azure-mgmt-costmanagement

v4.0.1 safe
2.0
Low Risk

Microsoft Azure Cost Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and its functionality aligns with legitimate use cases for interacting with Azure services.

  • Low network and shell risk
  • No obfuscation or credential harvesting detected
  • Single package from author, potentially new or less active
Per-check LLM notes
  • Network: No network calls detected, which is normal for this package as it primarily interacts with Azure services through SDK methods without direct network calls.
  • Shell: No shell execution patterns detected, consistent with an expected behavior for a legitimate Python library.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage.
  • Metadata: The author has a single package, which might indicate a new or less active account but does not strongly suggest malicious intent.

📦 Package Quality Overall: Low (4.2/10)

○ 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 (12359 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ 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

No obfuscation patterns detected

✓ 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

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

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

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Microsoft Corporation" 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-costmanagement 
Create a Python-based dashboard application that leverages the 'azure-mgmt-costmanagement' library to provide real-time cost analysis and budget alerts for Azure resources. This application will serve as a powerful tool for Azure administrators and financial managers to monitor their cloud expenses effectively. Here are the steps and features to implement:

1. **Setup**: Begin by setting up your development environment with Python installed. Install the necessary packages including 'azure-mgmt-costmanagement', 'pandas', and any other required libraries for data manipulation and visualization.
2. **Authentication**: Implement authentication logic to connect securely to Azure services using either Managed Identity or Service Principal credentials. Ensure you follow best practices for secure credential management.
3. **Data Retrieval**: Use the 'azure-mgmt-costmanagement' library to fetch cost and usage data from Azure. Explore different API methods such as `query` to retrieve detailed cost breakdowns and `download` to get historical cost reports.
4. **Data Processing**: Process the retrieved data using 'pandas' to clean, filter, and aggregate it into meaningful insights. For instance, categorize costs based on resource type, location, or service.
5. **Visualization**: Integrate a visualization library like 'matplotlib' or 'seaborn' to create interactive charts and graphs that display cost trends over time. Include options for users to customize views based on selected criteria.
6. **Budget Alerts**: Implement functionality to set budget thresholds and receive notifications when costs exceed these limits. Utilize webhooks or email services to alert users promptly.
7. **User Interface**: Develop a simple yet intuitive user interface using 'streamlit' or 'dash' where users can view cost summaries, drill down into specific areas of expenditure, and configure alerts.
8. **Documentation & Deployment**: Document your code thoroughly, explaining each module and its purpose. Prepare a deployment guide for Docker containers or cloud environments to make it easy for others to run your application.

By following these steps, you'll develop a robust application that not only provides valuable cost insights but also helps in managing Azure expenses efficiently.

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