---
id: attrs
version: "26.1.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# attrs — Classes Without Boilerplate

License: permissive · Maintenance: active · Popularity: top 100 on PyPI

## Install

pip install attrs
uv add attrs
poetry add attrs

## Description

<p align="center">
  <a href="https://www.attrs.org/">
    <img src="https://raw.githubusercontent.com/python-attrs/attrs/main/docs/_static/attrs_logo.svg" width="35%" alt="attrs" />
  </a>
</p>


*attrs* is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka [dunder methods](https://www.attrs.org/en/latest/glossary.html#term-dunder-methods)).
Trusted by NASA for [Mars missions since 2020](https://github.com/readme/featured/nasa-ingenuity-helicopter)!

Its main goal is to help you to write **concise** and **correct** software without slowing down your code.


## Sponsors

*attrs* would not be possible without our [amazing sponsors](https://github.com/sponsors/hynek).
Especially those generously supporting us at the *The Organization* tier and higher:

<!-- sponsor-break-begin -->

<p align="center">

<!-- [[[cog
import pathlib, tomllib

for sponsor in tomllib.loads(pathlib.Path("pyproject.toml").read_text())["tool"]["sponcon"]["sponsors"]:
      print(f'<a href="{sponsor["url"]}"><img title="{sponsor["title"]}" src="https://www.attrs.org/en/26.1.0/_static/sponsors/{sponsor["img"]}"...

## AI interpretation — verify before relying

attrs is a Python library that automatically generates boilerplate methods like `__init__`, `__repr__`, and `__eq__` for classes, letting you define attributes declaratively with type annotations or field descriptors.

Verdict: attrs is a mature, zero-dependency library (top 100 on PyPI) with active maintenance, no known vulnerabilities, and permissive licensing. It is production-ready and trusted by NASA; the main decision is whether declarative class generation fits your codebase's style.

[View on SkillFed](https://skillfed.io/packages/attrs) · [View on PyPI](https://pypi.org/project/attrs/)