awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

140 repositorios

Awesome GitHub RepositoriesTask Scheduling

Systems for calculating execution order based on task dependencies and relationships.

Distinguishing note: Focuses on graph-based scheduling rather than general task management.

Explore 140 awesome GitHub repositories matching software engineering & architecture · Task Scheduling. Refine with filters or upvote what's useful.

Awesome Task Scheduling GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • fuellabs/fuel-coreAvatar de FuelLabs

    FuelLabs/fuel-core

    57,014Ver en GitHub↗

    Fuel Core is a Rust-based implementation of a distributed ledger and a full node for the Fuel v2 protocol. It functions as a layer 2 blockchain client designed to execute binary encoded transactions and synchronize shared state across a decentralized network. The system utilizes a deterministic state machine to ensure all nodes reach the same ledger state and employs a binary-encoded message protocol for network communication. It provides the ability to operate full network nodes or bootstrap private local instances for development and testing. The project covers a broad set of capabilities

    Implements a non-blocking task scheduler to handle concurrent blockchain transactions and network requests.

    Rustblockchainfuel
    Ver en GitHub↗57,014
  • reactivex/rxjavaAvatar de ReactiveX

    ReactiveX/RxJava

    48,237Ver en GitHub↗

    RxJava is a reactive stream processing framework and JVM reactive extensions library. It serves as an asynchronous dataflow orchestrator used to compose event-based programs by transforming, combining, and consuming real-time data flows on the Java Virtual Machine. The project distinguishes itself through integrated backpressure flow control, which manages the emission rate between producers and consumers to prevent memory exhaustion. It further provides mechanisms for concurrent thread management and parallel data processing to offload blocking operations and maintain application responsiven

    Offers scheduler-based thread executors to route tasks to specific concurrency managers and decouple processing logic from execution threads.

    Javaflowjavareactive-streams
    Ver en GitHub↗48,237
  • airbnb/airflowAvatar de airbnb

    airbnb/airflow

    45,937Ver en GitHub↗

    Airflow is a workflow orchestration platform for authoring, scheduling, and monitoring complex data pipelines as code using Python. It employs a DAG-based task scheduler to manage execution timing and dependencies via directed acyclic graphs, utilizing a distributed task execution engine to run workloads across a cluster of worker nodes. The platform provides a data pipeline monitor for tracking the health and execution history of programmatic workflows. This includes a web interface for workflow progress visualization and health monitoring to identify and troubleshoot pipeline failures. The

    Implements a scheduler that calculates task execution order based on Directed Acyclic Graph dependencies.

    Python
    Ver en GitHub↗45,937
  • lerna/lernaAvatar de lerna

    lerna/lerna

    36,066Ver en GitHub↗

    Lerna is a monorepo management tool, build orchestrator, and package publisher for JavaScript and TypeScript projects. It enables the management of multiple packages within a single shared repository, providing utilities for workspace organization and the coordinated publishing of packages to a registry. The tool distinguishes itself through dependency-aware task orchestration and automated version management. It uses topological sorting to sequence tasks and utilizes content-hash caching to skip redundant executions when input files remain unchanged. Versioning is automated by parsing standa

    Runs independent scripts across multiple packages simultaneously while respecting dependency constraints.

    TypeScriptlernamonoreponpm
    Ver en GitHub↗36,066
  • nrwl/nxAvatar de nrwl

    nrwl/nx

    28,939Ver en GitHub↗

    This project is a build orchestration engine and development toolkit designed for managing large-scale monorepos. It provides a unified workspace environment that maps project relationships and dependencies, enabling the system to perform intelligent impact analysis and execute only the tasks affected by specific code changes. The system distinguishes itself through a persistent daemon that monitors file changes for near-instant feedback and a content-addressable caching mechanism that stores task outputs to prevent redundant computation across local and remote environments. It further suppor

    Executes multiple tasks across projects in parallel while respecting dependency constraints to maximize build performance.

    TypeScriptangularbuildbuild-system
    Ver en GitHub↗28,939
  • caolan/asyncAvatar de caolan

    caolan/async

    28,150Ver en GitHub↗

    Async is a JavaScript asynchronous flow library designed to manage the execution and coordination of asynchronous tasks in Node.js and the browser. It provides functional utilities to wrap, process, and orchestrate complex asynchronous workflows. The library distinguishes itself through a comprehensive task orchestrator that handles dependency graphs to resolve circular references and manages concurrent task queues. It includes a unification bridge that allows callback-style and promise-based functions to operate within the same execution interface. The project covers several primary capabil

    Calculates execution order and manages timing for timeouts, retries, and deferred tasks.

