41 Repos
Executing multiple operations simultaneously using concurrency models to improve throughput.
Distinct from Parallel Task Execution: Focuses on general concurrent execution of logic, distinct from build/test task parallelism in dev tools.
Explore 41 awesome GitHub repositories matching development tools & productivity · Concurrent Task Execution. Refine with filters or upvote what's useful.
Scala is a statically typed programming language and compiler that combines object-oriented and functional programming paradigms. It serves as a cross-platform runtime language capable of targeting the Java Virtual Machine and JavaScript to share logic between backend servers and web frontends. The project provides a functional programming framework with immutable data structures and higher-order functions to build reliable concurrent and distributed applications. It distinguishes itself through deep interoperability with Java and JavaScript ecosystems and the ability to transform code into n
Manages asynchronous computations and concurrent task execution to improve throughput.
This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad
Executes multiple operations simultaneously using concurrency models to handle several tasks without sequential blocking.
This project is a collection of programming language references and syntax cheat sheets designed for rapid developer onboarding. It serves as a library of code-based documentation that uses valid source code files to provide whirlwind tours of various language specifications. The project focuses on programming language learning by providing concise, commented code examples that explain core features and syntax in place. This approach enables developers to quickly grasp language-specific patterns, data types, and execution flow through a consistent reference format. The content covers a broad
Shows how to execute multiple operations simultaneously using various concurrency models.
co is a JavaScript generator control flow library and non-blocking workflow engine. It manages asynchronous logic by using generators and promises to simulate a synchronous coding style. The project transforms generator functions into standard functions that return promises, ensuring compatibility with non-generator interfaces. It also functions as a promise-based asynchronous orchestrator that executes multiple operations concurrently through the recursive resolution of nested promise collections. The library provides high-level primitives for asynchronous flow control and non-blocking work
Executes multiple asynchronous operations simultaneously to improve throughput and minimize wait time.
LearnPython is a programming tutorial consisting of a collection of practical code examples used to demonstrate Python language features and programming patterns. It serves as a comprehensive learning resource that implements core language concepts through functional code. The project provides specialized guides and samples covering several key domains. These include asynchronous network programming with event loops and coroutines, data visualization using numerical datasets for 2D and 3D plots, and web scraping for fetching content and automating login flows. It also features instructions on
Shows how to run multiple functions in parallel using threads and processes to improve performance.
pysheeet ist eine technische Referenzbibliothek, die eine kuratierte Sammlung von Code-Snippets und Implementierungsmustern für fortgeschrittene Python-Entwicklung, Systemintegration und High-Performance-Computing bereitstellt. Sie dient als umfassender Leitfaden für die Implementierung von Low-Level-Netzwerkprogrammierung, nativen C-Erweiterungen sowie asynchroner und nebenläufiger Programmierung. Das Projekt bietet spezialisierte Frameworks für die Entwicklung und Bereitstellung von Large Language Models, einschließlich Werkzeugen für verteilte GPU-Inferenz und High-Performance-Serving. Es enthält zudem detaillierte Muster für die Orchestrierung von High-Performance-Computing-Clustern, die GPU-Ressourcenzuweisung und Multi-Node-Workload-Management abdecken. Die Bibliothek deckt ein breites Spektrum an Funktionen ab, einschließlich sicherer Netzwerkkommunikation und Kryptografie, Object-Relational-Mapping und Datenbankverwaltung sowie die Implementierung komplexer Datenstrukturen und Algorithmen. Sie bietet zudem Utilities für Speicherverwaltung, native Interoperabilität via Foreign-Function-Interfaces und systemnahe OS-Integration.
Provides implementation patterns for blocking execution until specific conditions, such as all tasks completing, are met.
This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional
Implements the execution of multiple operations in separate threads to share CPU time and process tasks in parallel.
