parallel

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

A Fast, Extensible Progress Bar for Python and CLI

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

✨ Create server-rendered universal JavaScript applications with no configuration

C++ Parallel Computing and Asynchronous Networking Engine

Napa.js: a multi-threaded JavaScript runtime

NumPy aware dynamic Python compiler using LLVM

A General-purpose Parallel and Heterogeneous Task Programming System

A hyperparameter optimization framework

Run commands concurrently. Like `npm run watch-js & npm run watch-less` but better.

A CLI tool to run multiple npm-scripts in parallel or sequential.

🐺 Create browser tests 10x faster

Easy multi-core processing utilities for Node.

Bluepill is a reliable iOS testing tool that runs UI tests using multiple simulators on a single machine

Fast, flexible and easy to use probabilistic modelling in Python.

Metarhia educational program index 📖

A simple and efficient tool to parallelize Pandas operations on all available CPUs

turbo.js - perform massive parallel computations in your browser with GPGPU.

A tiny async loader / dependency manager for modern browsers (899 bytes)

A (WIP) Extremely fast JavaScript and TypeScript linter and Rust crate