Cross-platform test runner
FiPy is a Finite Volume PDE solver written in Python
NWChem: Open Source High-Performance Computational Chemistry
Parsl - a Python parallel scripting library
Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.
Is Parallel Programming Hard, And If So, What Can You Do About It?
HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics.
Extended Memory Semantics - Persistent shared object memory and parallelism for Node.js and Python
PaSh: Light-touch Data-Parallel Shell Processing
RAJA Performance Portability Layer (C++)
A Python library for running thousands of MuJoCo simulations in parallel on CPU
NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams.
DaCe - Data Centric Parallel Programming
Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.
Ready to use Lean Test Automation Architecture using Java and Selenium WebDriver to speed up your test automation
Live reload for Go apps. Watch arbitrary files and respond with arbitrary commands. Supports running multiple commands in parallel.
Claude Code plugin for Elixir/Phoenix/LiveView β 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
Terminal-first, open-source AI agent manager for any CLI agent (agent agnostic), any OS (mac, windows, linux). The Open-Source Agentic Development Environment for running multiple coding agents in parallel. Run locally or self-host Remote Pane to manage agents from desktop or phone. Simplify multi-agent orchestration with the runpane CLI.
A terminal-first agentic development environment for agentic coding. Build for CLI/TUI agent. Runtime for Coding Agent, Tmux alternative
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
Open-source control plane for AI coding agents. Run an AI engineering team: parallel Claude Code, Codex, and Gemini workers with a shared board, atomic tasks, schedules, loops, origin-stamped messaging, model switching, and self-healing recovery. One dashboard, or your phone. MIT, single Rust binary.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.
Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud
Heterogeneous programming in Julia
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
A framework for high-performance medical image processing, neural network inference and visualization
The open-source AI IDE for Claude Code, Codex, OpenCode, and more. Run agents in parallel, locally or in the cloud, and build reusable workflows.
The best way to work with coding agents. Run fifty in parallel, let them spawn each other, review everything in one place.
Grasp helps you manage multiple projects and parallel coding agents in one visual workflow, so humans can understand faster and ship more.
Parallel cognitive runtime for Pi
A unified, torch-native training framework for MTP and block-parallel speculative decoding.
Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Native, non-invasive parallel multi-account & sandbox manager for Google Antigravity
Multi-agent task orchestration for coding agents. Turn one goal into an ordered plan of tasks (each with its own runner, model and mode), then execute and verify the results.
Gradient descent, but the parameters are agents β a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
Asynchronous Pi subagents and agent fleet orchestration for parallel coding agents with nested delegation, background work, and supervision in herdr.
Fast, parallel 2D Delaunay triangulation using exact integer predicates
Omarchy VM for Apple Silicon (OmacVM.app, UTM, VMware or Parallels), feeling native: Full notch rendering, trackpad gestures, macOS-like scrolling, GPUΒ acceleration, synced Wi-Fi, audio and key controls ANDΒ TouchID π₯
Open-source macOS download manager: parallel-connection downloads, Safari & Chrome integration, video downloads via yt-dlp. English & Turkish.
Open-source leader + follower robot arm kit: 5 DOF + gripper, PET-CF frame, parallel gripper, LeRobot-compatible. STEP/STL, BOM, print and assembly guide.
Luna-first Codex workflow: Luna Max by default, parallel Luna workers, and Sol Advisor only for genuinely difficult decisions.
Graph Engineering, simplified β with GraphCode. #graphcode
Local desktop app that runs Claude Code and Codex in parallel git worktrees and supervises them until you merge.
Official MiniMax-H3 8-step PDD Acc LoRAs (alibaba-pai) in ComfyUI: LoRA + parallel-decoding head bank, euler on trained sigmas, audio+video in 8 steps
One control plane for parallel React Native work on macOS: slimmed iOS simulators & Android emulators, live dashboard, leased Metro ports, shared native build cache, and Claude Code / Codex device attribution.
DeepSeek-V4-Flash-0731 on 4x CMP 170HX (sm_80): 98 tok/s decode, ~5300 tok/s prefill. DSpark speculative decoding under pipeline parallelism, which vLLM does not support upstream.
Loop engineering for software development. Turn any repository into a self-organizing AI engineering team β 8 specialists, contract-driven, evidence-gated, parallel feature voyages.
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An open-source workspace for coding agents, running on your own machine. More work. Less AI waste. Same subscriptions.
A desktop GUI for running dozens of Claude Code and Codex agents in parallel, each in its own git worktree. Answer them like email, or work the board. Free, open source, on the plan you already pay for.
Ordinary SQLite files, one sharded databaseβparallel writes, PostgreSQL, HTTP, Rust, Python, and shard-safe IDs.
Desktop GUI for the omp coding agent: parallel sessions, visual tool calls, model/provider management, and usage analytics.
A 4B diffusion grounding model for fast, precise visual evidence extraction. Unifies diverse grounding tasks through parallel decoding, with optional self-speculative decoding delivering 4.51x autoregressive throughput on COCO.
Native macOS terminal for running, monitoring, and reviewing parallel Claude Code and Codex sessions.
AI-powered code review platform that ranks #1 on AACR-Bench with 52.8% precision, 23.4% recall, and 32.4% F1. Plans PR investigations, runs parallel reviewers, and verifies every finding against code evidence.
JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.