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Microsoft Azure Azure Container Registry Client Library for Python

Project description

Azure Container Registry client library for Python

Azure Container Registry allows you to store and manage container images and artifacts in a private registry for all types of container deployments.

Use the client library for Azure Container Registry to:

  • List images or artifacts in a registry
  • Obtain metadata for images and artifacts, repositories and tags
  • Set read/write/delete properties on registry items
  • Delete images and artifacts, repositories and tags

Source code | Package (Pypi) | API reference documentation | REST API documentation | Product documentation

Getting started

Install the package

Install the Azure Container Registry client library for Python with pip:

pip install --pre azure-containerregistry


You need an Azure subscription and a Container Registry account to use this package.

To create a new Container Registry, you can use the Azure Portal, Azure PowerShell, or the Azure CLI. Here's an example using the Azure CLI:

az acr create --name MyContainerRegistry --resource-group MyResourceGroup --location westus --sku Basic

Authenticate the client

The Azure Identity library provides easy Azure Active Directory support for authentication. The DefaultAzureCredential assumes the AZURE_CLIENT_ID, AZURE_TENANT_ID, and AZURE_CLIENT_SECRET environment variables are set, for more information refer to the Azure Identity environment variables section

# Create a ContainerRegistryClient that will authenticate through Active Directory
from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential

account_url = ""
audience = ""
client = ContainerRegistryClient(account_url, DefaultAzureCredential(), audience=audience)

Key concepts

A registry stores Docker images and OCI Artifacts. An image or artifact consists of a manifest and layers. An image's manifest describes the layers that make up the image, and is uniquely identified by its digest. An image can also be "tagged" to give it a human-readable alias. An image or artifact can have zero or more tags associated with it, and each tag uniquely identifies the image. A collection of images that share the same name but have different tags, is referred to as a repository.

For more information please see Container Registry Concepts.




Form Recognizer client library will raise exceptions defined in Azure Core.


This library uses the standard logging library for logging.

Basic information about HTTP sessions (URLs, headers, etc.) is logged at INFO level.

Detailed DEBUG level logging, including request/response bodies and unredacted headers, can be enabled on the client or per-operation with the logging_enable keyword argument.

See full SDK logging documentation with examples here.

Optional Configuration

Optional keyword arguments can be passed in at the client and per-operation level. The azure-core reference documentation describes available configurations for retries, logging, transport protocols, and more.

Next steps


This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact with any additional questions or comments.


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