AI Analysis
The package asian-option-pricer v0.1.2 poses minimal risk as it lacks any network calls, shell executions, obfuscation, or credential harvesting activities. The metadata risk is slightly elevated due to the maintainer's single package, but this alone does not indicate malicious intent.
- No network calls detected.
- Single package from the maintainer, slightly raising metadata risk.
Per-check LLM notes
- Network: No network calls detected, which is normal for a financial calculation library.
- Shell: No shell executions detected, which aligns with the expected behavior of a financial tool.
- 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 new or less active account, but no other red flags were found.
Package Quality Overall: Medium (6.6/10)
Test suite present — 6 test file(s) found
Test runner config found: pyproject.toml6 test file(s) detected (e.g. test_adaptive.py)
Some documentation present
Detailed PyPI description (15337 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
33 type-annotated function signatures detected in source
Active multi-contributor project
7 unique contributor(s) across 100 commits in ZixuLiAdrian/MATH-5030-Numercial-Methods-in-FinanceActive 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
No author email provided
All external links appear legitimate
Repository ZixuLiAdrian/MATH-5030-Numercial-Methods-in-Finance appears legitimate
1 maintainer concern(s) found
Author "Chan-Peng Chen, Jack Jia, Zixu Li, Benjamin Tu, Tianrui Wang, Kaifan Ye" 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 Python-based mini-application named 'AsianOptionAnalyzer' that allows users to calculate and analyze the prices of Arithmetic Asian options using the 'asian-option-pricer' package. The application should include a user-friendly interface where users can input parameters such as the initial asset price, strike price, risk-free rate, volatility, time to maturity, and the number of averaging periods. Additionally, the app should provide visualizations of the option price over different values of the underlying asset and time, and allow users to compare the results of different scenarios side-by-side. Implement features like saving the analysis results to a CSV file and generating PDF reports summarizing the financial analysis performed. Ensure that the application showcases the efficiency and accuracy of the pricing methods provided by the 'asian-option-pricer' package through practical examples and real-world use cases.
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