{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"}],"enrichment":{"capability":"Converts trained machine learning models from popular frameworks into Apple's Core ML format (.mlmodel) and provides tools to examine, test, and make predictions with Core ML models.","skillfed_tags":["model-conversion","apple-ml","core-ml"],"use_cases":["Convert a trained TensorFlow or PyTorch model to Core ML format for deployment in an iOS app.","Export a scikit-learn decision tree or random forest to .mlmodel for use in a macOS application.","Examine and validate a Core ML model's structure and metadata before shipping it to production.","Test model predictions on macOS or iOS using the Core ML framework to verify conversion accuracy.","Build a pipeline to automatically convert and package ML models for distribution via Xcode."],"what_it_does":"coremltools is a Python package for working with Apple's Core ML format (.mlmodel), the standard for machine learning models on iOS, iPadOS, watchOS, macOS, and tvOS. It lets you convert trained models from popular ML frameworks into Core ML format, write models directly to .mlmodel using a simple API, and verify conversions by making predictions through the Core ML framework on supported platforms.\n\nThe package depends on numpy, protobuf, sympy, tqdm, packaging, attrs, cattrs, and pyaml to handle model serialization, computation, and data transformation. It is actively maintained, supports Python 3.7\u20133.13, and has pre-built wheels for macOS and Linux, making installation straightforward on most development machines. Core ML models can then be directly integrated into Xcode projects for deployment on Apple devices.","worth_installing":"Yes, if you are developing machine learning features for Apple platforms (iOS, macOS, watchOS, tvOS). coremltools is the standard tool for converting models to Core ML format and is actively maintained with no known vulnerabilities. Install friction is moderate due to multiple dependencies, but pre-built wheels are available for common platforms. Not relevant if you are not targeting Apple devices."},"id":"coremltools","links":{"html":"https://skillfed.io/packages/coremltools","md":"https://skillfed.io/packages/coremltools.md","pypi":"https://pypi.org/project/coremltools/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-11-10","license_spdx":null,"license_treatment":"permissive","name":"coremltools","python_support":"unspecified","summary":"Community Tools for Core ML"},"popularity":{"monthly_downloads":1900491,"position":3443,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"9.0"}