jgarzik

jgarzik / apython

Public

Accelerated Asm Python

asm asmx86 python python3 x86-64
124
5
100% credibility
Found Feb 22, 2026 at 81 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Assembly
AI Summary

apython is a high-performance implementation of a Python 3.12 bytecode interpreter written entirely in low-level assembly for maximum single-core speed.

How It Works

1
🔍 Discover apython

You learn about apython, a super speedy way to run Python programs that makes everything from math to lists feel lightning fast.

2
💻 Get your computer ready

You add a few helper tools to your Linux machine so you can prepare and enjoy fast Python running.

3
⚡ Create the fast runner

You prepare apython with a simple build step, and now you have your own turbocharged Python engine ready to go.

4
📝 Prepare your Python story

You take a regular Python file and turn it into a special ready-to-race version that apython loves.

5
▶️ Launch your program

You start apython with your prepared file, and watch your code zip through tasks at amazing speeds.

6
✅ Check with tests

You run built-in tests to see everything working perfectly, from simple adds to fancy patterns.

🚀 Speedy Python success

Your programs now run blazing fast, handling complex tasks smoothly, and you feel the thrill of peak performance.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 81 to 124 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is apython?

apython is a Python 3.12 bytecode interpreter built entirely in x86-64 assembly—no C runtime or CPython layers. It runs compiled .pyc files directly for blazing single-core speed on integers and floats, handling everything from async/await to pattern matching and garbage collection. Developers get a drop-in alternative via simple CLI: compile your script with python3 -m py_compile, then ./apython yourfile.pyc.

Why is it gaining traction?

In a world of accelerated C++ GitHub repos and data science speedups, apython stands out as pure asm Python on GitHub accelerated computing hubs, packing 100+ opcodes, 50 builtins, and modules like asyncio with io_uring for zero-copy I/O. Users notice raw performance on loops, comprehensions, and generators without JIT warmup, plus full GDB debugging. The hook? Proof that assembly can match Python's complexity while slashing overhead.

Who should use this?

Low-level hackers tuning Python for embedded Linux or real-time systems, where every cycle counts. Performance obsessives benchmarking accelerated rendering or scan algorithms against CPython. Researchers exploring apython meaning in github accelerated features for single-threaded bottlenecks.

Verdict

Impressive assembly tour-de-force with solid test coverage and docs, but at 15 stars and 1.0% credibility, it's early alpha—great for tinkering, skip for production. Fork and contribute if accelerated asm Python excites you.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.