simple multi-processes management framework based on pcntl

Parallelism and preemptive concurrency for sporadic workloads

A multiprocessing library for Java that features process pool implementations and a flexible API.

A Python Process Pool Executor implementation that is harder to break

Easy to use worker pool with dynamic pool sizing.

asyncio executors, clean and simple.

Dynapipeline is a framework designed for building and managing data pipeline workflows

A high-performance Python utility for batch-converting standard images into retro, stylized pixel art with custom palettes and CRT scanline effects.

Patches asyncio to add to_process — offload CPU-bound work to a separate process, get back an awaitable ProcessTask with full metadata, graceful cancellation, and first-class type support.

This is simple MPI process pool implementation. Supporting disconnection and reconnection of the nodes.

Remote Build Server using C#

Parallel process pool that throttles the task producer thread to avoid out-of-memory issues

Conways' Game of life multi-core implementation

Job Management System (JMS), created for Systems Programming course, Spring 2016-2017

Project for Parallel Algorithms course at Faculty of Computing

Start serveral process which process commands read from txt file

轻量的 Rust 命令池库，支持多线程/多进程执行、并发控制、Pipeline 等功能

Zero-dependency parallel script runner for Python — define tasks, run them in parallel, stream results.

Streamable HTTP proxy for stdio MCP servers with per-request API key injection via headers

Execute multiple commands using process pool in bash