AI Analysis
The package exhibits low risks across all assessed categories except metadata, where there is some concern due to the author's incomplete profile and limited presence on PyPI. However, these factors alone do not suggest a supply-chain attack.
- No network calls detected
- No shell execution patterns
- No obfuscation or credential harvesting patterns
- Metadata risk due to author's incomplete profile
Per-check LLM notes
- Network: No network calls detected, which is normal for packages not requiring external communications.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The author's name is missing or very short and the author has only one package on PyPI, which may indicate a new or less active account.
Package Quality Overall: Medium (6.4/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://prime.docs.pyansys.comDetailed PyPI description (4482 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
1009 type-annotated function signatures detected in source
Active multi-contributor project
10 unique contributor(s) across 100 commits in ansys/pyprimemeshActive community β 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ansys.com>
All external links appear legitimate
Repository ansys/pyprimemesh appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a fully-functional mini-application named 'MeshOptimizer' using the Python package 'ansys-meshing-prime'. This application will serve as a user-friendly interface to perform mesh optimization on various 3D models. The goal is to streamline the process of generating high-quality meshes suitable for Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) simulations. Hereβs a detailed breakdown of the project requirements: 1. **User Interface**: Design a simple GUI using Tkinter or PyQt to allow users to upload their 3D model files (supported formats: .stl, .obj). The interface should also include options for specifying mesh density and type preferences. 2. **Mesh Generation**: Utilize 'ansys-meshing-prime' to generate initial meshes based on user inputs. Ensure the application handles common issues such as non-manifold geometry and offers suggestions for geometry repair. 3. **Optimization Algorithms**: Implement basic optimization algorithms to refine the mesh quality. These could include smoothing operations, adaptive refinement, and coarsening based on error estimates from the simulation. 4. **Visualization**: Integrate visualization capabilities within the app to display the generated mesh. Users should be able to rotate, zoom, and pan through the mesh in real-time. 5. **Export Functionality**: Provide options for exporting the optimized mesh in standard formats like .vtk or .vtu for further analysis in other software tools. 6. **Documentation & Testing**: Write comprehensive documentation detailing the installation, usage, and customization of the application. Conduct thorough testing to ensure stability and reliability. 7. **Additional Features**: - Allow users to save and load previous mesh configurations. - Include a feature to compare multiple mesh configurations side-by-side. - Offer a tutorial mode for new users to understand the mesh generation process better. By following these steps, you'll create a powerful yet accessible tool for engineers and researchers looking to optimize their meshing workflows without needing deep expertise in Ansys Prime Server.
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