{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Builds, optimizes, and manages machine learning workflows in Azure by composing data preparation, model training, and deployment steps into executable pipelines that can be submitted and tracked.","skillfed_tags":["azure-ml","workflow-orchestration","ml-pipelines"],"use_cases":["Orchestrate multi-step data preparation and model training workflows that run on Azure compute resources.","Define reusable pipeline steps and modules to standardize ML processes across teams.","Submit and monitor long-running ML jobs without managing infrastructure directly.","Automate hyperparameter tuning and model validation as part of a repeatable pipeline.","Build end-to-end ML workflows from raw data ingestion through model deployment."],"what_it_does":"azureml-pipeline is a Python SDK component for defining and managing machine learning workflows within Azure Machine Learning. It allows data scientists to compose reusable steps\u2014such as data preparation, model training, hyperparameter tuning, and deployment\u2014into executable pipelines that can be submitted to Azure for distributed execution and tracked over time.\n\nThe package depends on azureml-pipeline-core and azureml-pipeline-steps to provide the underlying pipeline infrastructure and step types. It supports Python 3.8 through 3.11 on Windows, macOS, and Linux, and is classified as production-stable. The package is part of the broader Azure ML SDK ecosystem and is intended for developers and researchers building ML workflows in Azure.","worth_installing":"Yes, if you are building ML workflows in Azure. The package is production-stable, actively maintained, has low install friction, and addresses a core use case for Azure ML users. The proprietary license requires verification of terms, but poses no blocker for typical development use within Azure. No known security vulnerabilities."},"id":"azureml-pipeline","links":{"html":"https://skillfed.io/packages/azureml-pipeline","md":"https://skillfed.io/packages/azureml-pipeline.md","pypi":"https://pypi.org/project/azureml-pipeline/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-25","license_spdx":null,"license_treatment":"unclear","name":"azureml-pipeline","python_support":"supports_current","summary":"Used to build, optimize, and manage their machine learning workflows."},"popularity":{"monthly_downloads":217198,"position":9363,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.62.0"}