azure-mgmt-streamanalytics
Microsoft Azure Stream Analytics Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Azure SDK for Stream Analytics management in Python. Install it if you need to programmatically manage Stream Analytics resources on Azure. Low install friction, permissive license, no known vulnerabilities, and stable maintenance make it a safe choice for production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Azure subscription credentials and appropriate permissions to manage Stream Analytics resources.
- Low friction install with stable maintenance.
- The package is actively maintained as part of the Azure SDK, depends on three core Azure libraries (msrest, azure-common, azure-mgmt-core), and supports Python 3.7+.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2022-01-06 (1681 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 165,685 downloads/mo, #10,521 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-streamanalytics
from azure.mgmt.streamanalytics import StreamAnalyticsManagementClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
client = StreamAnalyticsManagementClient(credential, subscription_id)- Whether the package is actively maintained beyond the latest 1.0.0 release (1681 days old as of fact sheet date).
- Support status for Python 2.7 was explicitly ended 01 January 2022; confirm no legacy code paths remain.
What it is and what it does
This is the official Microsoft Azure SDK client library for programmatically managing Azure Stream Analytics resources in Python. It wraps Azure's REST API to let you create, configure, monitor, and delete streaming jobs, manage inputs and outputs, define transformations and functions, and operate clusters—all from Python code. The library is built on msrest, azure-common, and azure-mgmt-core, following Azure SDK conventions for authentication and error handling.
Typical use is to automate Stream Analytics infrastructure as code: provisioning jobs with specific input/output configurations, scaling clusters, querying job status, or integrating Stream Analytics management into larger Azure automation workflows. It's part of the broader Azure SDK ecosystem and is maintained by Microsoft.
Use it for
- Automate provisioning and configuration of Azure Stream Analytics jobs as part of infrastructure-as-code deployments.
- Build monitoring dashboards that query job status, metrics, and operational state programmatically.
- Scale Stream Analytics clusters dynamically in response to workload changes via the begin_scale operation.
- Manage reference data sources (e.g., Azure SQL) and refresh policies for real-time analytics pipelines.
- Integrate Stream Analytics job lifecycle management into CI/CD pipelines or orchestration tools.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained Azure SDK for Stream Analytics management in Python. Install it if you need to programmatically manage Stream Analytics resources on Azure. Low install friction, permissive license, no known vulnerabilities, and stable maintenance make it a safe choice for production use.
Install
azure-mgmt-streamanalytics on PyPI
Before you install
Low friction install with stable maintenance. The package is actively maintained as part of the Azure SDK, depends on three core Azure libraries (msrest, azure-common, azure-mgmt-core), and supports Python 3.7+.
Requires Azure subscription credentials and appropriate permissions to manage Stream Analytics resources.
License in practice
MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install azure-mgmt-streamanalytics
from azure.mgmt.streamanalytics import StreamAnalyticsManagementClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
client = StreamAnalyticsManagementClient(credential, subscription_id)Verify before relying
- Whether the package is actively maintained beyond the latest 1.0.0 release (1681 days old as of fact sheet date).
- Support status for Python 2.7 was explicitly ended 01 January 2022; confirm no legacy code paths remain.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesmsrestazure-commonazure-mgmt-core |
| Maintenance | Actively maintained 1,681 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 165,685 / month, #10,521 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: azure_mgmt_streamanalytics-1.0.0-py3-none-any.whl
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See also azure-mgmt-managementpartner · azure-mgmt-resource-subscriptions · azure-mgmt-commerce · azure-synapse-spark · azure-mgmt-monitor · azure-mgmt-managedservices · azure-mgmt-servicelinker · azure-mgmt-loganalytics · azure-loganalytics · azure-mgmt-securityinsight