LOGO

cthreads compiles a typed Python subset into C++ so work can run on real OS threads without the GIL allowing true concurrency without multiprocessing's process boundaries and pickling tax.

Use @Thread on functions/methods and @Threadable on classes. The whitelist covers the usual scalars and containers, plus your own Threadable types. Code runs at native speed while you keep a Python-shaped control flow (jobs, pools, sync).

Docs

Install

Python >= 3.10, a C++17 compiler, and CMake >= 3.18 (CMake is only needed to build the native _ext module). Full toolchain notes: docs/install.md.

From PyPI

Published wheels (Linux / Windows x86_64) and the sdist are on PyPI:

pip install cthreads

You still need a C++ compiler for the first thread(...) (user kernels). On Linux, wheels include a prebuilt _ext; CMake is only required if you install from the sdist or develop from source.

From this repo (editable)

python -m venv .venv
# activate, then:
pip install cmake ninja    # CMake/Ninja in the venv; compiler is still system/MSVC
pip install -e ".[test]"   # or: pip install -e .

First cthreads.thread(...) auto-runs cache-checked prepare + load_kernels. Call unload_kernels() before a force rebuild (thread(..., force=True) or prepare(force=True)).

How we publish: docs/release.md.

Introduction

Annotate what should become a native kernel:

@Thread - functions / methods compiled to C++
@Threadable - classes compiled to C++ structs (shared state across kernels)

Supported types

Allowed in annotations (arguments, returns, locals, Threadable fields):

int, float, bool, str
list[...] of allowed types
dict[...] of allowed types (typically dict[str, ...])
nested combinations of the above
@Threadable classes
any internal types imported by cthreads

This is a whitelist, not full Python. No arbitrary objects, no untyped values in kernels.

`@Thread`

Marks a function or method for compilation. Pass it to cthreads.thread(...) to run off the GIL.

from cthreads import Thread

@Thread
def my_example_function() -> None:
    return None

Rules

Typed parameters and a return type (use -> None when there is no value).
No *args / **kwargs.
Locals must be annotated with an allowed type (x: int = 0).
Inside the body, only call other @Thread functions/methods, plus python math (import math), cthreads.modules, not arbitrary Python.
Return values must match the declared return type.

from cthreads import Thread

@Thread
def example_function(val1: int, val2: list[float], val3: ExampleClass) -> ExampleClass:
    var4: str = "hello there"
    var5: int = 42

    val3.some_string_attr = var4
    val3.some_int_attr = var5
    return val3

`@Threadable`

Python's open object model does not map cleanly to C++. @Threadable marks a class so the compiler can emit a fixed C++ struct and marshal it safely.

from cthreads import Threadable

@Threadable
class MyExample:
    x: float
    y: float

Rules

All fields are typed at class scope (dataclass-style annotations).
Do not define / override __init__. The decorator injects a dataclass-style constructor (ExampleClass(1, "x") or ExampleClass(attr1=1); omitted fields zero / empty, matching C++ T{}).
Kernel methods must use @Thread and take self like normal methods.
Method argument / return annotations must be allowed types (or -> None).

from cthreads import Threadable, Thread

@Threadable
class ExampleClass:
    attr1: int
    attr2: str
    attr3: list[float]

    @Thread
    def method1(self) -> None:
        self.attr1 += 1

    @Thread
    def method2(self, string: str) -> str:
        return self.attr2 + string


obj = ExampleClass(0, "1", [2.0, 3.0])

obj.method1()
print(obj.attr1, obj.method2(" 1"))  # 1  1 1

Why Threadables?

shared state for worker threads
typed containers / domain objects
grouping related kernel methods

Run a `@Thread`

import cthreads
from cthreads import Thread

@Thread
def example_function(lhs: float, rhs: float, count: int) -> float:
    for i in range(count):
        lhs += rhs
    return lhs

# Sync: Job -> join -> result
job = cthreads.thread(example_function, 1.5, 2.0, 200)
job.join() # starts if needed; blocks this thread (GIL released in C++)
result = job.result()

# Async: await auto-starts and returns the result (event loop stays free)
job = cthreads.thread(example_function, 1.5, 2.0, 200)
result = await job

Signature: cthreads.thread(fn, *args, force: bool = False, **kwargs) -> Job.

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The following attestation bundles were made for cthreads-0.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: release.yml on K-T0BIAS/CThreads

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: cthreads-0.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
- Subject digest: 2c8fb2c94a7818cc8330a1e826bdc920dbda5b019b41be5b01b1c90ef4262c34
- Sigstore transparency entry: 2667616339
- Sigstore integration time: Aug 31, 2026
Source repository:
- Permalink: K-T0BIAS/CThreads@65ee752f46e139811dd3f9c20adc70bf61b7a4be
- Branch / Tag: refs/tags/v0.1.0
- Owner: https://github.com/K-T0BIAS
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@65ee752f46e139811dd3f9c20adc70bf61b7a4be
- Trigger Event: release

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This release

0.1.0 This release

Aug 31, 2026 9 files

cthreads 0.1.0

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@Thread

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`@Thread`

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