--- id: azure-mgmt-applicationinsights version: "4.1.0" license: MIT License license_treatment: permissive maintenance: active --- # azure-mgmt-applicationinsights — Microsoft Azure Application Insights Management Client Library for Python License: permissive · Maintenance: active · Downloads: 7.6M/mo ## What it is and what it does This is the official Microsoft Azure SDK for managing Application Insights resources in Python. It provides a client library that wraps the Azure REST API, allowing you to programmatically create, read, update, and delete Application Insights components, workbooks, and web tests within your Azure subscription. The package handles authentication via Azure Active Directory using environment variables and exposes operation groups for different resource types. The library is built on the modern Azure SDK architecture and uses azure-mgmt-core for HTTP handling and polling. It requires Python 3.8 or later and is actively maintained as part of the broader Azure SDK for Python. Recent releases have added support for system metadata tracking and deleted workbook management, reflecting ongoing feature expansion. Use it for: - Automate provisioning of Application Insights components as part of infrastructure-as-code pipelines. - Programmatically create and manage workbooks for monitoring dashboards across multiple Azure subscriptions. - Set up web tests and validation rules for synthetic monitoring of application endpoints. - Retrieve and update Application Insights component settings from Python applications. - Build management tools that list, filter, and organize Application Insights resources across resource groups. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Manages Azure Application Insights resources—components, workbooks, and web tests—through the Azure REST API, enabling programmatic creation, configuration, and monitoring of Application Insights instances. Yes. This is a stable, actively maintained official Microsoft library (Production/Stable status) with no known vulnerabilities, low install friction, and permissive MIT licensing. Install it if you need to manage Azure Application Insights resources programmatically from Python. The only prerequisite is Python 3.8+ and proper Azure credential configuration. ## Install pip install azure-mgmt-applicationinsights uv add azure-mgmt-applicationinsights poetry add azure-mgmt-applicationinsights ## Installing azure-mgmt-applicationinsights Before you install: Low friction install with stable, active maintenance. Depends on four lightweight runtime packages and is distributed as a pure Python wheel. Last release was 526 days ago with active repository status. License in practice: MIT License permits unrestricted use, modification, and distribution in both open-source and commercial projects with minimal obligations—only attribution required. Quickstart: pip install azure-mgmt-applicationinsights from azure.mgmt.applicationinsights import ApplicationInsightsManagementClient from azure.common import CloudCredential import os sub_id = os.getenv("AZURE_SUBSCRIPTION_ID") client = ApplicationInsightsManagementClient( credential=CloudCredential(), subscription_id=sub_id ) Requires Python 3.8+. Azure authentication depends on environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID. Verify before relying: - Whether the package supports async operations or only synchronous client methods. - The full scope of operations available on workbooks, web tests, and other resource types beyond CRUD. - Whether DeletedWorkbooksOperations (added in 4.1.0) enables recovery workflows or only listing. - Repository star count and exact maintenance timeline beyond 'active' status. ## Package facts - License: MIT License (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 7.6M/month (top 5,000 on PyPI) - Known vulnerabilities: none known ## Tags azure application insights management, azure monitoring client library, application insights resource provisioning, azure workbook management, azure web test management, application insights component api, azure sdk monitoring, azure-sdk, cloud-management, monitoring [View on SkillFed](https://skillfed.io/packages/azure-mgmt-applicationinsights) · [View on PyPI](https://pypi.org/project/azure-mgmt-applicationinsights/)