Hybrid rule-based + Codex-LLM Python bytecode decompiler. Native Python 3.14; cross-version 3.0–3.13 via xdis. Rules-...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 42/100. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Codex
Model
GPT
Fastest way to find out if pychd belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/diohabara/pychd && cd pychd && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf pychdNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ pychd/ ← clones here
Hybrid rule-based + Codex-LLM Python bytecode decompiler. Native Python 3.14; cross-version 3.0–3.13 via xdis. Rules-only: 99.8% signature recovery on 1,217 modules. Hybrid-rewrite: 93.2% strict-AST (2.59× baseline) and 97.6% functional Pass@1 on HumanEval, above PyLingual/Decompile-Bench.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: May 27, 2026
Repository state: Not marked archived
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