pyobjc-framework-MLCompute
Wrappers for the framework MLCompute on macOS
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires macOS and Python 3.10 or later; MLCompute framework is macOS-only and not available on other operating systems.
- 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 · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 803 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 648,118 downloads/mo, #5,587 on PyPI
Alternatives
Verify before relying
pip install pyobjc-framework-mlcompute
import MLCompute
# Access MLCompute framework classes and methods via PyObjC bindings- 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.
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 on this page. Verify before relying on it.
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
pyobjc-framework-mlcompute on PyPI
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.
Requires macOS and Python 3.10 or later; MLCompute framework is macOS-only and not available on other operating systems.
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 bindingsVerify 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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespyobjc-corepyobjc-framework-Cocoa |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 648,118 / month, #5,587 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: MacOS X :: CocoaIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: MacOS :: MacOS XProgramming Language :: Objective CProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.15Programming Language :: Python :: Free Threading :: 3 - StableProgramming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: User Interfaces |
Evidence: pyobjc_framework_mlcompute-12.2.2-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “macos machine learning acceleration”
- pyobjc-framework-MLComputeProvides Python bindings to Apple's MLCompute framework on macOS,…
- pyobjc-framework-CoreMLProvides Python bindings to Apple's CoreML framework on macOS,…
- onnxruntimeonnxruntime loads and executes Open Neural Network Exchange (ONNX)…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also pyobjc-framework-MetalKit · pyobjc-framework-ClassKit · pyobjc-framework-MetalPerformanceShaders · pyobjc-framework-NaturalLanguage · pyobjc-framework-Vision · pyobjc-framework-Network · pyobjc-framework-CoreML · pyobjc-framework-CoreAudio · pyobjc-framework-Metal · pyobjc-framework-MetalPerformanceShadersGraph