AI Analysis
The package shows minimal risks across all checks with no network calls, shell executions, or obfuscation techniques. The only concern is the low activity and poor metadata quality, suggesting it might be an abandoned project.
- Low activity and poor metadata quality
- No detected network calls, shell executions, or obfuscation
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 direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low activity and poor metadata quality suggest potential low effort or abandoned project.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
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
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a financial calculator mini-app using the 'alasco-formulas' Python package. This app will serve as a tool for individuals and small businesses to perform various financial calculations easily. The app should include functionalities such as calculating compound interest, present value, future value, and annuity payments. Additionally, it should have the capability to visualize the growth of investments over time through charts and graphs. Users should be able to input parameters like initial investment amount, interest rate, number of periods, and payment amounts. The app should output the results of each calculation and display them in a user-friendly manner. To utilize the 'alasco-formulas' package, integrate its functions for performing complex financial calculations efficiently. Ensure that the app is well-documented and includes error handling for invalid inputs. Finally, provide a simple GUI or CLI interface for users to interact with the app.
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