README.md

metadata

title: Python → Rust & C++
emoji: ⚡
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 6.23.1
app_file: app.py
pinned: false
short_description: LLM ports Python to Rust or C++, measured and verified

Python → Rust & C++

Give it a Python program. An LLM rewrites it in Rust or C++. Both are then compiled and executed under the same sandbox, so the speedup is measured, not estimated — and the two outputs are compared, because a translation that is fast but wrong is not a translation.

Measured results

Max subarray sum, O(n²), n=10 000 × 20 seeds, measured on a laptop:

Target	Model	Python	Compiled	Speedup	Output
C++	GPT-5 Nano	24.739 s	0.337 s	73×	identical ✓
Rust	GPT-5	24.518 s	0.391 s	63×	identical ✓
Rust	GPT-5 Nano	24.590 s	0.405 s	61×	identical ✓

Timings on this Space will be slower — it runs on shared CPU. The ratio is the point and stays representative.

Notes

• Free to use. The demo runs on a free-tier model. Frontier models (GPT-5, Claude, Grok) require your own API key — pasted keys are used for a single request and never logged, stored, or written to disk.
• Submitted code is sandboxed. It runs in a separate process with an allowlisted environment containing no API keys, a wall-clock timeout, and CPU, memory, and process-count limits.
• First load may take ~30 seconds if the Space has been idle.

Source and full write-up: https://github.com/Yugjohri/python-to-rust-cpp