Showing 21-40 of 151 projects
A high-performance C++ web server focused on efficiency and scalability.
A collection of high-performance, thread-safe data structures for Go developers.
Asynchronous socket, HTTP(S), and WebSocket library for Android, optimized for performance.
A collection of useful scripts for Java and shell developers to improve their everyday productivity.
This open-source repository provides examples and tutorials for learning RxJava, a powerful reactive programming library, for Android development.
Simple, modern, and thread-safe key-value observing library for iOS and macOS development.
FASTER is a high-performance, concurrent, persistent, recoverable log and key-value store library for .NET developers.
oneAPI Threading Building Blocks (oneTBB) is a C++ library for creating parallel applications using task-based programming.
An asynchronous thread pool framework for Java with dynamic scaling, monitoring, and alerting capabilities.
AutoRecon is a multi-threaded network reconnaissance tool that automates service enumeration.
A modern Ruby concurrency library with agents, futures, promises, and other concurrency patterns.
WebAssembly Micro Runtime (WAMR) is a lightweight and extensible WebAssembly runtime designed for embedded and IoT devices.
Advanced Java Redis client for thread-safe sync, async, and reactive usage, with support for Cluster, Sentinel, Pipelining, and codecs.
A detailed tutorial on C++ concurrency programming, covering threads, mutexes, condition variables, and more.
The Forge is a cross-platform framework for building AI-powered applications with ray tracing and multi-gpu support.
A lightweight dynamic thread pool with built-in monitoring and alerting, supporting popular config centers.
Moves an async function into its own thread for improved performance and responsiveness.
A cross-platform, multi-threaded downloader with AI-boosted fluent design, built with Python and QUIC for high-speed streaming.
A library for running a module in a Web Worker, enabling efficient concurrent processing in the browser.
joblib provides easy-to-use caching, parallel computing, and memoization for Python functions.
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