# klen/pylama

Code audit tool for python.

Repository: https://github.com/klen/pylama
Canonical: https://ross.abutalabs.com/products/pylama
Language: Python
License: MIT
License Family: permissive
Last push: 2026-06-22T05:02:41+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": 5129, "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 1048, forks 100 (observed 2026-08-28T04:03:22.266813+00:00)

## What it is
Pylama is a code audit tool for Python that wraps multiple linters (pycodestyle, pydocstyle, PyFlakes, McCabe, Pylint, Radon, eradicate, Mypy, Vulture) behind a single command-line interface. It provides unified output, configurable error ignoring, and optional TOML configuration.

## Use cases
- lint python code with multiple linters from one command
- check pep8 style compliance in a python project
- run static analysis on a python codebase recursively
- ignore specific lint error codes like line length
- integrate code quality checks into CI
- find dead code and type errors in python

## When to choose
- you want a single entry point aggregating many python linters
- you need configurable, per-project lint settings with selective linter choice
- you want parsable or json lint output for tooling

## When to avoid
- you only need one linter like ruff or flake8 with faster performance
- you need auto-formatting rather than lint reporting
- you are linting non-python code

## Facets
- artifact type: cli-tool
- maturity: active
- function: linter, code-review, cli, developer-tools
- domain: developer-tools, testing
- platform: python, cli, cross-platform
- tags: code-quality, static-analysis, pycodestyle, pyflakes, mypy, pylint, code-audit, python, command-line

## Member repositories
- klen/pylama (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.266813+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 2026-08-30T07:00:45.143156+00:00, confidence not recorded.
  - readme: https://github.com/klen/pylama (fetched 2026-08-28T04:03:22.266813+00:00, sha 424e99872874)
  - registry_pypi: https://pypi.org/pypi/pylama/json (fetched 2026-08-29T13:02:30.729234+00:00, sha 66bb890ee4a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.