Directory

Distributed data processing engine with DataFrame and SQL APIs in Python, Scala, Java and R, plus structured streaming and MLlib

Python library for parallel and distributed computing that scales pandas, NumPy and custom task graphs from a laptop to a cluster

Open-source software that pools several Apple Silicon Macs (and Linux hosts) into one local inference cluster, sharding large models across devices with MLX

Shell tool that runs commands in parallel over input lines on one or several machines, as a drop-in alternative to xargs and shell loops

Community-maintained package manager for macOS and Linux that installs command-line tools (formulae) and desktop apps (casks) from the terminal

Open-source system for scheduling, scaling and operating containerized workloads across a cluster of machines

C/C++ inference engine for LLMs and vision-language models with GGUF quantized weights, Metal, CUDA, Vulkan and other backends, a CLI and an OpenAI-compatible server

Proprietary desktop app for discovering, downloading and running local LLMs with llama.cpp and MLX engines, a chat UI, an OpenAI-compatible server, CLI, SDKs and a headless daemon

Apple's open-source array framework for machine learning on Apple Silicon, with NumPy-like Python, C++ and Swift APIs and unified CPU/GPU memory

Open-source runtime and model manager for running open-weight LLMs locally on macOS, Windows and Linux, with a REST API, OpenAI- and Anthropic-compatible endpoints and optional cloud models

Open-source implementation of the MPI message-passing standard used to run tightly coupled parallel programs across the nodes of a cluster

Open-source Python framework for distributing tasks, actors and ML workloads across a cluster, with libraries for data processing, training, tuning, serving and reinforcement learning

Open-source cluster resource manager and job scheduler for Linux clusters, allocating nodes, launching jobs and managing queues on many HPC systems

Apple's compiled, memory-safe, multi-paradigm language for Apple platforms, Linux, Windows and embedded targets, developed in the open at swift.org

High-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantization and an OpenAI-compatible server for GPU and accelerator clusters