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prefect-azure

Prefect integrations with Microsoft Azure services

With conditionsPyPI LibrariesReleased Jul 2026313.0K downloads / moApache License 2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — prefect_azure-0.4.12-py3-none-any.whl
v0.4.12 · released 2026-07-15 · Python >=3.10 · 7 runtime deps: aiohttp, azure_identity, azure_mgmt_containerinstance, azure-mgmt-resource, prefect, prefect-docker, setuptools

Yes, if you run Prefect on Azure and need native integration with Azure services. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and low install friction. It's a first-party Prefect integration with clear documentation and examples. Install it if your workflows depend on Azure storage, compute, or database services; skip it if you're not using Prefect or don't need Azure-specific tasks.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Prefect to be installed and configured; Azure credentials (connection string or managed identity) must be available at runtime.
  • Low install friction with a pure-Python wheel distribution.
  • Active maintenance with a release 30 days ago and ongoing commits.

License · maintenance · safety

Apache License 2.0 (permissive) — Apache License 2.0 (permissive) allows use in commercial and private projects with minimal restrictions; you must include a copy of the license and state significant changes.

last release 2026-07-15 (30 days) · last repo commit 2026-08-14 · 23,623 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 312,988 downloads/mo, #7,720 on PyPI

Verify before relying

pip install prefect-azure

from prefect import flow
from prefect_azure import AzureBlobStorageCredentials
from prefect_azure.blob_storage import blob_storage_download

@flow
def download_blob():
    creds = AzureBlobStorageCredentials(connection_string="...")
    return blob_storage_download(blob="file.txt", container="data", azure_credentials=creds)

download_blob()
  • Whether optional extras (blob_storage, cosmos_db, ml_datastore) are included by default or require separate installation.
  • Exact scope of Azure services supported beyond those explicitly documented in the excerpt.
  • Performance characteristics when running large-scale workflows on Azure Container Instances.
Same gist for agents: .md · .json

What it is and what it does

prefect-azure is an official Prefect integration that extends Prefect's workflow orchestration capabilities to Azure services. It provides task and flow abstractions for Azure Blob Storage (download/upload), Azure Container Instances (job execution), Cosmos DB, and ML Datastore, plus a managed identity authentication plugin that lets the Prefect server connect to Azure Database for PostgreSQL using short-lived Entra tokens instead of passwords. The package ships as a pure-Python wheel with low install friction and depends on Prefect, Azure SDK libraries (azure-identity, azure-mgmt-containerinstance, azure-mgmt-resource), and aiohttp for async operations.

You use it by installing prefect-azure, configuring Azure credentials as Prefect blocks, and then writing Prefect flows that call Azure-specific tasks or use Azure Container Instances as execution infrastructure. It's designed for teams running Prefect on Azure who want native integration with Azure storage, compute, and database services without writing custom connectors.

Use it for

  • Download or upload files from Azure Blob Storage as part of a Prefect workflow without manual SDK setup.
  • Run containerized tasks on Azure Container Instances directly from Prefect flows, scaling compute on demand.
  • Authenticate Prefect server to Azure PostgreSQL using managed identity tokens, eliminating password storage.
  • Deploy Prefect flows to run on Azure Container Instance workers for cloud-native orchestration.
  • Integrate Cosmos DB or ML Datastore operations into Prefect workflows with pre-built tasks.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you run Prefect on Azure and need native integration with Azure services.

The package is actively maintained, has no known vulnerabilities, uses a permissive license, and low install friction. It's a first-party Prefect integration with clear documentation and examples. Install it if your workflows depend on Azure storage, compute, or database services; skip it if you're not using Prefect or don't need Azure-specific tasks.

Install

prefect-azure on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Active maintenance with a release 30 days ago and ongoing commits. Requires Prefect and several Azure SDK packages as runtime dependencies.

Requires Prefect to be installed and configured; Azure credentials (connection string or managed identity) must be available at runtime.

License in practice

Apache License 2.0 (permissive) allows use in commercial and private projects with minimal restrictions; you must include a copy of the license and state significant changes.

Quickstart

pip install prefect-azure

from prefect import flow
from prefect_azure import AzureBlobStorageCredentials
from prefect_azure.blob_storage import blob_storage_download

@flow
def download_blob():
    creds = AzureBlobStorageCredentials(connection_string="...")
    return blob_storage_download(blob="file.txt", container="data", azure_credentials=creds)

download_blob()

Verify before relying

  • Whether optional extras (blob_storage, cosmos_db, ml_datastore) are included by default or require separate installation.
  • Exact scope of Azure services supported beyond those explicitly documented in the excerpt.
  • Performance characteristics when running large-scale workflows on Azure Container Instances.

Package facts

LicenseApache License 2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
7 packages
aiohttpazure_identityazure_mgmt_containerinstanceazure-mgmt-resourceprefectprefect-dockersetuptools
MaintenanceActively maintained 30 days since the last release
Last repo commit
First released
Downloads312,988 / month, #7,720 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: Libraries

Evidence: prefect_azure-0.4.12-py3-none-any.whl

Tags

Capabilities
prefect azure integrationworkflow orchestration azureazure blob storage prefectcontainer instance orchestrationprefect managed identity postgresazure cosmos db prefectprefect deployment azure
Topics
workflow-orchestrationazure-integrationprefect-plugin
PyPI keywords
prefect

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See also prefect-docker · prefect · agent-framework-azure-cosmos · prefect-redis · prefect-dbt · prefect-gcp · prefect-ray · prefect-sqlalchemy · azure-mgmt-cosmosdb · prefect-aws