azure-mgmt-databoxedge
Microsoft Azure Databoxedge Management Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Azure SDK client for Data Box Edge management. Low install friction, permissive MIT license, no known vulnerabilities, and recent release (31 days old) make it a safe choice for anyone building Python automation around Azure edge devices. Required if you need programmatic control of Data Box Edge hardware.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Azure authentication credentials (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID) must be set as environment variables.
- Low install friction with three lightweight runtime dependencies (isodate, azure-mgmt-core, typing-extensions).
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for commercial and proprietary projects.
last release 2026-07-14 (31 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 846,907 downloads/mo, #4,913 on PyPI
Alternatives
Verify before relying
pip install azure-mgmt-databoxedge
from azure.mgmt.databoxedge import DataBoxEdgeManagementClient
from azure.identity import DefaultAzureCredential
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = DataBoxEdgeManagementClient(credential=DefaultAzureCredential(), subscription_id=sub_id)- Whether azure-identity is a required or optional peer dependency for authentication
- Specific operation groups and methods available in version 3.0.0 beyond those listed in release notes
- Whether hybrid model migration path is required for existing code upgrading to 3.0.0
What it is and what it does
This is the official Microsoft Azure SDK client library for managing Data Box Edge devices—physical or virtual edge computing appliances that sit between on-premises infrastructure and Azure cloud. It wraps the Azure management REST API, allowing developers to programmatically provision, configure, monitor, and troubleshoot Data Box Edge devices from Python code.
The package depends on azure-mgmt-core for shared Azure SDK patterns and isodate for timestamp handling. Version 3.0.0 introduces hybrid models (dual dictionary/model nature), new operation groups for device capacity checking and diagnostics, and support for additional device SKUs. It requires Python 3.10 or later and authentication via Microsoft Entra using environment variables.
Use it for
- Automate provisioning and lifecycle management of Data Box Edge devices across multiple Azure subscriptions
- Query device capacity, memory, and storage information to plan workload placement on edge hardware
- Trigger diagnostic log collection and support package generation for troubleshooting edge device issues
- Manage bandwidth schedules, containers, and data synchronization policies on edge devices programmatically
- Integrate edge device management into larger Azure infrastructure-as-code or DevOps automation pipelines
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 client for Data Box Edge management. Low install friction, permissive MIT license, no known vulnerabilities, and recent release (31 days old) make it a safe choice for anyone building Python automation around Azure edge devices. Required if you need programmatic control of Data Box Edge hardware.
Install
azure-mgmt-databoxedge on PyPI
Before you install
Low install friction with three lightweight runtime dependencies (isodate, azure-mgmt-core, typing-extensions). Package is actively maintained with a recent release (31 days old) and backed by the official Azure SDK repository.
Requires Python 3.10 or later. Azure authentication credentials (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID) must be set as environment variables.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for commercial and proprietary projects.
Quickstart
pip install azure-mgmt-databoxedge
from azure.mgmt.databoxedge import DataBoxEdgeManagementClient
from azure.identity import DefaultAzureCredential
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = DataBoxEdgeManagementClient(credential=DefaultAzureCredential(), subscription_id=sub_id)Verify before relying
- Whether azure-identity is a required or optional peer dependency for authentication
- Specific operation groups and methods available in version 3.0.0 beyond those listed in release notes
- Whether hybrid model migration path is required for existing code upgrading to 3.0.0
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesisodateazure-mgmt-coretyping-extensions |
| Maintenance | Actively maintained 31 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 846,907 / month, #4,913 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: azure_mgmt_databoxedge-3.0.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure data box edge management”
- azure-mgmt-databoxedgeProvides Python client library for managing Azure Data Box Edge…
- azure-mgmt-hybridcomputeManages hybrid compute resources in Microsoft Azure—machines,…
- boxsdkProvides a Python client library for interacting with Box's cloud…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also azure-mgmt-hybridcompute · azure-mgmt-storage · azure-mgmt-network · azure-mgmt-compute · azure-mgmt-kusto · azure-mgmt-costmanagement · azure-mgmt-apimanagement · azure-mgmt-datafactory · azure-mgmt-managementpartner · azure-mgmt-managementgroups