AI Analysis
The package shows no signs of malicious intent or risky behavior. The metadata risk is slightly elevated due to the maintainer's limited package history, but this alone does not suggest a supply-chain attack.
- No network, shell, or obfuscation risks detected.
- Low credential risk.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell executions detected, indicating no immediate risk from command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, suggesting a potentially new or less active account, but no other red flags were identified.
Package Quality Overall: Medium (5.0/10)
Test suite present — 3 test file(s) found
3 test file(s) detected (e.g. test_gbm_pricing.py)
Some documentation present
Detailed PyPI description (47094 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 46 commits in RyanHou0303/AsianOptionSmall but multi-author team (3–4 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
No author email provided
All external links appear legitimate
Repository RyanHou0303/AsianOption appears legitimate
1 maintainer concern(s) found
Author "Ryan Hou" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a financial analysis tool using Python that leverages the 'asianoption' package to price various types of Asian options. This mini-application should allow users to input key parameters such as strike price, spot price, volatility, risk-free rate, time to maturity, and the number of observations for the average calculation. The application should offer several pricing methods available within the 'asianoption' package, including Monte Carlo simulation, control variates, analytical approximations, and stochastic volatility models. Users should be able to select their preferred method and see the outputted option price along with a confidence interval if applicable. Additionally, implement a feature where users can compare the results from different pricing methods side by side. Include a simple graphical user interface (GUI) built with Tkinter or similar to make the application more accessible and user-friendly. Finally, ensure the application is well-documented with comments explaining each part of the code and include a README file detailing installation instructions and how to run the application.
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