This project is a C++ TCP server framework and educational socket programming guide. It provides a high-performance network library focused on event-driven architecture, implementing a reactor pattern to handle thousands of simultaneous client connections. The framework is distinguished by its multi-threaded event loop, which utilizes a main-sub reactor coordination model to distribute network events across a worker thread pool. It includes an abstraction layer for non-blocking socket I/O and event multiplexing via the epoll system call, decoupling network transport from application business
Supports executing asynchronous functions in a thread pool and retrieving results via futures.
pydoll is a Chrome DevTools Protocol automation library and headless browser controller used for web data extraction and parallel browser automation. It controls Chromium-based browsers via direct WebSocket connections, allowing it to manage isolated browser contexts and tabs while bypassing the overhead and detection associated with WebDriver. The project features an anti-bot evasion framework that mimics natural human behavior, including mouse movements generated via Bezier curves and variable typing patterns. It provides specialized stealth capabilities to bypass behavioral analysis and au
Executes multiple automation tasks across different browser tabs simultaneously to increase throughput.
DataX Web is a web-based management platform for scheduling, building, executing, and monitoring distributed data synchronization jobs powered by DataX. It provides a visual console for creating and managing DataX tasks without manual JSON configuration, with a distributed executor cluster that auto-registers worker nodes and supports configurable routing and blocking strategies for task distribution. The platform offers cron-based task scheduling with dynamic start, stop, and immediate status changes, along with incremental sync capabilities that pass dynamic parameters to extract only new o
Provides routing strategies and blocking policies for managing concurrent task execution across a cluster.
Zero-cost asynchronous programming in Rust
Spawning and driving multiple futures on executors, including thread pools and thread-local executors.
Concurrent Ruby is a comprehensive concurrency toolkit for the Ruby language that provides thread-safe data structures, synchronization primitives, and asynchronous execution patterns. It implements core concurrency abstractions including an actor model framework where isolated actors communicate through asynchronous message passing, a future and promise system for composing non-blocking operations, and thread pool executors that manage reusable worker threads for concurrent task execution. The library distinguishes itself through a broad set of coordination mechanisms that go beyond basic th
Executes blocks in separate threads via thread pools, returning futures for result retrieval.
This is an open-source, crowd-sourced wiki textbook that teaches Linux system programming in C. It covers the core operating system concepts of process management through the fork-exec-wait model, dynamic memory allocation using implicit free list heap allocators, inode-based file systems, inter-process communication via pipes and shared memory, POSIX threads with synchronization primitives, signal-based asynchronous notification, virtual memory with page table translation, and runtime diagnostics using Valgrind and GDB. The textbook distinguishes itself by providing practical, implementation
Teaches concurrent task execution using POSIX threads across multiple CPU cores.
recon-ng is an open source intelligence reconnaissance framework designed to automate the collection and aggregation of public information. It is a modular intelligence tool that utilizes a system of pluggable modules to harvest target data, resolve DNS queries, and parse web content. The framework is built as an API-driven tool with a programmatic interface to integrate with other security workflows. It is provided as a containerized application, using Docker to ensure a consistent environment for running reconnaissance tasks and managing a persistent data store. Its capabilities cover exte
Uses a concurrent execution model to send multiple network requests simultaneously, reducing data gathering time.
ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Executes multiple pipeline steps concurrently to improve throughput and reduce total runtime.
ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Executes independent work units in parallel using asynchronous submission to improve throughput and reduce execution time.
Dieses Projekt ist eine Erweiterung der Swift-Standardbibliothek und eine plattformübergreifende Systembibliothek. Es bietet eine Sammlung grundlegender Utility-Typen und Datenstrukturen, die die Swift-Basissprache erweitern und als betriebssystemunabhängige Schnittstellenschicht für Systemoperationen wie Netzwerk- und Dateisystemzugriffe dienen. Das Projekt verfügt über eine spezialisierte C++-Interoperabilitätsschicht, die C++-Typen und -Funktionen auf kompatible Swift-Schnittstellen für die sprachübergreifende Kommunikation abbildet. Dies beinhaltet einen Bridging-Mechanismus für Standardbibliothekstypen und externe Container, wodurch C++-Typen entweder als Referenz- oder Wertetypen gemappt werden können, um Speicherverwaltung und Semantik zu synchronisieren. Zu den umfassenden Funktionen gehören die Datenserialisierung für die Kodierung und Dekodierung strukturierter Formate wie JSON sowie ein Internationalisierungs-Framework für lokalisierungsspezifische Formatierungen, Kalender und regionale Einstellungen. Zudem bietet es ein Core-Datenmanagement für die Handhabung von URLs und binären Rohdaten.
