avl-aero-tables

v2.0.1 safe
4.0
Medium Risk

Generate aerodynamic lookup tables using AVL (Athena Vortex Lattice)

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe for use with a low risk score. The primary concerns are related to shell execution and metadata activity, but these do not indicate malicious behavior.

  • No network calls detected
  • No secrets or credentials harvested
  • Shell execution is limited to local command execution
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Shell execution is present but seems to be used for running commands locally, possibly for interacting with AVL binaries or executing tests.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No secret harvesting patterns detected, indicating low risk.
  • Metadata: Low activity and lack of classifiers suggest low engagement, but not necessarily malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

  • Test runner config found: pyproject.toml
  • 10 test file(s) detected (e.g. test_aero_fileplot.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1933 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 62 type-annotated function signatures detected in source
○ 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 score 6.0

Found 3 shell execution pattern(s)

  • ry or find_avl() result = subprocess.run( [str(binary)], input="quit\n", capt
  • nary or find_avl() return subprocess.run( [str(binary)], input=command_text,
  • try: r = subprocess.run(args, capture_output=True, text=True, cwd=cwd, timeout=5)
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Brian Borra" 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 avl-aero-tables 
Create a Python-based mini-application named 'AeroTableGenerator' that leverages the 'avl-aero-tables' package to generate aerodynamic lookup tables for various aircraft configurations. This tool should allow users to input basic geometric parameters of an airfoil or wing section, such as chord length, span, aspect ratio, and sweep angle. The application will then use AVL to compute lift and drag coefficients across a range of angles of attack and Reynolds numbers, generating a comprehensive table of aerodynamic data.

Key Features:
1. User-friendly GUI for parameter input and output display.
2. Ability to save generated tables in CSV format for easy integration into other simulation tools.
3. Visualization of lift and drag curves using matplotlib or similar plotting library.
4. Option to include or exclude specific aerodynamic effects like induced drag.
5. Detailed documentation explaining the methodology behind AVL calculations and how the lookup tables can be used in further analyses.

Steps to Implement:
1. Set up a Python environment with the necessary dependencies including 'avl-aero-tables', matplotlib, and any GUI framework you prefer (e.g., PyQt).
2. Design the GUI layout to accommodate user inputs and output displays.
3. Implement backend logic to handle user inputs, call 'avl-aero-tables' functions to generate aerodynamic tables, and store results.
4. Integrate plotting functionality to visualize lift and drag curves based on the generated tables.
5. Add functionality to export tables to CSV files.
6. Write comprehensive documentation detailing each feature and how to use the AeroTableGenerator effectively.
7. Test the application thoroughly with different input scenarios to ensure accuracy and reliability.

💬 Discussion Feed

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