# robb/Underscore.m

A DSL for Data Manipulation

Repository: https://github.com/robb/Underscore.m
Canonical: https://ross.abutalabs.com/products/underscorem
Homepage: https://robb.github.io/Underscore.m/
Language: Objective-C
License: MIT
License Family: permissive
Archived: true
Last push: 2017-11-11T11:00:30+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5239, "days_push": 3217, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1455, forks 98 (observed 2026-08-28T04:04:46.837157+00:00)

## What it is
Underscore.m is a small Objective-C utility library for functional-style manipulation of common data structures like arrays and dictionaries, inspired by underscore.js. It supports chaining via a DSL that avoids verbose square-bracket syntax.

## Use cases
- filter and map arrays in objective-c
- process json from web apis in objective-c
- chain data transformations in objective-c
- manipulate nsdictionary and nsarray functionally
- clean up nested block syntax in objective-c

## When to choose
- you maintain a legacy Objective-C codebase and want concise functional data manipulation
- you want underscore.js-style chaining for NSArray/NSDictionary

## When to avoid
- you are starting a new project in Swift
- you need an actively maintained library with recent updates

## Facets
- artifact type: library
- maturity: abandoned
- function: developer-tools
- domain: developer-tools, programming-languages
- platform: cpp
- tags: objective-c, functional-programming, data-manipulation, chaining, underscore-js-inspired, ios, macos

## Member repositories
- robb/Underscore.m (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.837157+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 2026-08-30T04:35:39.787008+00:00, confidence not recorded.
  - readme: https://github.com/robb/Underscore.m (fetched 2026-08-28T04:04:46.837157+00:00, sha 50bde446d5da)
  - homepage: https://robb.github.io/Underscore.m/ (fetched 2026-08-29T11:44:45.468945+00:00, sha 948263aed682)
- Data as of 2026-08-30T08:39:29.467469+00:00.