# topazproject/topaz

A high performance ruby, written in RPython

Repository: https://github.com/topazproject/topaz
Canonical: https://ross.abutalabs.com/products/topazproject-topaz
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2022-06-18T11:47:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5260, "days_push": 1537, "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 1007, forks 85 (observed 2026-08-28T04:03:12.391802+00:00)

## What it is
Topaz is an implementation of the Ruby programming language written in Python using the RPython toolchain from PyPy. It compiles to a native VM with a JIT, aiming for simplicity of implementation and high performance.

## Use cases
- run ruby scripts with a fast alternative interpreter
- study how to implement a language with RPython
- experiment with a JIT-compiled ruby VM
- benchmark ruby implementations
- learn VM construction techniques

## When to choose
- you want a high-performance alternative ruby implementation
- you are researching RPython-based language implementations
- you need a simple ruby VM codebase to study or hack on

## When to avoid
- you need a production ruby interpreter with full compatibility
- you need active maintenance or recent ruby version support
- you want a pure-python ruby without a translation build step

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: interpreter, programming-language, compiler
- domain: programming-languages, compilers, performance
- platform: windows, python, cross-platform
- tags: ruby, rpython, jit, vm, language-implementation, interpreter, linux, macos

## Member repositories
- topazproject/topaz (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:12.391802+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 2026-08-30T08:33:52.010957+00:00, confidence not recorded.
  - readme: https://github.com/topazproject/topaz (fetched 2026-08-28T04:03:12.391802+00:00, sha 28d07607c80d)
- Data as of 2026-08-30T08:39:29.467469+00:00.