    JavaScript
    Ver en GitHub↗28,150
  • eyaltoledano/claude-task-masterAvatar de eyaltoledano

    eyaltoledano/claude-task-master

    27,567Ver en GitHub↗

    This project is an autonomous, multi-model orchestrator designed to manage the full software development lifecycle through a command-line interface. It functions as an intelligent agent that decomposes high-level product goals into actionable, prioritized subtasks, manages dependency graphs, and executes development cycles. By automating requirement parsing, technical research, and task tracking, it maintains project alignment and momentum throughout the implementation process. The system distinguishes itself through a provider-agnostic abstraction layer that allows users to assign specific a

    Calculates execution order by analyzing task relationships and status updates to ensure logical progression.

    JavaScriptaicursorcursor-ai
    Ver en GitHub↗27,567
  • apache/incubator-mxnetAvatar de apache

    apache/incubator-mxnet

    20,812Ver en GitHub↗

    Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying neural networks across distributed systems, mobile devices, and hardware accelerators. It functions as a cross-platform runtime and a dynamic dataflow scheduler that optimizes neural network execution. The framework provides a multi-language API, enabling the development of machine learning models using Python, R, Julia, Scala, Go, and JavaScript. It supports high-performance model training and the scaling of workloads across multiple GPUs and machines. The system covers cap

    Utilizes a mutation-aware dependency scheduler to calculate the optimal execution order of tasks in a dataflow graph.

    C++
    Ver en GitHub↗20,812
  • apache/mxnetAvatar de apache

    apache/mxnet

    20,829Ver en GitHub↗

    This project is a deep learning framework designed for constructing, training, and deploying neural networks across diverse hardware environments. It functions as a high-performance tensor computation library that provides both imperative and symbolic programming interfaces, allowing developers to balance flexible, step-by-step model building with the efficiency of compiled computation graphs. The framework distinguishes itself through a hybrid execution engine that integrates declarative graph compilation with imperative runtime logic. It supports scalable, distributed training across multip

    Tracks operation dependencies to execute non-conflicting tasks in parallel across hardware devices.

    C++mxnet
    Ver en GitHub↗20,829
  • reactivex/rxandroidAvatar de ReactiveX

    ReactiveX/RxAndroid

    19,964Ver en GitHub↗

    RxAndroid is a reactive programming library and binding layer that integrates RxJava with the Android runtime environment. It provides a framework for composing asynchronous data streams and managing event-driven workflows specifically tailored for Android's threading requirements. The library functions as an Android thread scheduler, routing reactive operations to the main UI thread or specific Android loopers. This ensures that asynchronous task outcomes are dispatched to the primary interface thread for safe updates of visual components while preventing background processing from blocking

    Provides a set of schedulers that route reactive operations to the main UI thread or specific loopers.

    Java
    Ver en GitHub↗19,964
  • rpcs3/rpcs3Avatar de RPCS3

    RPCS3/rpcs3

    18,209Ver en GitHub↗

    RPCS3 is a C++ application that functions as a software environment for executing and managing PlayStation 3 console titles on desktop operating systems. It operates by translating proprietary console hardware instructions and graphics commands into formats compatible with modern computer hardware, allowing for the execution of original game software. The emulator distinguishes itself through a comprehensive suite of tools for managing game libraries, applying software patches to modify performance characteristics, and tracking the compatibility status of individual titles. It includes integr

    Coordinates the execution of multiple console processor cores by mapping them to host threads to maintain accurate timing and synchronization.

    C++assembly-languageccpp
    Ver en GitHub↗18,209
  • phil-opp/blog_osAvatar de phil-opp

    phil-opp/blog_os

    17,518Ver en GitHub↗

    This project is a freestanding kernel written in Rust that boots on x86 hardware without a standard library. It serves as a low-level system implementation focusing on the creation of a bare metal operating system. The system implements a bootable disk image toolchain that transforms source code into binaries compatible with a bootloader. It features a custom memory allocator for dynamic memory management and an x86 kernel implementation that includes paging, interrupt handling, and VGA text mode. The project covers several core capability areas, including low-level memory management through

    Implements a cooperative multitasking scheduler using asynchronous patterns to share CPU resources.