Enables the execution of multiple operations simultaneously across multicore hardware to increase throughput.
Dieses Projekt ist eine Sammlung von Objective-C iOS-Anwendungs-Demos und Code-Beispielen. Es bietet Implementierungen für grundlegende Entwicklungsmuster und systemnahe Funktionen innerhalb der iOS-Umgebung. Das Repository konzentriert sich auf Beispiele für die Objective-C-Runtime und demonstriert dynamisches Method-Dispatching und Runtime-Swizzling zur Änderung des Objektverhaltens. Es enthält zudem eine Core-Animation-UI-Bibliothek sowie Beispiele für iOS-Multithreading und Concurrency-Management. Das Projekt deckt Funktionen für UI-Animation und Grafik, die Koordinierung nebenläufiger Aufgaben sowie die Integration von Drittanbieter-Diensten für Authentifizierung und Social Sharing ab.
Executes multiple operations simultaneously using queues to prevent main thread blocking.
Dieses Projekt ist eine umfassende Vorbereitungshilfe für technische Interviews und eine Wissensdatenbank für Informatik. Es dient als strukturierte Lernressource, die Software-Engineers dabei unterstützt, grundlegende Engineering-Konzepte zu wiederholen und sich auf professionelle Coding-Assessments vorzubereiten. Das Repository konzentriert sich auf eine Vielzahl theoretischer und praktischer Bereiche, einschließlich detaillierter Referenzen für mobile App-Architektur und Betriebssystem-Grundlagen. Es bietet kuratierte Materialien zu Software-Architekturmustern und Netzwerkprotokoll-Analyse zur Unterstützung der beruflichen Weiterentwicklung. Der Inhalt deckt fundamentale Bereiche wie Datenstrukturen und Algorithmen, Concurrency und Multithreading sowie Speicherverwaltung ab. Zudem bietet es tiefgehende Einblicke in Systemarchitektur, einschließlich Prozess-Scheduling, Inter-Process-Communication und UI-Rendering-Optimierung.
Discusses executing multiple units of work in parallel to improve processing throughput.
Sbt ist ein JVM-Build-Tool und Abhängigkeitsmanagementsystem, das für Scala und Java entwickelt wurde. Es fungiert als Multi-Projekt-Build-Orchestrator, der die Kompilierung von Quellcode verwaltet, externe Bibliotheken aus Remote-Repositories auflöst und Binärdateien für die Verteilung paketiert. Das Projekt zeichnet sich durch sein interaktives Build-System aus, das eine Read-Eval-Print-Loop für die Echtzeit-Zustandsinspektion und Aufgabenausführung bietet. Es nutzt ein auf Abhängigkeitsgraphen basierendes Ausführungsmodell, um Aufgaben zu verarbeiten, und unterhält einen typsicheren Schlüssel-Wert-Speicher für die dynamische Build-Konfiguration. Seine Funktionen decken die JVM-Build-Automatisierung mit inkrementeller Rekompilierung, modularer Projektorganisation und automatisierter Testausführung ab. Das System unterstützt zudem die versionsübergreifende Kompilierung, die Veröffentlichung von Artefakten in Cloud-Speichern und ein erweiterbares Plugin-Modell für das Hinzufügen benutzerdefinierter Build-Logik.
Executes independent build steps in parallel based on a dependency graph to significantly reduce total build time.