transpilatron 7.0.2

A tool for transpiling code from python to C using AI agents.

transpilatron

Write Python. Get a native C binary. No C knowledge required.

uvx transpilatron your_code.py

Benchmarks

Benchmark	Python	C	Speedup
Sieve of Eratosthenes (10M numbers)	0.526s	0.022s	24x
Selection sort (10K elements)	1.963s	0.033s	58x

Verified on the same machine. Same output. Fully static binaries.

How it works

transpilatron uses an AI agent to convert your Python project into C, compiles it (using -O2 or -O3 flags), and hands you a fully static binary. No runtime, no interpreter, no dependencies.

1. Reads your Python entry file and follows all imports
2. Transpiles the full project to C
3. Writes a Makefile and compiles with static linking
4. Drops the binary in out/

Requirements

Tool	Why
uv	Run transpilatron instantly with uvx

Note: You only need uv on your host machine. The AI agent automatically detects, installs, and configures all other development and verification dependencies (like C compilers, make, valgrind, and system headers) inside the build environment.

Install

# Run without installing
uvx transpilatron your_code.py

# Or install globally
uv tool install transpilatron

On first run, the tool installs its dependencies, and asks you to authenticate with poolside.

Usage

uvx transpilatron your_code.py

The binary lands at out/<your_code>. That's it.

What it handles

• Pure Python logic → idiomatic C
• HTTP (requests, urllib3) → raw BSD sockets
• JSON → cJSON
• Threading → pthreads
• File I/O → POSIX syscalls
• Multi-file projects → one binary
• Detects and fixes common Python bugs during transpilation
• Supports many major Python libraries with C extensions by simply using their C backends or alternatives
• The system attempts to translate pure Python libraries as well

Limitations

• Linux and macOS only
• torch / tensorflow — not supported (aborts with a clear error)
• Some dynamic Python patterns (metaclasses, heavy monkey-patching) may not translate cleanly

Examples

examples/
├── sieve.py      # Prime number sieve — 24x speedup
└── sort.py       # Selection sort — 58x speedup

Comparison

While tools like Nuitka and PyInstaller package the CPython interpreter (and its dynamic standard libraries) to guarantee compatibility, transpilatron completely strips the CPython runtime. By translating Python logic into pure, dependency-free C, it allows you to build single, fully static binaries that run in environments with zero external libraries.

Tool	Approach	CPython Runtime Dependency?	Fully Static Binaries?	Output Size	Ideal For
transpilatron	Source-to-source C translation via LLM	No	Yes (trivial)	< 1MB	Any Python application (CLI tools, microservices, serverless, initramfs, scratch containers, embedded)
Nuitka	Translates Python to C calling CPython APIs	Yes	No (requires "shared libs galore" and dynamic loading)	~30MB+	100% CPython compatibility for desktop/server applications
PyInstaller	Bundles Python interpreter + .pyc files into a zip	Yes	No (unpacks dynamic libraries to /tmp at runtime)	~30MB - 100MB+	Distributing desktop apps where size and startup speed don't matter
Cython	Compiles Python/Cython to a C extension module	Yes	No (produces a .so file that must be imported inside Python)	N/A (requires python host)	Speeding up hot paths inside an existing Python project
PyPy	Alternative JIT-compiled interpreter	Yes	No	N/A (it's a heavy runtime)	Long-running Python server applications needing JIT speedups

Why uv?

uv is the fastest Python package manager on the planet. uvx lets you run any Python tool instantly without installing it. If you're not using uv yet, you should be.

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Outputs fully static binaries. Runs even in initramfs. No dynamic linker required.