    HTMLkerneloperating-systemrust
    Ver en GitHub↗17,518
  • alibaba/dataxAvatar de alibaba

    alibaba/DataX

    17,241Ver en GitHub↗

    DataX is a distributed data integration framework and plugin-based ETL tool designed for synchronizing large datasets between heterogeneous sources and destinations. It functions as a JDBC data migration engine and offline synchronization tool, enabling the movement of data between relational databases, NoSQL stores, and object storage. The system utilizes a plugin-based connector architecture that decouples reader and writer logic, allowing it to map and transform data types across different storage engines using a standardized internal representation. This design supports heterogeneous data

    Splits large datasets into concurrent tasks based on primary keys to increase synchronization speed.

    Java
    Ver en GitHub↗17,241
  • infrasys-ai/aisystemAvatar de Infrasys-AI

    Infrasys-AI/AISystem

    17,017Ver en GitHub↗

    AISystem is a comprehensive AI full-stack infrastructure project covering the entire pipeline from AI chip architecture to high-level training frameworks. It encompasses the development of AI compiler frameworks, inference engines, and distributed training orchestrators designed to coordinate workloads across a heterogeneous compute stack of CPUs, GPUs, and NPUs. The project focuses on the deep integration of software and hardware, employing software-hardware co-design to align tensor layouts with physical memory structures. It provides specialized capabilities for accelerating Transformer mo

    Manages data transfer and program flow between the CPU and GPU to offload parallel workloads.

    Jupyter Notebookaiaiinfraaisys
    Ver en GitHub↗17,017
  • nostra13/android-universal-image-loaderAvatar de nostra13

    nostra13/Android-Universal-Image-Loader

    16,852Ver en GitHub↗

    Android-Universal-Image-Loader is an image loading library for Android applications designed to download, cache, and display images. It functions as a bitmap cache manager and processing framework that handles the retrieval of assets from remote URLs or local files. The library includes specialized utilities for extracting static frames from video files to generate thumbnails. It also provides a framework for applying visual transformations to loaded images, such as circular crops and rounded corners. The system manages performance through a two-tier caching hierarchy using both memory and d

    Prevents UI blocking by executing image loading tasks using configurable synchronous or asynchronous thread executors.

    Java
    Ver en GitHub↗16,852
  • zhisheng17/flink-learningAvatar de zhisheng17

    zhisheng17/flink-learning

    15,071Ver en GitHub↗

    This project is a collection of educational resources and reference implementations for the Apache Flink stream processing framework. It provides a learning resource focused on mastering distributed stream processing through implementation guides, performance tuning tutorials, and practical examples. The repository features detailed walkthroughs for building real-time data pipelines using the DataStream and Table APIs. It includes specific integration examples for connecting Apache Flink with Kafka brokers and Elasticsearch indices, as well as reference implementations for real-time deduplica

    Controls parallelism by dividing task manager memory into fixed resource slots to isolate subtasks on a node.

    Javaclickhouseelasticsearchflink
    Ver en GitHub↗15,071
  • rust-lang/cargoAvatar de rust-lang

    rust-lang/cargo

    14,624Ver en GitHub↗

    Cargo is the official build system and package manager for the Rust programming language. It provides a unified command-line interface that orchestrates the entire development lifecycle, including compiling source code, managing complex dependency graphs, running tests, and distributing packages through a centralized registry. By utilizing declarative manifest files, it ensures that builds remain reproducible and consistent across different environments. The tool distinguishes itself through its deep integration with the Rust compiler and its sophisticated approach to project management. It f

    Uses a jobserver protocol to manage concurrency across processes and respect system resource limits.

    Rustcargopackage-managerrust
    Ver en GitHub↗14,624
  • sogou/workflowAvatar de sogou

    sogou/workflow

    14,301Ver en GitHub↗

    Workflow is an asynchronous C++ task engine designed for building distributed systems and high-performance network services. It provides a framework for orchestrating complex sequences of network, file, and computational operations, allowing developers to compose these tasks into parallel workflows. The library functions as a toolkit for implementing scalable servers and clients for protocols such as HTTP, Redis, MySQL, and Kafka. It distinguishes itself through a task-based concurrency model that manages non-blocking operations and coordinates service discovery, load balancing, and traffic r

    Manages non-blocking operations by mapping network and computational tasks to a fixed-size thread pool for high concurrency.

