{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/10"},{"label":"User Interfaces","url":"https://skillfed.io/packages/category/software-development-user-interfaces/2"}],"enrichment":{"capability":"Provides Python bindings to Apple's MLCompute framework on macOS, enabling access to machine learning compute acceleration through Objective-C bridge wrappers.","skillfed_tags":["macos-only","objective-c-bindings","ml-acceleration"],"use_cases":["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."],"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\u2014you must refer to Apple's MLCompute documentation and PyObjC's general translation guides to understand how to use the framework.\n\nThe 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.","worth_installing":"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."},"id":"pyobjc-framework-mlcompute","links":{"html":"https://skillfed.io/packages/pyobjc-framework-mlcompute","md":"https://skillfed.io/packages/pyobjc-framework-mlcompute.md","pypi":"https://pypi.org/project/pyobjc-framework-mlcompute/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"pyobjc-framework-MLCompute","python_support":"supports_current","summary":"Wrappers for the framework MLCompute on macOS"},"popularity":{"monthly_downloads":648118,"position":5587,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"12.2.2"}