🤖 AI Analysis

Final verdict: SAFE

The package shows very low risk indicators with no network calls, shell executions, obfuscations, or credential risks. However, the maintainer's account status and lack of detailed package metadata suggest caution.

No network calls or shell executions
Lack of detailed metadata and possibly inactive maintainer

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 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: The maintainer has a new or inactive account and the package lacks PyPI classifiers, indicating low effort or poor metadata quality.

🔬 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 4.0

2 maintainer concern(s) found

Author "Md Asaduzzaman Tareq" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with TareqNumerical

Create a mini-application named 'NumericalExplorer' using the Python package 'TareqNumerical'. This application will serve as a user-friendly interface for performing common numerical analysis tasks such as finding roots of equations, solving ordinary differential equations (ODEs), and conducting interpolation operations. Your goal is to build a tool that not only showcases the capabilities of 'TareqNumerical' but also provides educational value by explaining each step of the numerical methods used.

Step-by-Step Instructions:
1. Begin by setting up your development environment with Python and installing the 'TareqNumerical' package.
2. Design a simple graphical user interface (GUI) using a library like PyQt or Tkinter to make the application accessible to users who may not have extensive programming knowledge.
3. Implement a feature to find roots of non-linear equations using the root-finding algorithms provided by 'TareqNumerical'. Allow users to input their own equations and specify initial guesses for the roots.
4. Add functionality to solve first-order ODEs using the ODE solvers from 'TareqNumerical'. Users should be able to enter the differential equation, initial conditions, and the range over which they want to solve the equation.
5. Incorporate an interpolation module that allows users to input a set of data points and choose between different types of interpolations (e.g., linear, polynomial, spline) offered by 'TareqNumerical'.
6. For each task performed, provide a visual representation of the results and include a brief explanation of the numerical method used, highlighting key steps and any approximations made.
7. Ensure the application is well-documented and includes instructions on how to use each feature.
8. Test the application thoroughly to ensure accuracy and reliability of the numerical computations.
9. Finally, create a short tutorial video demonstrating how to use 'NumericalExplorer' to perform various numerical analyses.

Suggested Features:
- Interactive plot generation for visualizing roots, solutions to ODEs, and interpolated functions.
- Ability to save and load previous sessions to continue work without starting from scratch.
- Integration with LaTeX for mathematical expression rendering in the GUI.
- Option to export results and plots in common file formats (PNG, PDF, etc.).
- Detailed documentation and examples for each feature.

Your project should demonstrate a deep understanding of 'TareqNumerical' functionalities and offer a practical, user-friendly tool for learning and applying numerical analysis techniques.