    C++consuldaghttp
    Ver en GitHub↗14,301
  • mxcl/promisekitAvatar de mxcl

    mxcl/PromiseKit

    14,238Ver en GitHub↗

    PromiseKit is a future-based concurrency framework and promise library for Swift and Objective-C. It functions as an asynchronous workflow coordinator, representing the eventual result of an operation to simplify concurrency logic and replace nested callback structures. The framework enables the coordination of both sequential and parallel asynchronous tasks. It provides a structured pipeline for chaining operations, allowing the results of one task to be passed into the next and facilitating the execution of multiple operations simultaneously. The library includes a state-machine based reso

    Spawns multiple concurrent operations within a shared scope and merges their results upon completion.

    Swift
    Ver en GitHub↗14,238
  • robfig/cronAvatar de robfig

    robfig/cron

    14,141Ver en GitHub↗

    This is a scheduling library for executing recurring tasks in Go applications using cron-style timing expressions. It provides a programmatic interface to trigger functions at specific intervals based on standard calendar patterns. The system manages periodic job execution by converting timing strings into rules that determine execution times. It uses a job interface to wrap custom logic, allowing for the automation of repetitive background tasks and data synchronization within a Go runtime.

    Implements a goroutine-based execution model to ensure that individual tasks do not block the main scheduler.

    Go
    Ver en GitHub↗14,141
Ant.123456…7Siguiente
  1. Home
  2. Software Engineering & Architecture
  3. Task Scheduling

Explorar subetiquetas

  • Asynchronous Schedulers4 sub-etiquetasSchedulers that map network and computational tasks to thread pools for non-blocking execution. **Distinct from Task Scheduling:** Distinct from general task scheduling: focuses on mapping tasks to fixed-size thread pools for high-concurrency asynchronous execution.
  • Cooldown-Constrained Scheduling1 sub-etiquetaAlgorithms that calculate minimum execution time for tasks with cooldown periods between identical tasks. **Distinct from Task Scheduling:** Distinct from Task Scheduling: focuses on cooldown constraints between identical tasks, not dependency graphs.
  • Dependency-Aware Task Orchestration2 sub-etiquetasSystems for managing the order of execution for parallel tasks based on their dependency constraints. **Distinct from Parallel Task Executors:** Focuses on the orchestration logic and dependency resolution within a task graph, whereas Parallel Task Executors often refer to build-system execution.
  • Deployment CooldownsEnforcing a mandatory wait period before deploying a new image version after its release. **Distinct from Cooldown-Constrained Scheduling:** Distinct from cooldown-constrained scheduling: specifically applies to the age of a release before it can be deployed, not the interval between task executions.
  • GCD-Based SchedulingTask scheduling specifically utilizing Grand Central Dispatch queues for concurrency. **Distinct from Task Scheduling:** Specializes general task scheduling to the GCD implementation used in iOS.
  • Gantt Scheduling UIsUser interfaces for visualizing and editing project schedules with support for dependencies and progress tracking. **Distinct from Task Scheduling:** Distinct from Task Scheduling: applies specifically to Gantt chart UI for project scheduling, not general graph-based execution order calculation.
  • Graph Consistency EnforcementMechanisms to ensure structural integrity and prevent race conditions in task dependency graphs. **Distinct from Task Scheduling:** Focuses on preventing race conditions via structural invariants, while Task Scheduling calculates the execution order.
  • Host-Device Synchronization1 sub-etiquetaCoordinates CPU-side function execution within hardware-accelerated task graphs. **Distinct from Task Scheduling:** Distinct from general task scheduling: focuses on bridging host-side logic with device-accelerated kernels.
  • Parallel Task Executors5 sub-etiquetasSystems for executing multiple tasks across projects in parallel while respecting dependency constraints. **Distinct from Task Scheduling:** Focuses on parallel execution within a dependency-aware build system rather than general task scheduling.
  • Spatial SchedulingTask scheduling based on the physical coordinates of entities or blocks within a simulated environment. **Distinct from Task Scheduling:** Distinct from general Task Scheduling by using world coordinates as the primary scheduling criterion rather than logical dependencies.