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9 dépôts

Awesome GitHub RepositoriesTask Completion Callbacks

Functions that execute automatically when a background task finishes successfully or fails.

Distinct from Post-Run Completion Callbacks: Distinct from Post-Run Completion Callbacks: focuses on individual task orchestration rather than a test suite's final summary.

Explore 9 awesome GitHub repositories matching development tools & productivity · Task Completion Callbacks. Refine with filters or upvote what's useful.

Awesome Task Completion Callbacks GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • chalarangelo/30-seconds-of-interviewsAvatar de Chalarangelo

    Chalarangelo/30-seconds-of-interviews

    12,143Voir sur GitHub↗

    This project is a technical interview study guide and a markdown-driven static site designed to help developers prepare for coding screenings. It serves as a curated collection of common technical questions and expert answers, functioning as a comprehensive educational resource. The platform provides a structured curriculum and reference materials across several key domains. This includes a JavaScript language reference covering programming fundamentals, a frontend engineering curriculum focused on UI patterns and responsive design, and a web security knowledge base detailing attack vectors a

    Covers the use of callback functions to trigger execution after specific asynchronous tasks complete.

    JavaScriptawesome-listcsseducation
    Voir sur GitHub↗12,143
  • buuing/lucky-canvasAvatar de buuing

    buuing/lucky-canvas

    8,728Voir sur GitHub↗

    Lucky Canvas is a canvas-based lottery component library that enables developers to build interactive prize wheels, grid-based lottery games, and slot machines for web and mobile applications. The project provides a rendering engine that draws directly on HTML Canvas elements, with automatic device pixel ratio scaling to ensure crisp displays on high-DPI mobile screens. The library packages each lottery type as a self-contained plugin with its own configuration and rendering logic, and wraps the core canvas functionality in framework-specific bindings for Vue, React, Taro, and UniApp without

    Fires callbacks when the wheel stops spinning and passes the winning prize data for further processing.

    TypeScriptcanvasjavascriptlucky-draw
    Voir sur GitHub↗8,728
  • gothenburgbitfactory/taskwarriorAvatar de GothenburgBitFactory

    GothenburgBitFactory/taskwarrior

    5,906Voir sur GitHub↗

    Taskwarrior is a command-line task manager that lets you create, modify, filter, and complete to-do items directly from the terminal. It stores all tasks in a single plain-text file for portability and manual editing, and includes a custom expression language for selecting tasks by status, priority, tags, and date ranges. The tool distinguishes itself through several integrated capabilities. It computes a numeric urgency score for each task based on weighted factors like age, tags, and due date to determine ordering. A recurrence template engine generates new task instances from a template af

    Allows users to mark tasks as complete, recording the completion date for tracking progress.

    C++gtdtask-managertaskwarrior
    Voir sur GitHub↗5,906
  • chriskohlhoff/asioAvatar de chriskohlhoff

    chriskohlhoff/asio

    5,896Voir sur GitHub↗

    Asio is a C++ library for performing network and low-level I/O operations using a consistent asynchronous model that avoids blocking program execution. It provides a portable, cross-platform interface for network socket communication across different operating systems, and manages multiple asynchronous operations without requiring explicit thread management or locking. The library implements a proactor-based asynchronous model where operations post completion handlers to a queue for later execution, and wraps operating system I/O multiplexing mechanisms like epoll, kqueue, IOCP, and select in

    Supports multiple completion token types including callbacks, futures, and coroutines through a uniform handler interface.

    C++
    Voir sur GitHub↗5,896
  • bogdanp/dramatiqAvatar de Bogdanp

    Bogdanp/dramatiq

    5,136Voir sur GitHub↗

    Dramatiq is a distributed task queue and workload manager used to offload function execution to background workers. It functions as an asynchronous task orchestrator that enables the distribution of computational tasks across a cluster using a pluggable transport layer supporting RabbitMQ and Redis. The framework provides specialized tools for complex task orchestration, including the ability to link background jobs into sequences, pipelines, and barriers. It further manages distributed concurrency through the use of shared mutexes, rate limiters, and exponential backoff retries to prevent re

    Executes specific actors automatically when another task succeeds or fails to handle post-processing.

    Pythondistributed-lockpythonrabbit
    Voir sur GitHub↗5,136
  • ysymyth/reactAvatar de ysymyth

    ysymyth/ReAct

    4,011Voir sur GitHub↗

    ReAct is an agentic workflow template and prompting framework for large language models. It implements a logic pattern that integrates chain-of-thought reasoning with external tool execution to solve complex, multi-step tasks. The framework uses an interleaved reasoning and acting logic, forcing the model to document its internal thought process before executing an action. This cycle of planning and acting allows the system to interact with external APIs or databases and inject real-world data back into the model context to refine reasoning paths. The project covers autonomous task execution

    Uses structured natural language templates to orchestrate a repeating cycle of thinking, acting, and observing.

    Jupyter Notebook
    Voir sur GitHub↗4,011
  • answerdotai/gpu.cppAvatar de AnswerDotAI

    AnswerDotAI/gpu.cpp

    3,981Voir sur GitHub↗

    gpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through

    Triggers specific actions via callbacks once an asynchronous GPU task completes its execution.

    C++
    Voir sur GitHub↗3,981
  • midrender/revideoAvatar de midrender

    midrender/revideo

    3,869Voir sur GitHub↗

    Revideo is a TypeScript programmatic video framework and server-side rendering engine. It functions as a dynamic video template engine that uses a headless browser to capture frames from code-defined compositions, producing high-quality media files at scale. The system enables the generation of personalized video assets by injecting external data into type-safe layouts and animations. It provides a web-based preview tool for designing and reviewing compositions before they are sent to the rendering pipeline. The framework covers automated media production through asynchronous task queueing a

    Implements automated POST requests to notify external services when a long-running video render job completes.

    TypeScript
    Voir sur GitHub↗3,869
  • langroid/langroidAvatar de langroid

    langroid/langroid

    3,894Voir sur GitHub↗

    Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist

    Executes a managed loop that continues processing agent turns until predefined completion signals are met.

    Pythonagentsaichatgpt
    Voir sur GitHub↗3,894
  1. Home
  2. Development Tools & Productivity
  3. Code Completion Tools
  4. Testing Environment Completion
  5. Task Completion Callbacks

Explorer les sous-tags

  • Completion Token AbstractionsUniform handler interface supporting multiple completion token types including callbacks, futures, and coroutines. **Distinct from Task Completion Callbacks:** Distinct from Task Completion Callbacks: focuses on abstracting multiple completion token types through a uniform interface, not just callbacks for background tasks.
  • Draw Completion CallbacksCallbacks that fire when a lottery draw completes, passing the winning prize data for further processing. **Distinct from Task Completion Callbacks:** Distinct from Task Completion Callbacks: specifically for lottery draw completion events with prize data, not general background task orchestration.
  • Render Completion CallbacksCallbacks that trigger external notifications via HTTP requests when a video rendering job finishes. **Distinct from Task Completion Callbacks:** Specifically targets the completion of media rendering jobs rather than general background task orchestration.
  • Task Completion Sequences2 sous-tagsDefining specific patterns of tool calls or responses that signal a task is finished. **Distinct from Task Completion Callbacks:** Focuses on the sequence of content that triggers completion, not a functional callback executed after completion.
  • Task Completion TriggersMechanisms for defining completion conditions and cleanup triggers for background processes. **Distinct from Task Completion Callbacks:** Distinct from task completion callbacks: focuses on the logic for determining completion (wait intervals, triggers) rather than the callback execution itself.