{"library":"azureml-pipeline","type":"library","category":null,"description":"The `azureml-pipeline` library is part of the Azure Machine Learning V1 Python SDK, used to build, optimize, and manage complex machine learning workflows as pipelines. It enables users to define sequences of steps, manage data dependencies, and run these pipelines on various Azure compute targets. The current version is 1.62.0, and it generally follows the release cadence of the broader Azure ML V1 SDK, with updates typically occurring monthly or bi-monthly.","language":"python","status":"active","version":"1.62.0","tags":["azure","machine-learning","pipeline","mlops","v1-sdk"],"last_verified":"Mon May 25","install":[{"cmd":"pip install azureml-pipeline azureml-core","imports":["from azureml.core import Workspace","from azureml.core import Experiment","from azureml.core.compute import ComputeTarget, AmlCompute","from azureml.pipeline.core import Pipeline","from azureml.pipeline.steps import PythonScriptStep","from azureml.pipeline.core import PipelineData"]}],"homepage":"https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/azureml-pipeline/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":24.8,"avg_import_s":3.14,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/azureml-pipeline/compatibility"}}