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).

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

【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

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.

Parallel processing for PHP based on Amp.

100% Vanilla Javascript Multithreading & Parallel Execution Library

Parallel processing with progress bars

Efficient Haskell Arrays featuring Parallel computation

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

The Accelerator is a tool for fast and reproducible processing of large amounts of data.