andrei-maftei-testneon

v0.1.1.dev2026052819147 safe
3.0
Low Risk

Python bindings for the NeoN CFD framework

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks as it does not engage in network calls, shell executions, or obfuscation techniques. However, the metadata risk due to the novelty and lack of maintainer information slightly increases the overall score.

  • No network calls detected
  • No shell execution detected
  • Metadata risk due to novelty and lack of maintainer information
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 package shows some red flags due to its novelty and lack of maintainer information, but there's no concrete evidence of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5279 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ 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

Email domain looks legitimate: example.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 andrei-maftei-testneon
Your task is to develop a mini-application using the 'andrei-maftei-testneon' Python package which provides Python bindings for the NeoN Computational Fluid Dynamics (CFD) framework. This application will serve as a basic tool for simulating fluid flow over a simple geometric shape, such as a cylinder or a flat plate, allowing users to visualize the velocity field around the object and understand the impact of different parameters on fluid dynamics.

### Steps to Create the Application:
1. **Setup Environment:** Begin by setting up your Python environment and installing the 'andrei-maftei-testneon' package along with any necessary dependencies. Ensure you have access to a graphical library like Matplotlib for visualization purposes.
2. **Define Geometry:** Design a simple geometry within the NeoN framework that represents either a cylinder or a flat plate. Use the package’s documentation to create the geometry accurately.
3. **Set Up Simulation Parameters:** Define the initial conditions for the simulation, including fluid properties (e.g., viscosity, density), boundary conditions (e.g., inlet velocity, wall friction), and time steps for the simulation.
4. **Run Simulation:** Utilize the 'andrei-maftei-testneon' package to run the simulation based on the defined parameters. Monitor the progress and ensure the simulation runs without errors.
5. **Visualize Results:** After the simulation completes, extract the velocity field data around the defined geometry. Use Matplotlib or another suitable library to visualize the velocity vectors and streamlines around the object.
6. **Interactive Features:** Implement interactive features where users can adjust parameters like inlet velocity or fluid viscosity directly within the application, and see real-time changes in the simulation results.
7. **Documentation & User Interface:** Provide clear documentation explaining how to use the application, including instructions for running simulations and interpreting the visualizations. Additionally, design a user-friendly interface for inputting parameters and viewing results.

### Suggested Features:
- **Parameter Tuning:** Allow users to easily change simulation parameters and observe the effects on the flow patterns.
- **Multiple Geometries:** Extend the application to support multiple geometries beyond just a cylinder or flat plate.
- **Export Options:** Include functionality to export simulation results in various formats, such as CSV for numerical data or image files for visual outputs.
- **Error Handling & Logging:** Implement robust error handling and logging mechanisms to assist in troubleshooting and improving the application.

By following these steps and incorporating the suggested features, you'll create a valuable tool for learning about computational fluid dynamics and demonstrating the capabilities of the 'andrei-maftei-testneon' package.

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