# abseil/abseil-py

Abseil Common Libraries (Python)

Repository: https://github.com/abseil/abseil-py
Canonical: https://ross.abutalabs.com/products/abseil-py
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-20T19:48:20+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 67, longevity 100
- inputs: {"age_days": 3270, "days_push": 13, "days_rel": 61, "gap_med": 104.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2450, forks 277 (observed 2026-08-28T04:06:52.898556+00:00)

## What it is
Abseil Python Common Libraries (absl-py) is a collection of Python library code extracted from Google's production codebase. It provides application startup helpers, a distributed commandline flags system, an enhanced logging module, and testing utilities.

## Use cases
- parse commandline flags in python apps
- structured logging for python applications
- python testing utilities
- standardize app startup across python services
- shared common libraries for python projects

## When to choose
- you want battle-tested flag parsing and logging consistent with Google's Python ecosystem
- you need absl-py as a dependency of libraries like TensorFlow or JAX
- you want a simple, stable set of application scaffolding utilities

## When to avoid
- you prefer modern alternatives like argparse, click, or typer for CLI handling
- you need a batteries-included standard library replacement rather than a small utility set
- you want heavy ongoing feature development - the library is mature and changes slowly

## Facets
- artifact type: library
- maturity: stable
- function: logging, testing, cli, developer-tools
- domain: developer-tools
- platform: python, cross-platform
- tags: abseil, flags, app-startup, google, utility-library, command-line, python

## Member repositories
- abseil/abseil-py (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:52.898556+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 2026-08-30T02:30:13.282291+00:00, confidence not recorded.
  - readme: https://github.com/abseil/abseil-py (fetched 2026-08-28T04:06:52.898556+00:00, sha 5f764bf046d4)
- Data as of 2026-08-30T08:39:29.467469+00:00.