🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various dimensions but raises suspicion due to the maintainer's new and inactive account with incomplete metadata.

New or inactive maintainer account
Incomplete author information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
Metadata: The maintainer has a new or inactive account with limited package history and lacks a proper author name.

🔬 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: nsgeng.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository NSG-Engenharia/NsgOrcFx appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 NsgOrcFx

Create a mini-application called 'OrcFxAnalyzer' that leverages the NsgOrcFx package to analyze and visualize data from offshore engineering simulations. This application will serve as a powerful tool for engineers and researchers to gain deeper insights into the behavior of floating structures under various environmental conditions.

Step 1: Setup the Project Environment
- Install Python and ensure you have access to the NsgOrcFx package.
- Set up a virtual environment for your project.

Step 2: Design the Core Functionality
- Implement functions to load simulation data from OrcFxAPI files using NsgOrcFx.
- Develop algorithms within the NsgOrcFx framework to calculate key performance indicators such as motion responses, forces, and stability metrics.

Step 3: Build Data Visualization Tools
- Integrate plotting libraries like Matplotlib or Plotly to create interactive visualizations of the simulation results.
- Create dashboards that allow users to customize their views based on specific parameters of interest.

Step 4: Add User Interaction Features
- Develop a simple GUI using Tkinter or PyQt to make the application more user-friendly.
- Include options for exporting analysis results to CSV or Excel formats.

Step 5: Test and Validate
- Use sample data provided by OrcFxAPI to test the accuracy and reliability of your calculations.
- Perform stress tests to ensure the application can handle large datasets efficiently.

Suggested Features:
- Real-time monitoring of simulation progress.
- Comparative analysis between different simulation scenarios.
- Customizable alerts based on threshold values for certain performance indicators.
- Integration with cloud storage services for easy data sharing.

By utilizing the NsgOrcFx package, you'll be able to tap into advanced computational methods and streamline the process of analyzing complex offshore engineering data.