python-attrs/attrs
Python Classes Without Boilerplate observed · 2026-08-28
Health v2 · maintenance only
87/100
- Activity 99
- Release rhythm 63
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 45
- age_days: 4236
- days_rel: 167
- days_push: 8
- n_releases_24m: 6
Adoption not part of the score
5833 stars · 470 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
attrs is a Python library that generates boilerplate dunder methods like __init__, __eq__, and __repr__ for your classes, letting you define them concisely with decorators and type annotations. It is a mature, widely trusted package used in production including by NASA.
Use cases
- reduce boilerplate in python classes
- auto-generate __init__ and __repr__
- define data classes with validation
- compare and hash objects without writing dunders
- write concise immutable value objects
- alternative to dataclasses with more features
When to choose
- you write many plain Python classes and want less boilerplate
- you need validators, converters, or slots beyond stdlib dataclasses
- you want a mature, dependency-light, well-documented library
When to avoid
- stdlib dataclasses meet your needs and you want zero dependencies
- you need ORM-style database mapping rather than plain classes
Facets
library · maturity stable
developer-tools serialization developer-tools programming-languages python oop classes dunder-methods attributes dataclasses
2 sources
- readme: https://github.com/python-attrs/attrs · fetched 2026-08-28 · 175556ce7d52
- registry_pypi: https://pypi.org/pypi/attrs/json · fetched 2026-08-29 · 3e9ad40d43b5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| python-attrs/attrs | main | 87 |
For agents
markdown · JSON · MCP: product_card(name="python-attrs/attrs")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem