# rochacbruno/py2rs

A quick reference guide for the Pythonista in the process of becoming a Rustacean

Repository: https://github.com/rochacbruno/py2rs
Canonical: https://ross.abutalabs.com/products/py2rs
Homepage: https://rochacbruno.github.io/py2rs/
Language: CSS
License: AGPL-3.0
License Family: copyleft
Topics: python, rust, pythonista, rustacean, examples, cheatsheet, reference, guide, learning, hacktoberfest
Last push: 2026-06-22T16:41:05+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 35, longevity 100
- inputs: {"age_days": 3200, "days_push": 72, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2087, forks 73 (observed 2026-08-28T04:06:11.997194+00:00)

## What it is
py2rs is a quick reference guide mapping Python concepts to their Rust equivalents, published as an mdbook site. It helps Python developers learn Rust through side-by-side comparisons and examples.

## Use cases
- learn rust coming from python
- find the rust equivalent of a python concept
- cheatsheet for python developers switching to rust
- side-by-side python and rust examples
- quick reference while writing rust after python

## When to choose
- you already know Python and want to learn Rust
- you need a quick lookup of Rust equivalents to Python idioms
- you prefer example-driven comparison guides

## When to avoid
- you need a full Rust tutorial or book
- you are learning Python from scratch
- you need executable code or a tool rather than documentation

## Facets
- artifact type: learning-resource
- maturity: stable
- function: documentation
- domain: programming-languages, tutorials, developer-tools
- platform: -
- tags: cheatsheet, rust, python, reference-guide, mdbook, web-server

## Member repositories
- rochacbruno/py2rs (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.997194+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:55:46.425581+00:00, confidence not recorded.
  - readme: https://github.com/rochacbruno/py2rs (fetched 2026-08-28T04:06:11.997194+00:00, sha 64352f588c12)
  - homepage: https://rochacbruno.github.io/py2rs/ (fetched 2026-08-29T10:35:37.673379+00:00, sha 6a48678e2c79)
- Data as of 2026-08-30T08:39:29.467469+00:00.