{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence"}],"enrichment":{"capability":"sagemaker-core provides an object-oriented Python interface to Amazon SageMaker resources with full API parity, resource chaining, and type hints for building and deploying machine learning models.","skillfed_tags":["aws-sagemaker","ml-infrastructure","object-oriented-api"],"use_cases":["Build SageMaker training pipelines using object-oriented resource chaining instead of manual API calls.","Deploy ML models to SageMaker endpoints with type-safe, IDE-assisted code and intelligent defaults.","Manage SageMaker notebooks, processing jobs, and feature stores programmatically with less boilerplate.","Migrate from lower-level boto3 calls to a higher-level, more maintainable SDK interface.","Prototype ML workflows quickly using auto-completion and comprehensive type hints in your IDE."],"what_it_does":"sagemaker-core is a Python SDK that wraps Amazon SageMaker's APIs in an object-oriented interface, released in 2024 and actively maintained. It replaces low-level API calls with dedicated resource classes, type hints, and intelligent defaults, allowing developers to chain SageMaker resources together and focus on model building rather than infrastructure plumbing. The package depends on boto3 for AWS communication, pydantic for validation, and a suite of data science libraries (pandas, numpy, scipy) for model work.\n\nThe SDK abstracts state management and polling logic, handles resource transitions automatically, and provides IDE auto-completion. It targets Python 3.10 or later and carries 24 runtime dependencies. The package is in Alpha status, meaning its API may still evolve, but it has no known security vulnerabilities and is actively developed.","worth_installing":"Yes, with conditions. Install if you are building on AWS SageMaker and want a higher-level, type-safe interface over raw boto3 calls. The active maintenance, permissive license, and zero known vulnerabilities are strong signals. However, the Alpha status means the API may change; pin a version and monitor releases. The 24 dependencies are all reputable, but verify they fit your environment constraints before committing to production."},"id":"sagemaker-core","links":{"html":"https://skillfed.io/packages/sagemaker-core","md":"https://skillfed.io/packages/sagemaker-core.md","pypi":"https://pypi.org/project/sagemaker-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"sagemaker-core","python_support":"supports_current","summary":"An python package for sagemaker core functionalities"},"popularity":{"monthly_downloads":8323113,"position":1633,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.19.0"}