azapyGUI

v1.0.0 safe
4.0
Medium Risk

GUI for azapy library - Financial Portfolio Optimization Algorithms

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with low risks across most categories. The shell and obfuscation risks are slightly elevated but do not strongly suggest malicious intent without additional context.

  • No network calls detected
  • Potential for executing external commands
  • Use of base64 encoding for image data
Per-check LLM notes
  • Network: No network calls detected, which is low risk.
  • Shell: Execution of external commands like starting Excel suggests potential for unintended behavior or data leakage, but requires further context to determine if it's legitimate functionality.
  • Obfuscation: The use of base64 encoding to decode image data is suspicious but could be legitimate for embedding images within the application.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other suspicious flags were found.

📦 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 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://azapyGUI.readthedocs.io/en/latest
  • Detailed PyPI description (3970 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

  • 10 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 18 commits in Mircea-MMXXI/azapyGUI
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • nfig.calendar) img = base64.b64decode(config.iconimgdata) config.photo = tk.PhotoImage(da
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • try: os.system('start EXCEL.EXE ' + path) except:
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: outlook.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Mircea-MMXXI/azapyGUI appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Mircea Marinescu" 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 azapyGUI 
Create a financial portfolio optimization tool using the 'azapyGUI' package in Python. This tool will help users optimize their investment portfolios based on risk tolerance and expected returns. The application should have a user-friendly graphical interface that allows users to input their current portfolio holdings, expected returns for each asset, and the level of risk they are willing to accept. The app should then use the optimization algorithms provided by 'azapyGUI' to suggest a rebalanced portfolio that maximizes return for the given risk level.

Key Features:
1. User Interface: A clean and intuitive GUI built using 'azapyGUI'.
2. Input Form: Allow users to enter details such as the number of assets, initial investments, expected returns, and risk levels.
3. Portfolio Analysis: Use 'azapyGUI' functions to analyze the entered data and calculate optimal weights for each asset in the portfolio.
4. Visualization: Display the optimized portfolio composition visually, showing the proportion of each asset.
5. Risk-Return Tradeoff: Provide a feature to adjust the risk level and see how it impacts the expected returns.
6. Save & Load: Implement functionality to save the portfolio setup and load it later for analysis.
7. Documentation: Include clear documentation explaining how to use the app and the underlying optimization logic.

Utilize 'azapyGUI' to handle the backend calculations and ensure the application is responsive and efficient. The goal is to create a valuable tool for investors looking to optimize their portfolio allocations.

💬 Discussion Feed

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