# 42school/norminette

Official 42 norminette

Repository: https://github.com/42school/norminette
Canonical: https://ross.abutalabs.com/products/norminette
Language: Python
License: MIT
License Family: permissive
Last push: 2026-01-13T20:25:58+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 62, release rhythm 40, longevity 100
- inputs: {"age_days": 2302, "days_push": 232, "days_rel": 453, "gap_med": 1, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1229, forks 188 (observed 2026-08-28T04:04:03.637006+00:00)

## What it is
The official C code style linter (norminette) for 42 Network schools, enforcing the 42 coding standard on .c and .h files. It is a Python-based command-line tool installable via pip/pipx and usable in CI via a GitHub Action.

## Use cases
- check my C code against the 42 norm before submitting
- lint C and header files for style violations
- run norminette in a GitHub Action on push
- scan a whole project folder recursively for norm errors
- install norminette via pipx or pip

## When to choose
- you are a 42 school student needing to validate code against the official norm
- you want automated norm checks in CI for 42 projects

## When to avoid
- you need a general-purpose C linter like clang-tidy or cppcheck
- your project is not bound to the 42 coding standard

## Facets
- artifact type: cli-tool
- maturity: active
- function: linter, cli, developer-tools
- domain: developer-tools, education, programming-languages
- platform: python, cli, cross-platform
- tags: c-language, code-style, 42-school, coding-standard, education-tool, command-line, docker

## Member repositories
- 42school/norminette (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:03.637006+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 2026-08-30T06:15:04.475084+00:00, confidence not recorded.
  - readme: https://github.com/42school/norminette (fetched 2026-08-28T04:04:03.637006+00:00, sha 39d37c3d7b92)
  - registry_pypi: https://pypi.org/pypi/norminette/json (fetched 2026-08-29T12:22:49.976440+00:00, sha 0302fff5d874)
- Data as of 2026-08-30T08:39:29.467469+00:00.