astrea

v0.8.1 safe
4.0
Medium Risk

Python bindings for astrea C++ library

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no indications of malicious activities. However, it has a moderate risk score due to low maintainer activity and poor metadata quality.

  • No network or shell execution risks detected.
  • Low maintainer activity and poor metadata quality noted.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code being hidden maliciously.
  • Credentials: No credential harvesting patterns detected, indicating no suspicious activity related to stealing secrets.
  • Metadata: The package shows some signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ 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 (1681 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with astrea 
Your task is to develop a Python-based mini-application that leverages the 'astrea' package to perform advanced data analysis tasks on large datasets. This application will serve as a powerful tool for researchers and data scientists looking to process complex data efficiently. Here are the steps and features you need to implement:

1. **Setup Environment**: Ensure your development environment includes Python and the 'astrea' package installed. Use virtual environments for better isolation.
2. **Data Importing**: Design a feature that allows users to import various types of data files (CSV, JSON, etc.) into the application. Utilize the 'astrea' package to optimize the memory usage during the import process.
3. **Data Processing**: Implement functions within the application to perform basic statistical analyses such as mean, median, mode, and standard deviation using the 'astrea' library for enhanced performance. Additionally, include more complex operations like clustering or regression analysis if possible.
4. **Visualization**: Integrate a visualization component using matplotlib or seaborn to display the results of the analysis in graphical formats (charts, graphs). The 'astrea' package should support efficient data manipulation for these visualizations.
5. **Export Results**: Allow users to export the analyzed data and visualizations into different formats (PDF, CSV, PNG).
6. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. Consider adding options for real-time data processing and analysis.
7. **Documentation**: Write comprehensive documentation explaining how to install the application, use its features, and interpret the results.

By completing this project, you'll create a versatile tool that showcases the capabilities of the 'astrea' package while providing practical value to end-users.

💬 Discussion Feed

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