azure-mgmt-azurearcdata

v1.0.1 safe
4.0
Medium Risk

Microsoft Azure Azurearcdata Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with minimal risks identified. It lacks some transparency regarding the maintainer's author information but shows no signs of malicious activity.

  • Incomplete maintainer's author information.
  • No detected network calls, shell executions, or credential harvesting.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package that does not require external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
  • Obfuscation: The observed patterns appear to be related to package management and path extension, which is a common practice in legitimate Python packages.
  • Credentials: No suspicious patterns indicative of credential harvesting were found.
  • Metadata: The maintainer's author information is incomplete, indicating potential lack of transparency.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3044 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 106 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-python
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =
  • ) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: microsoft.com> license-expression: mit

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/azure-sdk-for-python appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with azure-mgmt-azurearcdata 
Create a Python-based utility that leverages the 'azure-mgmt-azurearcdata' package to manage Azure Arc-enabled data services. Your application should be able to perform the following tasks:

1. Authenticate with Azure using Azure Active Directory credentials.
2. List all Azure Arc-enabled data services within a specified subscription.
3. Create a new Azure Arc-enabled data service with customizable settings such as location, SKU, and tags.
4. Update an existing Azure Arc-enabled data service's properties, including its name, SKU, and tags.
5. Delete an Azure Arc-enabled data service by specifying its resource ID.
6. Monitor the status of operations (create, update, delete) until they are completed successfully or fail.
7. Optionally, integrate logging and error handling to provide feedback on the operation's success or failure.
8. Provide a command-line interface (CLI) for users to interact with the application.

The 'azure-mgmt-azurearcdata' package will be used to interact with Azure Arc-enabled data services through its management API. This involves creating a client object with your Azure credentials, calling methods on this client to perform CRUD (Create, Read, Update, Delete) operations on Azure Arc-enabled data services, and handling responses from these operations. Additionally, explore how you might use this package to monitor the health and performance of these services, providing real-time insights into their operational status.

💬 Discussion Feed

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