azureml-pipeline-core
Contains core functionality for Azure Machine Learning pipelines, which are configurable machine learning workflows.
Decision gist · record as of 2026-08-14
Yes, if you are building machine learning workflows within Azure Machine Learning. The package is actively maintained, has low install friction, and supports current Python versions. The unclear license requires review before use in proprietary contexts. Install primarily as a dependency of azureml-pipeline or when directly building Azure ML pipelines; it is not a general-purpose tool.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later (up to 3.11); azureml-core must be installed as a runtime dependency.
- Low install friction with a single runtime dependency (azureml-core).
- Maintenance status is active with a recent release within the last 170 days.
License · maintenance · safety
(unclear) — License treatment is unclear; the raw license URL points to a Microsoft legal page (https://aka.ms/azureml-sdk-license) but no SPDX identifier is provided. Review the linked license before use in proprietary or restricted contexts.
last release 2026-02-25 (170 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 323,850 downloads/mo, #7,601 on PyPI
Alternatives
Verify before relying
pip install azureml-pipeline-core
from azureml.pipeline.core import Pipeline
# Define and configure your machine learning workflow- Specific pipeline capabilities and API surface beyond 'core functionality' are not detailed in the fact sheet.
- Whether this package is typically used directly or primarily as a transitive dependency of azureml-pipeline.
- Integration requirements or constraints with Azure services beyond what the fact sheet indicates.
What it is and what it does
azureml-pipeline-core is a foundational package for Azure Machine Learning that supplies the core building blocks needed to construct and manage machine learning pipelines. It is part of the broader azureml ecosystem and depends on azureml-core for its runtime behavior. The package is classified as Beta and targets developers and researchers building ML workflows on Azure.
This package is typically used as infrastructure for defining configurable machine learning workflows—the kind of pipelines that orchestrate data processing, model training, and inference steps. It integrates with Jupyter and IPython environments, suggesting it is designed for interactive development and experimentation. With active maintenance and support for modern Python versions (3.8–3.11), it remains aligned with current development practices.
Use it for
- Define multi-step machine learning workflows that chain data preparation, training, and evaluation tasks in Azure.
- Build reusable pipeline templates for common ML patterns within Azure Machine Learning environments.
- Orchestrate distributed or scheduled ML jobs that require configurable, reproducible execution.
- Integrate ML pipeline definitions with Jupyter notebooks for interactive development and testing.
- Manage dependencies and data flow between pipeline stages in Azure-hosted ML experiments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building machine learning workflows within Azure Machine Learning.
The package is actively maintained, has low install friction, and supports current Python versions. The unclear license requires review before use in proprietary contexts. Install primarily as a dependency of azureml-pipeline or when directly building Azure ML pipelines; it is not a general-purpose tool.
Install
azureml-pipeline-core on PyPI
Before you install
Low install friction with a single runtime dependency (azureml-core). Maintenance status is active with a recent release within the last 170 days. Supports current Python versions from 3.8 through 3.11.
Requires Python 3.8 or later (up to 3.11); azureml-core must be installed as a runtime dependency.
License in practice
License treatment is unclear; the raw license URL points to a Microsoft legal page (https://aka.ms/azureml-sdk-license) but no SPDX identifier is provided. Review the linked license before use in proprietary or restricted contexts.
Quickstart
pip install azureml-pipeline-core
from azureml.pipeline.core import Pipeline
# Define and configure your machine learning workflowVerify before relying
- Specific pipeline capabilities and API surface beyond 'core functionality' are not detailed in the fact sheet.
- Whether this package is typically used directly or primarily as a transitive dependency of azureml-pipeline.
- Integration requirements or constraints with Azure services beyond what the fact sheet indicates.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageazureml-core |
| Maintenance | Actively maintained 170 days since the last release |
| First released | |
| Downloads | 323,850 / month, #7,601 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaFramework :: IPythonIntended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Multimedia :: Graphics |
Evidence: azureml_pipeline_core-1.62.0-py3-none-any.whl
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See also azureml-pipeline · azureml-pipeline-steps · azure-ml-component · zenml · valohai-papi · azureml-contrib-services · dvc-azure · azureml-ai-monitoring · azureml-dataprep · azureml-dataprep-native