`pip install azure-keyvault==4.1.0`

Microsoft Azure Key Vault Client Libraries for Python

Source

Among top 1000 packages on PyPI.

Over 14.7M downloads in the last 90 days.

Commonly used with `azure-keyvault`

Based on how often these packages appear together in public requirements.txt files on GitHub.

azure-mgmt-datalake-nspkg	Microsoft Azure Data Lake Management Namespace Package [Internal]
azure-cosmosdb-table	Microsoft Azure CosmosDB Table Client Library for Python
azure-mgmt-datafactory	Microsoft Azure Data Factory Management Client Library for Python
azure-mgmt-eventgrid	Microsoft Azure EventGrid Management Client Library for Python
azure-mgmt-containerregistry	Microsoft Azure Container Registry Client Library for Python
azure-mgmt-cognitiveservices	Microsoft Azure Cognitive Services Management Client Library for Python
azure-mgmt-datalake-store	Microsoft Azure Data Lake Store Management Client Library for Python
azure-mgmt-rdbms	Microsoft Azure RDBMS Management Client Library for Python
azure-mgmt-cosmosdb	Microsoft Azure Cosmos DB Management Client Library for Python
azure-cosmosdb-nspkg	Microsoft Azure CosmosDB Namespace Package [Internal]
azure-mgmt-containerservice	Microsoft Azure Container Service Management Client Library for Python
azure-mgmt-containerinstance	Microsoft Azure Container Instance Client Library for Python
azure-mgmt-search	Microsoft Azure Search Management Client Library for Python
azure-mgmt-applicationinsights	Microsoft Azure Application Insights Management Client Library for Python
azure-storage-queue	Microsoft Azure Azure Queue Storage Client Library for Python
azure-mgmt-sql	Microsoft Azure SQL Management Client Library for Python
azure-mgmt-iothub	Microsoft Azure IoTHub Management Client Library for Python
azure-mgmt-eventhub	Microsoft Azure EventHub Management Client Library for Python
azure-mgmt-subscription	Microsoft Azure Subscription Management Client Library for Python

Version usage of `azure-keyvault`

Proportion of downloaded versions in the last 3 months (only versions over 1%).

1.1.0	72.02%
4.1.0	22.06%
0.3.7	2.92%
4.0.0	1.58%
1.0.0a1	1.25%