analisis-numerico

v1.1.1 suspicious
4.0
Medium Risk

Libreria de Python para analisis numerico

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to the maintainer's limited presence and lack of a GitHub repository, raising suspicion about the maintainer's intent and experience.

  • Low risk scores in network, shell, obfuscation, and credential categories
  • Elevated metadata risk due to single package and no linked GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package and no linked GitHub repository, which may indicate a less experienced or potentially suspicious actor.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

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

Some documentation present

  • Detailed PyPI description (12605 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

  • 18 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

No shell execution patterns detected

✓ 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 2.0

1 maintainer concern(s) found

  • Author "Alejo012G" 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 analisis-numerico 
Create a fully-functional mini-application named 'NumericalSolver' using the Python package 'analisis-numerico'. This application should serve as a user-friendly tool for solving common numerical analysis problems. Here’s what your application should do:

1. **User Interface**: Develop a simple command-line interface where users can interact with the application.
2. **Problem Selection**: Allow users to choose from a list of numerical analysis problems such as root finding, interpolation, numerical integration, and differential equations.
3. **Input Handling**: For each problem type, guide the user through inputting necessary parameters (e.g., function definitions, initial guesses, intervals).
4. **Solution Generation**: Utilize the 'analisis-numerico' package to compute solutions to the selected problems. Ensure the package is leveraged for its core functionalities like root-finding algorithms, polynomial interpolation, quadrature methods, and ODE solvers.
5. **Output Display**: Present the results in a clear and understandable format, including any intermediate steps if applicable.
6. **Error Handling**: Implement robust error handling to manage invalid inputs or issues encountered during computation.
7. **Documentation**: Provide a README file explaining how to install and use the application, along with examples of each problem type solved.

Suggested Features:
- A brief explanation of the numerical method being used for each problem type.
- An option for users to save their problem definitions and solutions to a file.
- A history feature that logs previous problem sessions and their outcomes.
- Interactive help and guidance within the command-line interface.

Your goal is to create an educational and practical tool that demonstrates the capabilities of the 'analisis-numerico' package while providing value to users interested in numerical analysis.

💬 Discussion Feed

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