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

PHP Process Pool (Using symfony process)

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

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

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.

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

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

Pipe-based multiprocessing framework for Python with inter-task dependencies — proof-of-concept / portfolio piece (2022).

Start serveral process which process commands read from txt file

Project for Parallel Algorithms course at Faculty of Computing

Conways' Game of life multi-core implementation

Use Python multiprocessing (Pool) to speed up a CPU-bound task, compare sequential vs parallel map, implement cpu_intensive_task, run and record timings, and explain why processes bypass the GIL compared with threads.