{"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 macOS's MetricKit framework, enabling access to performance and diagnostic metrics collection on Apple platforms.","skillfed_tags":["macos-only","pyobjc-framework","performance-monitoring"],"use_cases":["Collect performance metrics from a Python application running on macOS to monitor CPU, memory, and battery usage.","Build macOS system monitoring tools that leverage native MetricKit data collection without writing Objective-C.","Integrate MetricKit diagnostics into Python-based macOS app testing or profiling workflows.","Access low-level performance telemetry in Python scripts running on Apple Silicon or Intel Macs."],"what_it_does":"pyobjc-framework-metrickit is a thin wrapper layer that exposes Apple's MetricKit framework to Python code running on macOS. MetricKit is an Apple system framework for collecting performance diagnostics and metrics from applications\u2014things like CPU usage, memory footprint, disk I/O, and battery impact. This package bridges the gap between Python and the native Objective-C framework, allowing Python developers to call MetricKit APIs directly without writing Objective-C code.\n\nThe package is part of the larger PyObjC project, which provides general-purpose bindings to macOS frameworks. It depends on pyobjc-core (the bridge machinery) and pyobjc-framework-Cocoa (the base macOS framework bindings). The wrapper itself does not include documentation\u2014you are expected to consult Apple's official MetricKit documentation and PyObjC's general translation guides to understand how to use it. Installation is straightforward on macOS but impossible on other platforms.","worth_installing":"Yes, if you are developing on macOS and need access to native MetricKit performance diagnostics from Python. The package is actively maintained, has no known vulnerabilities, and carries a permissive MIT license. Install friction is moderate due to platform specificity and compiled dependencies, but that is unavoidable for any PyObjC framework binding. Not applicable on non-macOS systems."},"id":"pyobjc-framework-metrickit","links":{"html":"https://skillfed.io/packages/pyobjc-framework-metrickit","md":"https://skillfed.io/packages/pyobjc-framework-metrickit.md","pypi":"https://pypi.org/project/pyobjc-framework-metrickit/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"pyobjc-framework-MetricKit","python_support":"supports_current","summary":"Wrappers for the framework MetricKit on macOS"},"popularity":{"monthly_downloads":652692,"position":5542,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"12.2.2"}