azureml-dataprep-native
Contains package for AzureML DataPrep specific native extensions.
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
Provides native code extensions for the azureml-dataprep package, enabling optimized data preparation operations for Azure Machine Learning workflows.
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
pip
pip install azureml-dataprep-nativeuv
uv add azureml-dataprep-nativepoetry
poetry add azureml-dataprep-nativeInstalling azureml-dataprep-native
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.
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 workflows
Requires Python 3.10 or later; platform-specific wheels are required (macOS, Linux, or Windows).
Verify 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) |
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
Tags
More Scientific/Engineering packages
NumPy provides an N-dimensional array object…
permissive · top 100 on PyPI
pandaspandas provides fast, flexible data structures…
permissive · top 100 on PyPI
scipyscipy provides numerical algorithms for…
permissive · top 100 on PyPI
scikit-learnscikit-learn provides a comprehensive Python…
permissive · top 1,000 on PyPI
dilldill extends Python's pickle module to…
permissive · top 1,000 on PyPI
multiprocessMultiprocess is an enhanced fork of Python's…
permissive · top 1,000 on PyPI
azureml-dataprepLoads, transforms, and writes data for Azure…
unclear · top 5,000 on PyPI
azureml-dataprep-rslexA Rust-based execution engine for Azure Machine…
unclear · top 15,000 on PyPI
azureml-pipelineBuilds, optimizes, and manages machine learning…
unclear · top 15,000 on PyPI
azureml-pipeline-coreProvides core pipeline infrastructure for Azure…
unclear · top 15,000 on PyPI
azureml-trainA deprecated wrapper package that redirects…
unclear · top 15,000 on PyPI
azureml-fsspecProvides a filesystem interface to Azure…
unclear · top 15,000 on PyPI
azureml-defaultsazureml-defaults is a metapackage that bundles…
unclear · top 15,000 on PyPI
azureml-dataset-runtimeCoordinates internal Azure Machine Learning SDK…
unclear · top 15,000 on PyPI
azure-ml-componentAuthoring, managing, and submitting Azure…
unclear · top 15,000 on PyPI
azureml-contrib-servicesProvides utilities for handling raw HTTP…
unclear · top 15,000 on PyPI