# tadija/AEXML

Swift minion for simple and lightweight XML parsing

Repository: https://github.com/tadija/AEXML
Canonical: https://ross.abutalabs.com/products/aexml
Language: Swift
License: MIT
License Family: permissive
Last push: 2024-01-16T21:47:56+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4339, "days_push": 960, "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 1038, forks 200 (observed 2026-08-28T04:03:19.612314+00:00)

## What it is
AEXML is a simple and lightweight Swift library for reading and writing XML. It provides an easy-to-use API for casual XML handling rather than being a full-featured XML parser.

## Use cases
- parse xml files in an ios app
- read xml data from a bundle resource
- generate xml strings from swift code
- traverse xml elements and attributes easily
- lightweight xml handling without heavy dependencies

## When to choose
- you need simple, casual XML parsing in Swift
- you want a lightweight dependency for reading and writing XML
- you are building iOS, macOS, watchOS, or tvOS apps

## When to avoid
- you need a robust, full-featured, standards-compliant XML parser
- you need validation, namespaces, or advanced XML features
- your project is not in the Apple/Swift ecosystem

## Facets
- artifact type: library
- maturity: maintenance
- function: parser, serialization
- domain: parsers, developer-tools, mobile-development
- platform: -
- tags: xml, xml-parsing, swift, lightweight, cocoapods, swift-package-manager, ios, macos, watchos, tvos

## Member repositories
- tadija/AEXML (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:19.612314+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 2026-08-30T07:04:19.094241+00:00, confidence not recorded.
  - readme: https://github.com/tadija/AEXML (fetched 2026-08-28T04:03:19.612314+00:00, sha 04e6c42c2941)
- Data as of 2026-08-30T08:39:29.467469+00:00.
