azure-ml-component
Azure Machine Learning Component SDK
Decision gist · record as of 2026-08-14
No, unless you are maintaining legacy Azure ML pipelines already built with this package. The package is abandoned (no updates in 1190 days) and unlikely to work reliably with current Azure ML service versions. For new projects, use the current Azure ML Python SDK instead of this outdated component framework.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Azure ML workspace credentials and connectivity; the package is abandoned and may not work with current Azure ML service versions.
- Low install friction with a pure-Python wheel, but the package is abandoned as of 1190 days since last release.
- Maintenance status is inactive, so security patches and compatibility updates are unlikely.
License · maintenance · safety
(unclear) — License treatment is unclear; the package points to a Microsoft proprietary license URL (https://aka.ms/azureml-sdk-license) without an SPDX identifier. Review the linked license before committing to production use.
last release 2023-05-12 (1190 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 127,162 downloads/mo, #11,752 on PyPI
Alternatives
Verify before relying
pip install azure-ml-component
from azure.ml.component import Component
# Define and register a component, then use it in a pipeline- Whether the package remains compatible with current Azure ML service APIs and authentication flows
- Whether the abandoned status affects support for modern Python versions beyond 3.10
- Whether existing Azure ML pipelines authored with this package can migrate to current Azure ML tooling
What it is and what it does
Azure-ml-component is a Python SDK for defining, registering, and orchestrating reusable components within Azure Machine Learning pipelines. It abstracts the authoring of ML workflows into composable, versioned components that can be shared and reused across projects. The package depends on azureml-core, azureml-telemetry, and a set of utility libraries (psutil, tqdm, pydash, ruamel.yaml, omegaconf, jinja2, bytecode, azure-core) to handle configuration, templating, and Azure service communication.
The package targets data scientists and ML engineers building production workflows on Azure. However, it has been abandoned for over three years (last release 2023-05-12), meaning no active maintenance, bug fixes, or compatibility updates are available. It supports Python 3.6 through 3.10, but future Python versions and Azure service changes are not guaranteed to be compatible.
Use it for
- Define reusable ML components (data prep, training, evaluation) and compose them into multi-step pipelines
- Register and version components in Azure ML for team collaboration and reproducibility
- Automate end-to-end ML workflows by submitting component-based pipelines to Azure ML compute
- Migrate legacy Azure ML component definitions from older SDK versions into a standardized format
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are maintaining legacy Azure ML pipelines already built with this package.
The package is abandoned (no updates in 1190 days) and unlikely to work reliably with current Azure ML service versions. For new projects, use the current Azure ML Python SDK instead of this outdated component framework.
Install
azure-ml-component on PyPI
Before you install
Low install friction with a pure-Python wheel, but the package is abandoned as of 1190 days since last release. Maintenance status is inactive, so security patches and compatibility updates are unlikely.
Requires Azure ML workspace credentials and connectivity; the package is abandoned and may not work with current Azure ML service versions.
License in practice
License treatment is unclear; the package points to a Microsoft proprietary license URL (https://aka.ms/azureml-sdk-license) without an SPDX identifier. Review the linked license before committing to production use.
Quickstart
pip install azure-ml-component
from azure.ml.component import Component
# Define and register a component, then use it in a pipelineVerify before relying
- Whether the package remains compatible with current Azure ML service APIs and authentication flows
- Whether the abandoned status affects support for modern Python versions beyond 3.10
- Whether existing Azure ML pipelines authored with this package can migrate to current Azure ML tooling
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.6,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 10 packagesazureml-coreazureml-telemetrypsutiltqdmpydashruamel.yamlomegaconfjinja2bytecodeazure-core |
| Maintenance | Abandoned 1,190 days since the last release |
| First released | |
| Downloads | 127,162 / month, #11,752 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: azure_ml_component-0.9.18.post2-py3-none-any.whl
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See also azureml-pipeline-steps · azureml-contrib-services · azureml-pipeline-core · azureml-pipeline · azureml-mlflow · azureml-train · azureml-dataset-runtime · azureml-automl-core · azureml-dataprep · azureml-featurestore