{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/4"}],"enrichment":{"capability":"Provides tools to build Docker containers compatible with Amazon SageMaker for model training and inference, handling script execution, hyperparameter mapping, and environment variable management.","skillfed_tags":["deprecated","sagemaker","aws"],"use_cases":["Building legacy SageMaker training containers that execute Python or shell scripts with hyperparameter support.","Creating SageMaker-compatible inference containers that read model artifacts from S3 and serve predictions.","Mapping SageMaker training job hyperparameters to script command-line arguments automatically.","Managing SageMaker environment variables (SM_MODEL_DIR, SM_CHANNEL_*) within custom training scripts."],"what_it_does":"SageMaker Containers is a deprecated library for building Docker images that run on Amazon SageMaker. It automates the setup of SageMaker-compatible containers by handling script entry points, hyperparameter injection as command-line arguments, and environment variable provisioning (such as SM_MODEL_DIR for model checkpoints and SM_CHANNEL_* for input data channels). The library was designed to simplify the process of bringing custom training and inference code to SageMaker without manually managing the container lifecycle.\n\nThe package has been abandoned since June 2020 and is no longer maintained. AWS has explicitly deprecated it in favor of two successor projects: SageMaker Training Toolkit for model training and SageMaker Inference Toolkit for model serving. Any new projects should use those toolkits instead. Existing deployments may continue to work, but security updates, bug fixes, and compatibility with newer SageMaker features are no longer guaranteed.","worth_installing":"No. The package is abandoned (last update 2020-06-22, repository archived) and explicitly deprecated by AWS in favor of SageMaker Training Toolkit and SageMaker Inference Toolkit. High install friction and no active maintenance mean no security updates or compatibility fixes. Use the recommended successor toolkits for any new SageMaker work; only consider this if maintaining legacy code that already depends on it."},"id":"sagemaker-containers","links":{"html":"https://skillfed.io/packages/sagemaker-containers","md":"https://skillfed.io/packages/sagemaker-containers.md","pypi":"https://pypi.org/project/sagemaker-containers/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2020-06-22","license_spdx":null,"license_treatment":"permissive","name":"sagemaker-containers","python_support":"unspecified","summary":"Open source library for creating containers to run on Amazon SageMaker."},"popularity":{"monthly_downloads":189791,"position":9923,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.8.6.post2"}