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    Decorative pattern
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    3. Qmonix

    Qmonix

    Qmonix is an event-based analytics server that can collect and visualize metrics such as time-tracking task durations sent from clients like Awesome Time Tracker via the Qmonix Lua SDK.

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    Qmonix

    Qmonix is an event-based analytics server designed to collect and visualize custom metrics, such as time-tracking task durations, from client applications.

    • Category: Time Tracking – APIs & Integrations
    • Tags: analytics, reporting, workflow

    Overview

    Qmonix provides a backend analytics server and client SDKs for sending event data from applications. It can be used to track usage patterns and performance metrics in desktop or other non-web applications.

    Features

    • Event-based analytics server

      • Receives custom events (e.g., feature usage, workflow steps, task durations).
      • Suitable for tracking desktop and other non-web applications.
    • Custom metric collection

      • Collects arbitrary metrics such as time-tracking task durations.
      • Can be integrated with time-tracking tools (e.g., Awesome Time Tracker) to log and analyze work sessions.
    • Visualization of metrics

      • Provides visualization of collected data to analyze user behavior, usage frequency, and workflow performance.
    • Client SDKs / Integrations

      • Lua SDK used by tools like Awesome Time Tracker to send tracking events to Qmonix.
      • C++ client library (POSIX-only in the referenced material) that uses libcurl for HTTP communication and can be ported to other platforms.

    Integrations

    • Integrates with Awesome Time Tracker (via the Qmonix Lua SDK) for sending time-tracking events.
    • C++ client library for integrating desktop or other native applications.

    Pricing

    No pricing information is provided in the available content.

    Опросы

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    Информация

    Веб-сайтstackoverflow.com
    ОпубликованоDec 26, 2025

    Категории

    1 Элемент
    Time Tracking Apis & Integrations

    Теги

    3 Элементы
    #analytics#reporting#workflow

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