PyExPool – Tiny Multi-Process Execution Pool for Python

In plain words

PyExPool is a Python library that manages concurrent execution of tasks across multiple processes with customizable resource constraints including memory limits, timeouts, CPU core allocation, and processor affinity. It provides load balancing and profiling capabilities optimized for NUMA (non-uniform memory access) architectures, making it suitable for developers needing fine-grained control over how external applications consume system resources during parallel execution.

written from the facts on this page · September 2026

• 
  Shpool, a Lightweight Tmux Alternative2024 · github.com · ▲323

  shpool is a terminal session persistence tool developed internally at google to support remote workflows, which we have open sourced.

• 
  I built a hardware processor that runs Python2025 · runpyxl.com · ▲983

  Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

• 
  Forkrun – NUMA-aware shell parallelizer (50×–400× faster than parallel)Mar 2026 · github.com · ▲151

  forkrun is the culmination of a 10-year-long journey focused on "how to make shell parallelization fast". What started as a standard "fork jobs in a loop" has turned into a lock-free, CAS-retry-loop-free, SIMD-accelerated, self-tuning, NUMA aware shell-based stream parallelization engine that is (mostly) a drop-in replacement for xargs -P and GNU parallel. On my 14-core/28-thread i9-7940x, forkrun achieves: * 200,000+ batch dispatches/sec (vs ~500 for GNU Parallel) * ~95–99% CPU utilization across all 28 logical cores, even when the workload is non-existant (bash no-ops / `:`)…

• 
  Parallelise pipelines of Python async iterables2020 · github.com · ▲71

  Utility function to parallelise pipelines of Python asyncio iterators/generators - michalc/asyncio-buffered-pipeline

• PA
  Pump, a dead simple Pythonic abstraction of HTTP.2011 · adeel.github.com · ▲118
• 
  Pyper – Concurrent Python Made Simple2025 · github.com · ▲156

  Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…

• 
  /dev/null▲472

  a social network for devs

  Dev tools · 2d ago · dev-null.sh

• 
  Whiteboard (YC W26) – an open-source IDE for thoughtful software design▲423

  open-source IDE for thoughtful software design. Contribute to devdotfast/whiteboard development by creating an account on GitHub.

  Dev tools · 27d ago · github.com

• 
  Reladraw – A diagram language where you decide where to place things▲411

  Contribute to reladraw/reladraw development by creating an account on GitHub.

  Dev tools · 25d ago · github.com

• 
  OpenBot▲362

  Grok Bot alternative: free, local, open-source, multiplayer

  Dev tools · 22d ago · openbot.run

• 
  Talanoa▲340

  Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…

  Dev tools · 20d ago · talanoa.email

• 
  CoreSpeed▲332

  One MCP for everything your agents need: apps, memory, tools

  Dev tools · 27d ago · corespeed.io

• 
  Siftery▲1,018

  Share products you use at work,explore what others are using

  Work · 2016 · siftery.com

• 
  Website Grader▲768

  Grade your website's strengths and weaknesses in seconds.

  Growth · 2016 · website.grader.com

• 
  Truebill▲766

  Find your paid subscriptions and cancel with one click

  Commerce · 2016 · rocketmoney.com

• 
  Oristand▲749

  A super affordable, portable standing desk

  Work · 2016 · oristand.co

• 
  Clearbit Connect▲723

  Rapportive on steroids. See data about contacts in Gmail.

  Growth · 2016 · clearbit.com

• 
  Maître Viral Referral Waiting List▲668

  Create a viral waiting list in 60 seconds

  Growth · 2016 · app.referralhero.com