# nst/objc_dep

Graph the import dependancies in an Objective-C project

Repository: https://github.com/nst/objc_dep
Canonical: https://ross.abutalabs.com/products/objc_dep
Language: Python
License Family: other
Last push: 2024-01-19T14:42:16+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5700, "days_push": 957, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1347, forks 143 (observed 2026-08-28T04:04:27.685019+00:00)

## What it is
A Python command-line tool that graphs import dependencies between classes in an Objective-C project, outputting Graphviz visualizations. It helps developers analyze coupling and plan refactoring of legacy codebases.

## Use cases
- visualize import dependencies in an Objective-C project
- find tightly coupled classes before refactoring
- generate a dependency graph of iOS classes
- exclude classes or directories by regex when analyzing dependencies
- detect two-way dependencies between Objective-C classes
- analyze dependency graphs of C projects

## When to choose
- you maintain a legacy Objective-C or C codebase and want to visualize class coupling
- you want a quick Graphviz-based import graph from the command line
- you need to identify circular or two-way dependencies between classes

## When to avoid
- your project is written in Swift rather than Objective-C
- you need continuous architecture governance rather than one-off graphs
- you need a maintained tool with active development and a formal license file

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: developer-tools, static-site-generator, data-visualization
- domain: developer-tools, apple-ecosystem
- platform: cli, python
- tags: objective-c, dependency-graph, graphviz, code-analysis, refactoring, command-line, macos

## Member repositories
- nst/objc_dep (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:27.685019+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 2026-08-30T04:42:37.963253+00:00, confidence not recorded.
  - readme: https://github.com/nst/objc_dep (fetched 2026-08-28T04:04:27.685019+00:00, sha 0b053352c16a)
- Data as of 2026-08-30T08:39:29.467469+00:00.