🤖 AI Analysis

Final verdict: SAFE

The package acoustotreams v0.2.36 presents minimal risks across all assessed categories, with no signs of malicious activity. The only elevated concern is the metadata risk due to the maintainer having just one package, which is not indicative of a supply-chain attack.

No network calls or shell executions detected
Maintainer has only one package

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no immediate signs of executing external 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, which might indicate a new or less active account, but no other suspicious activities are detected.

🔬 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

Email domain looks legitimate: kit.edu

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository NikUstimenko/acoustotreams appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Nikita Ustimenko" 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 acoustotreams

Create a mini-application that simulates acoustic wave scattering using the 'acoustotreams' package. This application will allow users to input various parameters related to the acoustic waves and scatterers, and it will visualize the resulting scattered waves. Here’s a step-by-step guide on how to build this application:

1. **Introduction**: Begin by introducing the concept of acoustic wave scattering and the importance of the T-matrix method in understanding this phenomenon. Mention the capabilities of the 'acoustotreams' package.

2. **Setup**: Install necessary packages including 'acoustotreams', 'numpy', 'matplotlib', and any other required libraries. Ensure you have a working Python environment.

3. **User Input Interface**: Develop a simple user interface where users can input parameters such as frequency, wavelength, and the shape and size of scatterers. Allow users to choose between different types of scatterers (e.g., spherical, cylindrical).

4. **Simulation Engine**: Use the 'acoustotreams' package to simulate the scattering process based on user inputs. This involves setting up the scatterer geometry, defining the incident wave properties, and calculating the scattered field using the T-matrix method.

5. **Visualization Module**: Implement a module that visualizes the scattered wave patterns. Use 'matplotlib' to plot both the incident and scattered waves. Provide options to view the waves from different angles or in different projections (2D or 3D).

6. **Analysis Tools**: Include tools within the application to analyze the simulation results. For example, calculate the total scattering cross-section, differential scattering cross-section, or angular distribution of scattered intensity.

7. **Documentation and Help**: Create comprehensive documentation for the application, explaining each feature and how to use them effectively. Also, provide a FAQ section addressing common issues or questions users might have.

8. **Testing and Validation**: Test your application thoroughly with known cases to ensure accuracy. Validate the results against theoretical predictions or experimental data if available.

9. **Deployment**: Prepare your application for deployment. Consider packaging it as a standalone executable or web app depending on its intended use.

10. **Enhancements and Future Work**: Suggest potential enhancements such as adding more complex scatterer geometries, implementing real-time interaction for dynamic simulations, or integrating machine learning models to predict scattering behavior.

By following these steps, you'll develop a fully-functional mini-app that not only demonstrates the power of 'acoustotreams' but also serves as an educational tool for understanding acoustic wave scattering.