# endrazine/wcc

The Witchcraft Compiler Collection

Repository: https://github.com/endrazine/wcc
Canonical: https://ross.abutalabs.com/products/wcc
Language: C
License: NOASSERTION
License Family: other
Last push: 2026-07-17T09:15:28+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 80, longevity 100
- inputs: {"age_days": 3676, "days_push": 47, "days_rel": 52, "gap_med": 78, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2010, forks 116 (observed 2026-08-28T04:06:04.994345+00:00)

## What it is
The Witchcraft Compiler Collection (WCC) is a set of compilation tools for performing binary manipulation on ELF executables across POSIX platforms. It can transform executables into shared libraries, disassemble binaries, and enable reverse engineering and instrumentation workflows.

## Use cases
- convert an ELF executable into a shared library
- reverse engineer stripped binaries on linux
- analyze and manipulate ELF binaries regardless of architecture
- instrument compiled binaries for security research
- load and reuse code from existing executables

## When to choose
- you need to libify or repurpose ELF executables
- you do binary reverse engineering or vulnerability research on POSIX systems
- you want architecture-agnostic ELF manipulation tooling

## When to avoid
- you need a general-purpose production compiler
- you work with non-ELF formats like PE or Mach-O
- you need a polished GUI reverse engineering suite

## Facets
- artifact type: cli-tool
- maturity: active
- function: compiler, reverse-engineering, security, developer-tools
- domain: security, reverse-engineering, developer-tools, compilers
- platform: cli
- tags: elf-binaries, binary-analysis, linker, disassembly, pentesting, linux

## Member repositories
- endrazine/wcc (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:04.994345+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 2026-08-30T03:01:07.996601+00:00, confidence not recorded.
  - readme: https://github.com/endrazine/wcc (fetched 2026-08-28T04:06:04.994345+00:00, sha 4f64d29df798)
- Data as of 2026-08-30T08:39:29.467469+00:00.