An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.

Use a yaml file to stitch together commands and bash snippits and run them with a bit of style. Why? Because your bash script should be quiet and shy-like (...and not such a loud mouth).

【A simple C++ DAG framework】 一个简单好用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Python supercharged for the fastai library

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

An advanced parallelization library for PHP, enabling efficient multitasking, optimizing resource use, and application responsiveness through multiple CPU threads.

100% Vanilla Javascript Multithreading & Parallel Execution Library

Parallel processing with progress bars

Efficient Haskell Arrays featuring Parallel computation

Video and Image Processing and Computer Vision Library in pure JavaScript (Browser and Node.js)

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A small Java 8 util library, complementary to Guava (BiStream, Substring, MoreStreams, Parallelizer).

STREAM, for lots of devices written in many programming models

Parallel SSH Tools

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

基于注解实现并行地依赖注入（数据聚合），可以看做 Spring Async 注解的升级版

Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture