyter Notebook
    在 GitHub 上查看↗3,765
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