azureml-dataprep-native
Contains package for AzureML DataPrep specific native extensions.
Decision gist · record as of 2026-08-14
Yes, if you are using azureml-dataprep in an Azure ML workflow—this package provides the native extensions that optimize data preparation performance. Install it if azureml-dataprep is a dependency of your project. However, verify the proprietary license terms with Microsoft before deploying in compliance-sensitive environments, and confirm whether it installs automatically as a transitive dependency rather than requiring explicit installation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; platform-specific wheels are required (macOS, Linux, or Windows).
- Medium install friction due to platform-specific wheel distributions across macOS, Linux, and Windows for Python 3.10–3.13.
- Recently updated (18 days since release) with active maintenance status.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available. The package is marked as proprietary, so users should verify licensing terms with Microsoft before deploying in restricted environments.
last release 2026-07-27 (18 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 474,129 downloads/mo, #6,456 on PyPI
Alternatives
Verify before relying
pip install azureml-dataprep-native
import azureml.dataprep as dataprep
# Use as a dependency of azureml-dataprep workflows- What specific performance improvements or data operations the native extensions provide over the base azureml-dataprep package.
- Whether this package must be installed separately or is automatically installed as a dependency of azureml-dataprep.
- Licensing restrictions or compliance requirements for proprietary Azure ML components in enterprise deployments.
What it is and what it does
azureml-dataprep-native is a companion package that supplies compiled native code extensions for the azureml-dataprep SDK. It is designed to accelerate data preparation tasks within Azure Machine Learning pipelines by providing optimized implementations of common operations. The package is platform-specific, with separate wheels built for macOS, Linux, and Windows across Python 3.10 through 3.13.
This is a dependency-level package—it does not expose a public API directly but instead enhances the performance and capabilities of azureml-dataprep when installed. Users typically do not interact with it directly; instead, it works transparently as part of the broader Azure ML data preparation ecosystem. The package is actively maintained and classified as production-stable.
Use it for
- Accelerating data loading and transformation pipelines in Azure Machine Learning Studio workflows.
- Preparing large datasets for model training with optimized native code performance.
- Enabling efficient data cleaning and feature engineering in Azure ML automated machine learning (AutoML) jobs.
- Supporting enterprise data preparation workloads that require compiled performance extensions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using azureml-dataprep in an Azure ML workflow—this package provides the native extensions that optimize data preparation performance.
Install it if azureml-dataprep is a dependency of your project. However, verify the proprietary license terms with Microsoft before deploying in compliance-sensitive environments, and confirm whether it installs automatically as a transitive dependency rather than requiring explicit installation.
Install
azureml-dataprep-native on PyPI
Before you install
Medium install friction due to platform-specific wheel distributions across macOS, Linux, and Windows for Python 3.10–3.13. Recently updated (18 days since release) with active maintenance status.
Requires Python 3.10 or later; platform-specific wheels are required (macOS, Linux, or Windows).
License in practice
License treatment is unclear—no SPDX identifier or raw license text is available. The package is marked as proprietary, so users should verify licensing terms with Microsoft before deploying in restricted environments.
Quickstart
pip install azureml-dataprep-native
import azureml.dataprep as dataprep
# Use as a dependency of azureml-dataprep workflowsVerify before relying
- What specific performance improvements or data operations the native extensions provide over the base azureml-dataprep package.
- Whether this package must be installed separately or is automatically installed as a dependency of azureml-dataprep.
- Licensing restrictions or compliance requirements for proprietary Azure ML components in enterprise deployments.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 18 days since the last release |
| First released | |
| Downloads | 474,129 / month, #6,456 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 :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: Implementation :: CPythonTopic :: Scientific/Engineering |
Evidence: azureml_dataprep_native-43.0.0-cp310-cp310-macosx_10_9_x86_64.whl; azureml_dataprep_native-43.0.0-cp310-cp310-manylinux1_x86_64.whl; azureml_dataprep_native-43.0.0-cp310-cp310-manylinux_2_17_aarch64.whl; azureml_dataprep_native-43.0.0-cp310-cp310-win_amd64.whl; azureml_dataprep_native-43.0.0-cp311-cp311-macosx_10_9_x86_64.whl; azureml_dataprep_native-43.0.0-cp311-cp311-manylinux1_x86_64.whl; azureml_dataprep_native-43.0.0-cp311-cp311-manylinux_2_17_aarch64.whl; azureml_dataprep_native-43.0.0-cp311-cp311-win_amd64.whl; azureml_dataprep_native-43.0.0-cp312-cp312-macosx_10_9_x86_64.whl; azureml_dataprep_native-43.0.0-cp312-cp312-manylinux1_x86_64.whl; azureml_dataprep_native-43.0.0-cp312-cp312-manylinux_2_17_aarch64.whl; azureml_dataprep_native-43.0.0-cp312-cp312-win_amd64.whl; azureml_dataprep_native-43.0.0-cp313-cp313-macosx_10_9_x86_64.whl; azureml_dataprep_native-43.0.0-cp313-cp313-manylinux1_x86_64.whl; azureml_dataprep_native-43.0.0-cp313-cp313-manylinux_2_17_aarch64.whl; azureml_dataprep_native-43.0.0-cp313-cp313-win_amd64.whl
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See also azureml-dataprep · azureml-dataprep-rslex · azureml-pipeline · azureml-pipeline-core · azureml-train · azureml-fsspec · azureml-defaults · azureml-dataset-runtime · azure-ml-component · azureml-contrib-services