# pypy/pypy

PyPy is a very fast and compliant implementation of the Python language.

Repository: https://github.com/pypy/pypy
Canonical: https://ross.abutalabs.com/products/pypy
Homepage: https://pypy.org
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-08-26T19:45:36+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 69
- inputs: {"age_days": 978, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1783, forks 125 (observed 2026-08-28T04:05:35.616710+00:00)

## What it is
PyPy is a fast, compliant alternative implementation of the Python programming language built on the RPython compiler framework. It features a Just-in-Time compiler that typically makes Python programs run several times faster than CPython, with lower memory usage for memory-hungry workloads.

## Use cases
- speed up long-running python programs
- run python code faster than cpython
- reduce memory usage of python applications
- run django or twisted on a faster interpreter
- massive concurrency with micro-threads
- use python 2.7 or 3.11 with jit compilation

## When to choose
- your workload is long-running and spends most time executing pure python code
- you need better performance or memory footprint than cpython without rewriting code
- you want stackless-style micro-threads for massive concurrency

## When to avoid
- your program is short-running, so the jit never warms up
- you depend heavily on c extension modules that are slow or unsupported under pypy's c-api compatibility layer
- you need guaranteed cpython-identical behavior such as sys.getrefcount or refcounting-based garbage collection

## Facets
- artifact type: cli-tool
- maturity: stable
- function: interpreter, compiler, programming-language
- domain: programming-languages, compilers, performance
- platform: windows, cross-platform, python
- tags: jit, rpython, cpython-alternative, stackless, garbage-collection, interpreter, linux, macos

## Member repositories
- pypy/pypy (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:35.616710+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 2026-08-30T08:32:22.274376+00:00, confidence not recorded.
  - readme: https://github.com/pypy/pypy (fetched 2026-08-28T04:05:35.616710+00:00, sha 2fffebfb7511)
  - homepage: https://pypy.org (fetched 2026-08-29T11:02:53.352786+00:00, sha 67cad1072312)
  - site_page: https://pypy.org/features.html (fetched 2026-08-29T11:02:53.362121+00:00, sha 524e260eb47b)
  - site_page: https://doc.pypy.org (fetched 2026-08-29T11:02:53.365010+00:00, sha 7d32f4e49c7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.