# jehna/humanify

Deobfuscate Javascript code using ChatGPT

Repository: https://github.com/jehna/humanify
Canonical: https://ross.abutalabs.com/products/humanify
Language: Rust
License: MIT
License Family: permissive
Last push: 2026-07-29T19:56:28+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 95, longevity 82
- inputs: {"age_days": 1161, "days_push": 35, "days_rel": 35, "gap_med": 22.5, "n_releases_24m": 9}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3272, forks 207 (observed 2026-08-28T04:07:53.126619+00:00)

## What it is
A Rust CLI tool that unminifies and deobfuscates JavaScript by using LLMs (OpenAI, Anthropic, Gemini, OpenRouter, or local Ollama) to suggest meaningful identifier names, while the oxc parser performs AST-level rewrites. It ships as a single static binary with Unix-style stdin/stdout piping.

## Use cases
- deobfuscate minified javascript code
- rename mangled variable names in a minified js bundle
- unminify webpack output before reverse engineering
- make obfuscated javascript readable using a local LLM
- pipe webcrack output through a renamer
- recover readable names from a minified library

## When to choose
- you need readable JavaScript from minified or obfuscated code
- you want a free local option via Ollama
- you prefer a single static binary with no Node/npm dependencies
- you want to pipe output from webcrack or other deobfuscators

## When to avoid
- you need full deobfuscation of control-flow flattening rather than identifier renaming
- you cannot send code to cloud LLM APIs and lack a capable local model
- your file has thousands of identifiers and API costs are a concern

## Facets
- artifact type: cli-tool
- maturity: active
- function: nlp, llm-inference, developer-tools, reverse-engineering, parser
- domain: developer-tools, reverse-engineering, large-language-models
- platform: cli, cross-platform, windows
- tags: deobfuscation, unminify, javascript, llm, code-renaming, ast, linux, macos

## Member repositories
- jehna/humanify (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.126619+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 2026-08-29T18:43:49.061588+00:00, confidence not recorded.
  - readme: https://github.com/jehna/humanify (fetched 2026-08-28T04:07:53.126619+00:00, sha 562d2faedcdf)
- Data as of 2026-08-30T08:39:29.467469+00:00.