---
id: azureml-dataprep
version: "5.5.0"
license: unclear
license_treatment: unclear
maintenance: active
---

# azureml-dataprep — Azure ML Data Preparation SDK is used to load, transform,     and write data for machine learning workflows

License: unclear · Maintenance: active · Downloads: 997.6K/mo

## What it is and what it does

Azure ML Data Prep is a data handling SDK designed for machine learning workflows on Azure. It provides utilities to load, transform, and write data in formats suitable for ML pipelines. The package is marked as internal and not intended for direct use, suggesting it is primarily consumed as a dependency of higher-level Azure ML tools rather than as a standalone library.

The package supports Python 3.10 through 3.13 and has low install friction via a pure-Python wheel. Its runtime dependencies include Azure identity services, serialization tools (cloudpickle), and configuration utilities (jsonschema, pyyaml), reflecting its role within the Azure ML ecosystem. No known security vulnerabilities are recorded.

Use it for:

- Prepare and load data within Azure ML training pipelines and experiments
- Transform tabular data (CSV, Parquet, etc.) for ML model ingestion in Azure environments
- Write processed datasets back to cloud storage as part of ML workflows
- Handle data serialization and schema validation in distributed ML jobs on Azure

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Loads, transforms, and writes data for Azure Machine Learning workflows, with built-in support for multiple data formats and cloud integration.

Yes, if you are building on Azure ML and need data preparation within that ecosystem. No, if you need a general-purpose data manipulation library or are working outside Azure ML—use pandas, polars, or dask instead. The package's 'internal' designation and lack of standalone documentation suggest it is meant as a dependency, not a primary tool.

## Install

pip install azureml-dataprep
uv add azureml-dataprep
poetry add azureml-dataprep

## Installing azureml-dataprep

Before you install: Low install friction with a pure-Python wheel distribution. Actively maintained as of 18 days ago. Depends on several Azure and utility packages (cloudpickle, jsonschema, pyyaml) that are standard in ML environments.

License in practice: Licensed under a proprietary license with unclear terms. Review Microsoft's licensing documentation before deploying in production or redistributing.

Quickstart:

pip install azureml-dataprep
import azureml.dataprep as dprep
df = dprep.read_csv('data.csv')

Requires Python >=3.10; intended for use within Azure ML workflows, not as a standalone library.

Verify before relying:

- Specific data formats and transformations supported beyond 'load, transform, write'
- Whether direct use outside Azure ML environments is supported despite the 'internal' disclaimer
- Performance characteristics and scalability limits for large datasets

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 997.6K/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

azure machine learning data preparation, ml data loading and transformation, azure data prep sdk, cloud ml data pipeline, data preprocessing for azure ml, azure-ml, data-pipeline

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