---
id: pyobjc-framework-mlcompute
version: "12.2.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# pyobjc-framework-MLCompute — Wrappers for the framework MLCompute on macOS

License: permissive · Maintenance: active · Downloads: 648.1K/mo

## What it is and what it does

This package is a PyObjC wrapper layer that exposes Apple's MLCompute framework to Python developers on macOS. MLCompute is Apple's low-level machine learning acceleration framework that can offload compute tasks to specialized hardware. The wrappers translate between Python and Objective-C, allowing you to call MLCompute APIs from Python code, but they do not include their own documentation—you must refer to Apple's MLCompute documentation and PyObjC's general translation guides to understand how to use the framework.

The package is part of the larger PyObjC project and is actively maintained. It supports modern Python versions (3.10 through 3.15) and installs with low friction as a pure wheel. Since it is a thin binding layer rather than a high-level abstraction, it is primarily useful for developers who already understand MLCompute and need to integrate it into Python applications running on macOS.

Use it for:

- Accelerate machine learning inference on macOS by calling MLCompute from Python code.
- Integrate Apple's hardware-accelerated compute into Python-based ML pipelines on Mac systems.
- Build macOS applications that leverage MLCompute for neural network or tensor operations.
- Access low-level MLCompute APIs from Python for custom ML compute tasks on Apple hardware.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Python bindings to Apple's MLCompute framework on macOS, enabling access to machine learning compute acceleration through Objective-C bridge wrappers.

Yes, if you are developing on macOS and need to access MLCompute acceleration from Python. The package is actively maintained, has no known vulnerabilities, installs easily, and carries a permissive MIT license. However, it is only useful on macOS and requires Python 3.10+; it is also a thin binding with no bundled documentation, so you must be comfortable consulting Apple's MLCompute docs and PyObjC translation guides.

## Install

pip install pyobjc-framework-mlcompute
uv add pyobjc-framework-mlcompute
poetry add pyobjc-framework-mlcompute

## Installing pyobjc-framework-MLCompute

Before you install: Low install friction with a pure-wheel distribution. Actively maintained as of 3 days ago with recent commits and stable production status across Python 3.10–3.15.

License in practice: MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Quickstart:

pip install pyobjc-framework-mlcompute

import MLCompute
# Access MLCompute framework classes and methods via PyObjC bindings

Requires macOS and Python 3.10 or later; MLCompute framework is macOS-only and not available on other operating systems.

Verify before relying:

- Whether the package includes type hints or stub files for IDE support.
- Performance overhead of the PyObjC bridge compared to direct Objective-C calls.
- Specific MLCompute features or API coverage provided by these wrappers.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 648.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

macos machine learning acceleration, pyobjc mlcompute bindings, apple mlcompute framework python, objective-c machine learning wrapper, macos neural network compute, macos-only, objective-c-bindings, ml-acceleration

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