---
id: azure-storage-file-datalake
version: "12.25.0"
license: MIT License
license_treatment: permissive
maintenance: active
---

# azure-storage-file-datalake — Microsoft Azure File DataLake Storage Client Library for Python

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install azure-storage-file-datalake
uv add azure-storage-file-datalake
poetry add azure-storage-file-datalake

## Description

# Azure DataLake service client library for Python
Overview

This preview package for Python includes ADLS Gen2 specific API support made available in Storage SDK. This includes:
1. New directory level operations (Create, Rename, Delete) for hierarchical namespace enabled (HNS) storage account. For HNS enabled accounts, the rename/move operations are atomic.
2. Permission related operations (Get/Set ACLs) for hierarchical namespace enabled (HNS) accounts.


[Source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/storage/azure-storage-file-datalake/azure/storage/filedatalake)
| [Package (PyPi)](https://pypi.org/project/azure-storage-file-datalake/)
| [Package (Conda)](https://anaconda.org/microsoft/azure-storage/)
| [API reference documentation](https://learn.microsoft.com/python/api/azure-storage-file-datalake/azure.storage.filedatalake?view=azure-python)
| [Product documentation](https://learn.microsoft.com/azure/storage/)
| [Samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/storage/azure-storage-file-datalake/samples)


## Getting started

### Prerequisites
* Python 3.9 or later is required to use this package. For more details, please...

## AI interpretation — verify before relying

Provides Python client library for Azure Data Lake Storage Gen2, enabling hierarchical namespace operations (create, rename, delete directories) and permission management (get/set ACLs) on Azure storage accounts.

Verdict: Production-ready library (Development Status 5) with active maintenance, no known vulnerabilities, and permissive MIT licensing. Low install friction and broad Python 3.9+ support make it suitable for enterprise Azure storage integration. Requires Azure account and credentials setup.

[View on SkillFed](https://skillfed.io/packages/azure-storage-file-datalake) · [View on PyPI](https://pypi.org/project/azure-storage-file-datalake/)