# pointfreeco/swift-parsing

A library for turning nebulous data into well-structured data, with a focus on composition, performance, generality, and ergonomics.

Repository: https://github.com/pointfreeco/swift-parsing
Canonical: https://ross.abutalabs.com/products/swift-parsing
Homepage: https://www.pointfree.co/collections/parsing
Language: Swift
License: MIT
License Family: permissive
Last push: 2026-09-02T16:45:12+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 88, longevity 100
- inputs: {"age_days": 2081, "days_push": 0, "days_rel": 0, "gap_med": 38.0, "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 997, forks 85 (observed 2026-09-03T02:15:16.996749+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- pointfreeco/swift-parsing (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:16.996749+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.