AI Analysis
The package shows no signs of malicious behavior based on the provided analysis notes. It has low risk scores across all categories, and there are no indications of supply-chain attacks.
- No network calls detected
- No shell execution patterns
- No obfuscation
- No credential harvesting
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity without context; it could be due to the package's design.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands which is expected and safe.
- Obfuscation: No obfuscation patterns detected, indicating likely legitimate use.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
- Metadata: The author has only one package, suggesting it might be a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (14396 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com
All external links appear legitimate
Repository Azure/azure-sdk-for-python appears legitimate
1 maintainer concern(s) found
Author "Microsoft Corporation" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Python-based utility named 'AzureCostExplorer' that leverages the 'azure-mgmt-consumption' library to provide cost management functionalities for Microsoft Azure users. This utility should allow users to monitor their Azure spending in real-time, generate reports, and set up alerts based on cost thresholds. Here are the key steps and features for your application: 1. **Setup and Authentication**: Begin by setting up the Azure SDK environment and authenticating the user via Azure Active Directory. Ensure that the user has the necessary permissions to access consumption data. 2. **Data Retrieval**: Use the 'azure-mgmt-consumption' library to retrieve detailed cost and usage data from Azure. Implement functions to fetch daily, monthly, and yearly costs. 3. **Visualization**: Integrate a simple visualization component to graphically represent the cost trends over time. Libraries like matplotlib or seaborn can be used for this purpose. 4. **Report Generation**: Create a feature to generate comprehensive cost reports. Users should be able to specify report periods and export them in formats such as PDF or CSV. 5. **Alert System**: Develop an alert system where users can set cost thresholds. When these thresholds are met or exceeded, the system should notify the user through email or SMS. 6. **User Interface**: Optionally, develop a basic command-line interface (CLI) or a web-based interface using Flask or Django to enhance user interaction. 7. **Documentation**: Provide clear documentation explaining how to install and use the utility, including setup instructions for authentication and API configuration. This project aims to empower Azure users with better cost control and visibility, making it easier to manage cloud expenses effectively.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue